Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Ukraiński (UK)
Przejdź do strony domowej biblioteki Uniwersytet Ekonomiczny we Wrocławiu Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaUniwersytet Ekonomiczny we Wrocławiu

Wyszukujesz frazę ""Machine learning"" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-20 z 7091
Tytuł:
Machine learning prediction and classification of behavioral selection in a canine olfactory detection program.
Autorzy:
Eyre AW; Center for Clinical and Translational Research, The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, 43205, USA.
Zapata I; Department of Biomedical Sciences, Rocky Vista University College of Osteopathic Medicine, Parker, CO, 80134, USA.
Hare E; Dog Genetics LLC, Astoria, NY, 11102, USA.; Penn Vet Working Dog Center, Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19146, USA.
Serpell JA; Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Otto CM; Penn Vet Working Dog Center, Department of Clinical Sciences and Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19146, USA.
Alvarez CE; Departments of Pediatrics and Veterinary Clinical Sciences, The Ohio State University Colleges of Medicine and Veterinary Medicine, Columbus, OH, 43210, USA. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Aug 01; Vol. 13 (1), pp. 12489. Date of Electronic Publication: 2023 Aug 01.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Smell*
Machine Learning*
Dogs ; Animals ; Supervised Machine Learning ; Algorithms ; Mental Processes
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Generalization of vision pre-trained models for histopathology.
Autorzy:
Sikaroudi M; Kimia Lab, University of Waterloo, Waterloo, ON, Canada.
Hosseini M; Kimia Lab, University of Waterloo, Waterloo, ON, Canada.
Gonzalez R; Kimia Lab, University of Waterloo, Waterloo, ON, Canada.; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Rahnamayan S; Kimia Lab, University of Waterloo, Waterloo, ON, Canada.; Engineering Department, Brock University, St. Catharines, ON, Canada.
Tizhoosh HR; Kimia Lab, University of Waterloo, Waterloo, ON, Canada. .; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA. .; Rhazes Lab, Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Apr 13; Vol. 13 (1), pp. 6065. Date of Electronic Publication: 2023 Apr 13.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Neural Networks, Computer*
Machine Learning*
Humans ; Supervised Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Uncovering the complex genetic architecture of human plasma lipidome using machine learning methods.
Autorzy:
Lehtimäki M; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
Mishra BH; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
Del-Val C; Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.; Instituto de Investigación Biosanitaria ibs. GRANADA, Complejo Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain.
Lyytikäinen LP; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
Kähönen M; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland.
Cloninger CR; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Raitakari OT; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
Laaksonen R; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Zora Biosciences Oy, Espoo, Finland.
Zwir I; Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.; Instituto de Investigación Biosanitaria ibs. GRANADA, Complejo Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain.
Lehtimäki T; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
Mishra PP; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. .; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland. .; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Feb 22; Vol. 13 (1), pp. 3078. Date of Electronic Publication: 2023 Feb 22.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Lipidomics*
Machine Learning*
Humans ; Genotype ; Phenotype ; Unsupervised Machine Learning ; Polymorphism, Single Nucleotide
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Detecting cognitive traits and occupational proficiency using EEG and statistical inference.
Autorzy:
Mikheev I; Department of Psychology, HSE University, Moscow, 101000, Russia. .
Steiner H; Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, 117485, Russia.
Martynova O; Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, 117485, Russia.; Centre for Cognition and Decision Making, HSE University, Moscow, 101000, Russia.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2024 Mar 07; Vol. 14 (1), pp. 5605. Date of Electronic Publication: 2024 Mar 07.
Typ publikacji:
Journal Article
MeSH Terms:
Electroencephalography*/methods
Machine Learning*
Humans ; Cognition
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Correlation enhanced distribution adaptation for prediction of fall risk.
Autorzy:
Guo Z; Department of Systems Science and Industrial Engineering, The State University of New York at Binghamton, Binghamton, USA.
Wu T; School of Computing and Augmented Intelligence, Arizona State University, Tempe, USA.
Lockhart TE; School of Biological and Health Systems Engineering, Arizona State University, Tempe, USA.
Soangra R; Department of Physical Therapy, Chapman University, Orange, USA.
Yoon H; Department of Industrial Engineering, Yonsei University, Seoul, Korea. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2024 Feb 12; Vol. 14 (1), pp. 3477. Date of Electronic Publication: 2024 Feb 12.
Typ publikacji:
Journal Article
MeSH Terms:
Accidental Falls*/prevention & control
Machine Learning*
Aged ; Humans ; Computer Simulation
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department.
Autorzy:
Rahmatinejad Z; Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Dehghani T; Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Toos Institute of Higher Education, Mashhad, Iran.
Hoseini B; Pharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Rahmatinejad F; Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Lotfata A; Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA, USA.
