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Wyświetlanie 1-20 z 450002
Tytuł:
Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification.
Autorzy:
Tutsoy O; Adana Alparslan Turkes Science and Technology University, Adana, Turkey. .
Koç GG; Adana Alparslan Turkes Science and Technology University, Adana, Turkey.
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2024 Mar 08; Vol. 25 (1), pp. 103. Date of Electronic Publication: 2024 Mar 08.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Machine Learning*
Supervised Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
MLpronto: A tool for democratizing machine learning.
Autorzy:
Tjaden J; Computer Science Department, Colby College, Waterville, ME, United States of America.
Tjaden B; Department of Computer Science, Wellesley College, Wellesley, MA, United States of America.
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Źródło:
PloS one [PLoS One] 2023 Nov 30; Vol. 18 (11), pp. e0294924. Date of Electronic Publication: 2023 Nov 30 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Machine Learning*
Supervised Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data.
Autorzy:
Mo Z; Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America.; School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America.
Siepel A; Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America.; School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America.
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Źródło:
PLoS genetics [PLoS Genet] 2023 Nov 07; Vol. 19 (11), pp. e1011032. Date of Electronic Publication: 2023 Nov 07 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Machine Learning*
Neural Networks, Computer*
Supervised Machine Learning ; Computer Simulation ; Genetics, Population
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm.
Autorzy:
Popoola AA; Georgia Institute of Technology, Atlanta, GA, USA.
Frediani JK; Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Hartman TJ; Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Paynabar K; Georgia Institute of Technology, Atlanta, GA, USA. .
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2023 Sep 09; Vol. 23 (1), pp. 178. Date of Electronic Publication: 2023 Sep 09.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:
Algorithms*
Supervised Machine Learning*
Humans ; Random Forest ; Machine Learning ; Self Report
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study.
Autorzy:
Twait EL; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands.; Department of General Practice, Amsterdam UMC, location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.; Amsterdam Public Health, Aging & Later life and Personalized Medicine, Amsterdam, the Netherlands.; Amsterdam Neuroscience, Neurodegeneration and Mood, Anxiety, Psychosis, Stress, and Sleep, Amsterdam, the Netherlands.
Andaur Navarro CL; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands.
Gudnason V; Faculty of Medicine, University of Iceland, Reykjavik, Iceland.; The Icelandic Heart Association, Kopavogur, Iceland.
Hu YH; Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA.
Launer LJ; Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA.
Geerlings MI; Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands. .; Amsterdam Public Health, Aging & Later life and Personalized Medicine, Amsterdam, the Netherlands. .; Amsterdam Neuroscience, Neurodegeneration and Mood, Anxiety, Psychosis, Stress, and Sleep, Amsterdam, the Netherlands. .; Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD, USA. .; Department of General Practice, Amsterdam UMC, location University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands. .
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2023 Aug 28; Vol. 23 (1), pp. 168. Date of Electronic Publication: 2023 Aug 28.
Typ publikacji:
Journal Article; Research Support, N.I.H., Intramural; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
MeSH Terms:
Machine Learning*
Dementia*/diagnosis
Dementia*/epidemiology
Humans ; Female ; Aged ; Male ; Proof of Concept Study ; Supervised Machine Learning ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach.
Autorzy:
Mousavi E; Department of Bioelectrics and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Keshteli AH; Department of Bioinformatics, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Hezar Jerib Street, Po Box 8174673461, Isfahan, Iran.
Sehhati M; Department of Bioinformatics, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Hezar Jerib Street, Po Box 8174673461, Isfahan, Iran. .
Vaez A; Department of Bioinformatics, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Hezar Jerib Street, Po Box 8174673461, Isfahan, Iran.
Adibi P; Integrative Functional Gastroenterology and Hepatology Research Center, Department of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2023 Aug 26; Vol. 23 (1), pp. 167. Date of Electronic Publication: 2023 Aug 26.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Machine Learning*
Gastrointestinal Diseases*/diagnosis
Humans ; Cross-Sectional Studies ; Syndrome ; Unsupervised Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition.
Autorzy:
Takenaka K; Graduate School of Engineering, University of Fukui, Fukui 910-8507, Japan.