Reihani H; Department of Emergency Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. .
Eslami S; Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. .; Pharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran. .; Department of Medical Informatics, Amsterdam UMC - Location AMC, University of Amsterdam, Amsterdam, The Netherlands. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2024 Feb 10; Vol. 14 (1), pp. 3406. Date of Electronic Publication: 2024 Feb 10.
Typ publikacji:
Journal Article
MeSH Terms:
Emergency Service, Hospital*
Machine Learning*
Adult ; Humans ; Logistic Models ; Hospital Mortality ; Cross-Sectional Studies ; Retrospective Studies
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A quality grade classification method for fresh tea leaves based on an improved YOLOv8x-SPPCSPC-CBAM model.
Autorzy:
Zhao X; College of Information Science and Engineering, Shandong Agricultural University, Taian, China.
He Y; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian, China.
Zhang H; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian, China.
Ding Z; Tea Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China.
Zhou C; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian, China. .
Zhang K; College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian, China. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2024 Feb 20; Vol. 14 (1), pp. 4166. Date of Electronic Publication: 2024 Feb 20.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Machine Learning*
Mental Recall ; Plant Leaves ; Tea
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Combined substituent number utilized machine learning for the development of antimicrobial agent.
Autorzy:
Yamauchi K; Institute of Multidisciplinary Research for Advance Materials (IMRAM), Tohoku University, Aoba-Ku, Sendai, Miyagi, 980-8577, Japan.
Nakatsuji H; Institute of Multidisciplinary Research for Advance Materials (IMRAM), Tohoku University, Aoba-Ku, Sendai, Miyagi, 980-8577, Japan. .; East Tokyo Laboratory, Genesis Research Institute, Inc., 717-86 Futamata, Ichikawa, Chiba, 272-0001, Japan. .
Kamishima T; East Tokyo Laboratory, Genesis Research Institute, Inc., 717-86 Futamata, Ichikawa, Chiba, 272-0001, Japan.
Koseki Y; Institute of Multidisciplinary Research for Advance Materials (IMRAM), Tohoku University, Aoba-Ku, Sendai, Miyagi, 980-8577, Japan.
Kubo M; Department of Chemical Engineering, Graduate School of Engineering, Tohoku University, Aoba-Ku, Sendai, Miyagi, 980-8579, Japan.
Kasai H; Institute of Multidisciplinary Research for Advance Materials (IMRAM), Tohoku University, Aoba-Ku, Sendai, Miyagi, 980-8577, Japan. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2024 Feb 19; Vol. 14 (1), pp. 4106. Date of Electronic Publication: 2024 Feb 19.
Typ publikacji:
Journal Article
MeSH Terms:
Escherichia coli*
Machine Learning*
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Semi-supervised classifier guided by discriminator.
Autorzy:
Jamroziński S; Department of Arificial Intelligence, Wroclaw University of Science and Technology, wyb. Wyspiańskiego 27, 50-30, Wrocław, Poland. .
Markowska-Kaczmar U; Department of Arificial Intelligence, Wroclaw University of Science and Technology, wyb. Wyspiańskiego 27, 50-30, Wrocław, Poland. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2022 Aug 29; Vol. 12 (1), pp. 14665. Date of Electronic Publication: 2022 Aug 29.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Supervised Machine Learning*
Humans ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data.
Autorzy:
Ahmadi N; Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany. .
Nguyen QV; Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany.
Sedlmayr M; Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany.
Wolfien M; Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany.; Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Dresden, Germany.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2024 Jan 27; Vol. 14 (1), pp. 2287. Date of Electronic Publication: 2024 Jan 27.
Typ publikacji:
Journal Article
MeSH Terms:
Machine Learning*
Medical Informatics*
Humans ; Databases, Factual ; Electronic Health Records
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Augmented drug combination dataset to improve the performance of machine learning models predicting synergistic anticancer effects.
Autorzy:
Liu M; Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA.
Srivastava G; Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, 70803, USA.
Ramanujam J; Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA, 70803, USA.; Center for Computation and Technology, Louisiana State University, Baton Rouge, LA, 70803, USA.
Brylinski M; Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, 70803, USA. .; Center for Computation and Technology, Louisiana State University, Baton Rouge, LA, 70803, USA. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2024 Jan 18; Vol. 14 (1), pp. 1668. Date of Electronic Publication: 2024 Jan 18.
Typ publikacji:
Journal Article
MeSH Terms:
Computational Biology*/methods
Machine Learning*
Drug Synergism ; Drug Combinations ; Drug Therapy, Combination
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Leveraging machine learning to distinguish between bacterial and viral induced pharyngitis using hematological markers: a retrospective cohort study.
Autorzy:
Jin Z; School of Medical Technology, Hebei Medical University, Shijiazhuang, 050017, People's Republic of China.
Ma F; Department of Otorhinolaryngology, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, 050011, People's Republic of China.
Chen H; Medicine-Education Coordination and Medical Education Research Center, Hebei Medical University, Shijiazhuang, 050017, People's Republic of China.
Guo S; Department of Otorhinolaryngology, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, 050011, People's Republic of China. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Dec 21; Vol. 13 (1), pp. 22899. Date of Electronic Publication: 2023 Dec 21.
Typ publikacji:
Journal Article
MeSH Terms:
Machine Learning*
Virus Diseases*
Humans ; Retrospective Studies ; Bayes Theorem ; Algorithms ; Support Vector Machine ; Anti-Bacterial Agents/therapeutic use
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Interpretable unsupervised learning enables accurate clustering with high-throughput imaging flow cytometry.
Autorzy:
Zhang Z; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA.
Chen X; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA.
Tang R; NanoCellect Biomedical, Inc., San Diego, CA, 92121, USA.
Zhu Y; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA.
Guo H; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA.
Qu Y; Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0435, USA.
Xie P; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA.
Lian IY; Department of Biology, Lamar University, Beaumont, TX, 77710, USA.
Wang Y; Department of Bioengineering, Institute of Engineering in Medicine, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0435, USA.
Lo YH; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, 92093, USA. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Nov 23; Vol. 13 (1), pp. 20533. Date of Electronic Publication: 2023 Nov 23.
Typ publikacji:
Journal Article
MeSH Terms:
Unsupervised Machine Learning*
Algorithms*
Humans ; Flow Cytometry/methods ; Neural Networks, Computer ; Cluster Analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
On effectively predicting autism spectrum disorder therapy using an ensemble of classifiers.
Autorzy:
Twala B; Office of the Deputy Vice-Chancellor (Digital Transformation), Tshwane University of Technology, Private Bag x680, Pretoria, 001, South Africa. .
Molloy E; Waterford Institute of Technology, School of Science & Computing, Waterford, Ireland.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Nov 15; Vol. 13 (1), pp. 19957. Date of Electronic Publication: 2023 Nov 15.
Typ publikacji:
Journal Article
MeSH Terms:
Machine Learning*
Autism Spectrum Disorder*/diagnosis
Autism Spectrum Disorder*/therapy
Child ; Humans ; Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models.
Autorzy:
Jamil M; Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, 64200, Pakistan.
Rehman H; Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, 64200, Pakistan.
Saqlain Zaheer M; Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan.
Tariq A; Department of Wildlife, Fisheries and Aquaculture, Mississippi State University, 775 Stone Boulevard, Mississippi State, MS, 39762-9690, USA. .; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, 430079, China. .
Iqbal R; Department of Agronomy, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Bahawalpur, Pakistan. .
Hasnain MU; Institute of Plant Breeding and Biotechnology, MNS-University of Agriculture, Multan, Pakistan.
Majeed A; Institute of Agro-Industry & Environment, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Munir A; Institute of Agro-Industry & Environment, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Sabagh AE; Department of Agronomy, Faculty of Agriculture, Kafrelsheikh University, Kafr El-Shaikh, 33516, Egypt.; Department of Field Crops, Faculty of Agriculture, Siirt University, Siirt, Turkey.
Habib Ur Rahman M; Institute of Plant Breeding and Biotechnology, MNS-University of Agriculture, Multan, Pakistan.; Crop Science, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53115, Bonn, Germany.
Raza A; Crop Science, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53115, Bonn, Germany. .; Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Straße 84, 15374, Müncheberg, Germany. .
Ajmal Ali M; Department of Botany and Microbiology, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia.
Elshikh MS; Department of Botany and Microbiology, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Nov 14; Vol. 13 (1), pp. 19867. Date of Electronic Publication: 2023 Nov 14.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Triticum*/genetics
Machine Learning*
Neural Networks, Computer ; Logistic Models ; Agriculture
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU.
Autorzy:
Sikora A; Department of Clinical and Administrative Pharmacy, University of Georgia College of Pharmacy, 1120 15th Street, HM-118, Augusta, GA, 30912, USA.
Zhang T; Department of Statistics, University of Georgia Franklin College of Arts and Sciences, Athens, GA, USA.
Murphy DJ; Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, GA, USA.
Smith SE; Department of Clinical and Administrative Pharmacy, University of Georgia College of Pharmacy, 1120 15th Street, HM-118, Augusta, GA, 30912, USA.
Murray B; Department of Pharmacy, University of North Carolina Medical Center, Chapel Hill, NC, USA.