Kondo K; Graduate School of Engineering, University of Fukui, Fukui 910-8507, Japan.
Hasegawa T; Graduate School of Engineering, University of Fukui, Fukui 910-8507, Japan.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Oct 13; Vol. 23 (20). Date of Electronic Publication: 2023 Oct 13.
Typ publikacji:
Journal Article
MeSH Terms:
Unsupervised Machine Learning*
Labor, Obstetric*
Female ; Pregnancy ; Humans ; Human Activities ; Machine Learning ; Recognition, Psychology
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
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. .
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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:
Supervised learning and model analysis with compositional data.
Autorzy:
Huang S; Department of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.
Ailer E; Helmholtz Munich, Munich, Germany.
Kilbertus N; Helmholtz Munich, Munich, Germany.; Technical University of Munich, Munich, Germany.
Pfister N; Department of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2023 Jun 30; Vol. 19 (6), pp. e1011240. Date of Electronic Publication: 2023 Jun 30 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Machine Learning*
Phylogeny ; Linear Models ; Supervised Machine Learning
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. .
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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:
Predicting functional effects of ion channel variants using new phenotypic machine learning methods.
Autorzy:
Boßelmann CM; Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany.; Methods in Medical Informatics, Department of Computer Science, University of Tuebingen, Tuebingen, Germany.
Hedrich UBS; Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany.
Lerche H; Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany.
Pfeifer N; Methods in Medical Informatics, Department of Computer Science, University of Tuebingen, Tuebingen, Germany.; Institute for Bioinformatics and Medical Informatics, University of Tuebingen, Tuebingen, Germany.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2023 Mar 06; Vol. 19 (3), pp. e1010959. Date of Electronic Publication: 2023 Mar 06 (Print Publication: 2023).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Machine Learning*
Ion Channels*/genetics
Humans ; Phenotype ; Genetic Association Studies ; 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. .
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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:
A Novel System to Increase Yield of Manufacturing Test of an RF Transceiver through Application of Machine Learning.
Autorzy:
Siddiqui A; Airbus Defence and Space, UK.
Otero P; Telecommunications Engineering School, University of Malaga, 29010 Málaga, Spain.; Institute of Oceanic Engineering Research, University of Malaga, 29010 Málaga, Spain.
Zubair M; Faculty of Engineering, Iqra University, Karachi 75850, Pakistan.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 08; Vol. 23 (2). Date of Electronic Publication: 2023 Jan 08.
Typ publikacji:
Journal Article
MeSH Terms:
Machine Learning*
Commerce*
Automation ; Supervised Machine Learning ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Application of Machine Learning Methods for an Analysis of E-Nose Multidimensional Signals in Wastewater Treatment.
Autorzy:
Piłat-Rożek M; Faculty of Technology Fundamentals, Lublin University of Technology, 20-618 Lublin, Poland.
Łazuka E; Faculty of Technology Fundamentals, Lublin University of Technology, 20-618 Lublin, Poland.
Majerek D; Faculty of Technology Fundamentals, Lublin University of Technology, 20-618 Lublin, Poland.
Szeląg B; Faculty of Environmental, Geomatic and Energy Engineering, Kielce University of Technology, 25-314 Kielce, Poland.
Duda-Saternus S; Institute of Rural Health in Lublin, 20-090 Lublin, Poland.
Łagód G; Faculty of Environmental Engineering, Lublin University of Technology, 20-618 Lublin, Poland.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 02; Vol. 23 (1). Date of Electronic Publication: 2023 Jan 02.
Typ publikacji:
Journal Article
MeSH Terms:
Electronic Nose*
Machine Learning*
Supervised Machine Learning ; Random Forest ; Software
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Identification of potential cell death-related biomarkers for diagnosis and treatment of osteoporosis.
Autorzy:
Li M; Department of Joint and Sports Medicine, Weifang Sunshine Union Hospital, Weifang, Shandong Province, 261000, China.
Wang X; Department of endocrinology, Weifang Sunshine Union Hospital, Weifang, Shandong Province, 261000, China.
Guo M; Department of Joint and Sports Medicine, Weifang Sunshine Union Hospital, Weifang, Shandong Province, 261000, China.
Zhang W; Department of Joint and Sports Medicine, Weifang Sunshine Union Hospital, Weifang, Shandong Province, 261000, China.
Li T; Department of Joint and Sports Medicine, Weifang Sunshine Union Hospital, Weifang, Shandong Province, 261000, China.
Zheng J; Department of spine 1, Weifang Sunshine Union Hospital, No. 9000, Yingqian Street, High-tech Zone, Weifang, Shandong Province, 261000, China. .
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Źródło:
BMC musculoskeletal disorders [BMC Musculoskelet Disord] 2024 Mar 25; Vol. 25 (1), pp. 235. Date of Electronic Publication: 2024 Mar 25.
Typ publikacji:
Journal Article
MeSH Terms:
Apoptosis*
Machine Learning*
Humans ; Cell Death/genetics ; Biomarkers ; Databases, Factual
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset.
Autorzy:
Samuel O; School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, 4001, Durban, South Africa. .
Zewotir T; School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, 4001, Durban, South Africa.
North D; School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, 4001, Durban, South Africa.
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 Mar 25; Vol. 24 (1), pp. 86. Date of Electronic Publication: 2024 Mar 25.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Machine Learning*
Child ; Humans ; Female ; Pregnancy ; Bayes Theorem ; Health Surveys ; Demography
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Development and validation of 'Patient Optimizer' (POP) algorithms for predicting surgical risk with machine learning.
Autorzy:
Kowadlo G; Atidia Health, Melbourne, Australia. .
Mittelberg Y; Atidia Health, Melbourne, Australia.
Ghomlaghi M; Atidia Health, Melbourne, Australia.
Stiglitz DK; Atidia Health, Melbourne, Australia.; Department of Anaesthesiology and Perioperative Medicine, Alfred Health, Melbourne, Australia.
Kishore K; Data Analytics Research and Evaluation Centre, Austin Health, Melbourne, Australia.
Guha R; Department of Anaesthesia, Austin Health, Heidelberg, Australia.
Nazareth J; Department of Anaesthesia, Austin Health, Heidelberg, Australia.
Weinberg L; Department of Anaesthesia, Austin Health, Heidelberg, Australia.; Department of Critical Care, The University of Melbourne, Austin Health, Heidelberg, Australia.
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Źródło:
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 Mar 11; Vol. 24 (1), pp. 70. Date of Electronic Publication: 2024 Mar 11.
Typ publikacji:
Journal Article
MeSH Terms:
Machine Learning*
Renal Insufficiency*
Adult ; Humans ; Prospective Studies ; Algorithms ; Hospitals, Teaching ; Postoperative Complications/epidemiology ; Postoperative Complications/prevention & control ; Retrospective Studies
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.
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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:
Rewiring care delivery through Digital Therapeutics (DTx): a machine learning-enhanced assessment and development (M-LEAD) framework.
Autorzy:
Carrera A; School of Management, Politecnico di Milano, Milan, Italy. .
Manetti S; School of Management, Politecnico di Milano, Milan, Italy.
Lettieri E; School of Management, Politecnico di Milano, Milan, Italy.
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Źródło:
BMC health services research [BMC Health Serv Res] 2024 Feb 23; Vol. 24 (1), pp. 237. Date of Electronic Publication: 2024 Feb 23.
Typ publikacji:
Systematic Review; Journal Article
MeSH Terms:
Delivery of Health Care*
Machine Learning*
Humans ; Health Personnel ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Machine Learning Empowering Drug Discovery: Applications, Opportunities and Challenges.
Autorzy:
Qi X; School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215011, China.
Zhao Y; School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215011, China.
Qi Z; School of Software, Shandong University, Jinan 250101, China.
Hou S; School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215011, China.
Chen J; School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215011, China.
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Źródło:
Molecules (Basel, Switzerland) [Molecules] 2024 Feb 18; Vol. 29 (4). Date of Electronic Publication: 2024 Feb 18.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Machine Learning*
Humans ; Drug Discovery ; Algorithms ; Power, Psychological
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Wyświetlanie 1-20 z 450002

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