Kamaleswaran R; Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA.; Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Chen X; Department of Statistics, University of Georgia Franklin College of Arts and Sciences, Athens, GA, USA.
Buckley MS; LaJolla Pharmaceuticals, Waltham, USA.
Rowe S; Department of Pharmacy, Oregon Health and Science University, Portland, OR, USA.
Devlin JW; Northeastern University School of Pharmacy, Boston, MA, USA. .; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA. .
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Nov 10; Vol. 13 (1), pp. 19654. Date of Electronic Publication: 2023 Nov 10.
Typ publikacji:
Observational Study; Journal Article; Research Support, U.S. Gov't, P.H.S.
MeSH Terms:
Machine Learning*
Intensive Care Units*
Adult ; Humans ; Cohort Studies ; ROC Curve ; Retrospective Studies ; Logistic Models
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data.
Autorzy:
Ong SQ; Entomology Laboratory, Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia. .
Isawasan P; Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch, Tapah Campus, 35400, Tapah, Malaysia.
Ngesom AMM; Centre for Communicable Diseases Research, Institute for Public Health, National Institutes of Health, Ministry of Health, Shah Alam, Malaysia.
Shahar H; Entomology and Pest Unit, Federal Territory of Kuala Lumpur and Putrajaya Health Department, Jalan Cenderasari, 50590, Kuala Lumpur, Malaysia.
Lasim AM; Phytochemistry Unit, Herbal Medicine Research Centre, Institute for Medical Research, National Health Institute, Setia Alam, Malaysia.
Nair G; School of Electrical and Electronics Engineering, Universiti Sains Malaysia, Penang, Malaysia.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Nov 05; Vol. 13 (1), pp. 19129. Date of Electronic Publication: 2023 Nov 05.
Typ publikacji:
Journal Article
MeSH Terms:
Machine Learning*
Dengue*/epidemiology
Humans ; Algorithms ; Support Vector Machine ; ROC Curve
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Humor appreciation can be predicted with machine learning techniques.
Autorzy:
Rosenbusch H; Department of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands. .; Appinio GmbH, Hamburg, Germany. .
Visser T; Department of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2023 Nov 03; Vol. 13 (1), pp. 19035. Date of Electronic Publication: 2023 Nov 03.
Typ publikacji:
Journal Article
MeSH Terms:
Leisure Activities*
Machine Learning*
Humans ; Wit and Humor as Topic
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Feature engineering solution with structured query language analytic functions in detecting electricity frauds using machine learning.
Autorzy:
Oprea SV; Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Romana Square 6, 010374, Bucharest, Romania. .
Bâra A; Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Romana Square 6, 010374, Bucharest, Romania.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2022 Feb 28; Vol. 12 (1), pp. 3257. Date of Electronic Publication: 2022 Feb 28.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Algorithms*
Machine Learning*
Electricity ; Fraud ; Unsupervised Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Decision making on vestibular schwannoma treatment: predictions based on machine-learning analysis.
Autorzy:
Profant O; Department of Auditory Neuroscience, Institute of Experimental Medicine, Czech Academy of Sciences, Prague, Czech Republic.
Bureš Z; Department of Cognitive Systems and Neurosciences, Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University, Jugoslávských partyzánů 1580/3, 160 00, Prague 6, Czech Republic. .
Balogová Z; Department of Otorhinolaryngology, 3rd Faculty of Medicine, University Hospital Královské Vinohrady, Charles University in Prague, Prague, Czech Republic.
Betka J; Department of Otorhinolaryngology and Head and Neck Surgery, 1st Faculty of Medicine, University Hospital Motol, Charles University in Prague, Prague, Czech Republic.
Fík Z; Department of Otorhinolaryngology and Head and Neck Surgery, 1st Faculty of Medicine, University Hospital Motol, Charles University in Prague, Prague, Czech Republic.
Chovanec M; Department of Otorhinolaryngology, 3rd Faculty of Medicine, University Hospital Královské Vinohrady, Charles University in Prague, Prague, Czech Republic.
Voráček J; Faculty of Management, Prague University of Economics and Business, Jindrichuv Hradec, Czech Republic.
Pokaż więcej
Źródło:
Scientific reports [Sci Rep] 2021 Sep 15; Vol. 11 (1), pp. 18376. Date of Electronic Publication: 2021 Sep 15.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Clinical Decision-Making*
Disease Management*
Machine Learning*
Neuroma, Acoustic/*diagnosis
Neuroma, Acoustic/*therapy
Adult ; Aged ; Decision Trees ; Female ; Hearing ; Hearing Tests ; Humans ; Male ; Middle Aged ; ROC Curve ; Reproducibility of Results ; Supervised Machine Learning ; Symptom Assessment
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Wyświetlanie 1-20 z 7091

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies