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Wyświetlanie 1-20 z 537216
Tytuł:
A novel microbe-drug association prediction model based on graph attention networks and bilayer random forest.
Autorzy:
Kuang H; Big Data Innovation and Entrepreneurship Education Center of Hunan Province, Changsha University, Changsha, 410022, China.
Zhang Z; Big Data Innovation and Entrepreneurship Education Center of Hunan Province, Changsha University, Changsha, 410022, China. .
Zeng B; Big Data Innovation and Entrepreneurship Education Center of Hunan Province, Changsha University, Changsha, 410022, China. .
Liu X; Big Data Innovation and Entrepreneurship Education Center of Hunan Province, Changsha University, Changsha, 410022, China. .
Zuo H; Big Data Innovation and Entrepreneurship Education Center of Hunan Province, Changsha University, Changsha, 410022, China.
Xu X; Big Data Innovation and Entrepreneurship Education Center of Hunan Province, Changsha University, Changsha, 410022, China.
Wang L; Big Data Innovation and Entrepreneurship Education Center of Hunan Province, Changsha University, Changsha, 410022, China. .
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2024 Feb 20; Vol. 25 (1), pp. 78. Date of Electronic Publication: 2024 Feb 20.
Typ publikacji:
Journal Article
MeSH Terms:
Random Forest*
Anti-Bacterial Agents*
Probability ; Software
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
LAVRF: Sign language recognition via Lightweight Attentive VGG16 with Random Forest.
Autorzy:
Ewe ELR; Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia.
Lee CP; Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia.
Lim KM; Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia.
Kwek LC; Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia.
Alqahtani A; Department of Computer Science, King Khalid University, Abha, Saudi Arabia.; Center for Artificial Intelligence (CAI), King Khalid University, Abha, Saudi Arabia.
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Źródło:
PloS one [PLoS One] 2024 Apr 04; Vol. 19 (4), pp. e0298699. Date of Electronic Publication: 2024 Apr 04 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Random Forest*
Sign Language*
Humans ; Pattern Recognition, Automated/methods ; Gestures ; Upper Extremity
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Random forest model in tax risk identification of real estate enterprise income tax.
Autorzy:
Xu C; School of Business Administration, Guangxi Vocational & Technical Institute of Industry, Nanning, Guangxi, China.
Kong Y; Finance Department of Qufu Normal University, Qufu, Shandong, China.
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Źródło:
PloS one [PLoS One] 2024 Mar 26; Vol. 19 (3), pp. e0300928. Date of Electronic Publication: 2024 Mar 26 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Income Tax*
Random Forest*
Income ; China
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Improving dengue fever predictions in Taiwan based on feature selection and random forests.
Autorzy:
Kuo CY; Smart Healthcare Interdisciplinary College, National Taipei University of Nursing and Health Sciences, No.365, Mingde Road, Beitou District, Taipei City, 112303, Taiwan.; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, No.301, Yuantong Road, Zhonghe District, New Taipei City, 23564, Taiwan.
Yang WW; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, No.301, Yuantong Road, Zhonghe District, New Taipei City, 23564, Taiwan.
Su EC; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, No.301, Yuantong Road, Zhonghe District, New Taipei City, 23564, Taiwan. .; Clinical Big Data Research Center, Taipei Medical University Hospital, No.252 Wuxing Street, Xinyi District, Taipei City, 110, Taiwan. .
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Źródło:
BMC infectious diseases [BMC Infect Dis] 2024 Mar 20; Vol. 24 (Suppl 2), pp. 334. Date of Electronic Publication: 2024 Mar 20.
Typ publikacji:
Journal Article
MeSH Terms:
Random Forest*
Dengue*/epidemiology
Humans ; Taiwan/epidemiology ; Temperature ; Disease Outbreaks
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Analysis of China's carbon market price fluctuation and international carbon credit financing mechanism using random forest model.
Autorzy:
Song C; School of Financial Technology, Suzhou Industrial Park Institute of Services Outsourcing, Jiangsu, Suzhou City, China.
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Źródło:
PloS one [PLoS One] 2024 Mar 07; Vol. 19 (3), pp. e0294269. Date of Electronic Publication: 2024 Mar 07 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Random Forest*
Carbon*/analysis
Forecasting ; Time Factors ; China
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Studies on the sequential pathology of Kyasanur Forest Disease (KFD) in Mouse brain: KFD virus induces apoptosis of neurons in cerebrum and hippocampus.
Autorzy:
Srikanth UK; Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India.; Veterinary College, KVAFSU, Bangalore, India.
Marinaik CB; Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India.
Rao S; Veterinary College, KVAFSU, Bangalore, India.
Gomes AR; Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India.
Rathnamma D; Veterinary College, KVAFSU, Bangalore, India.
Isloor S; Veterinary College, KVAFSU, Bangalore, India.
T Lakshmikanth B; Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India.; Veterinary College, KVAFSU, Bangalore, India.
K Siddaramegowda C; Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India.; Veterinary College, KVAFSU, Bangalore, India.
Rizwan A; Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India.
Byregowda SM; Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India.
Venkatesha MD; Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India.
Munivenkatarayappa A; Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India.
Hegde R; Institute of Animal Health and Veterinary Biologicals, KVAFSU, Bangalore, India.
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Źródło:
PloS one [PLoS One] 2024 Mar 01; Vol. 19 (3), pp. e0297143. Date of Electronic Publication: 2024 Mar 01 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Encephalitis Viruses, Tick-Borne*/genetics
Kyasanur Forest Disease*
Humans ; Animals ; Mice ; Brain/pathology ; Cerebral Cortex/pathology ; Hippocampus/pathology ; Apoptosis ; Motor Neurons/pathology ; Paralysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Mental health and natural land cover: a global analysis based on random forest with geographical consideration.
Autorzy:
Li C; Urban Institute, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan.
Managi S; Urban Institute, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan. .
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Źródło:
Scientific reports [Sci Rep] 2024 Feb 05; Vol. 14 (1), pp. 2894. Date of Electronic Publication: 2024 Feb 05.
Typ publikacji:
Journal Article
MeSH Terms:
Mental Health*
Random Forest*
Humans ; Conservation of Natural Resources ; Wetlands
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A random forest algorithm-based prediction model for moderate to severe acute postoperative pain after orthopedic surgery under general anesthesia.
Autorzy:
Shi G; School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China.; Institute of Medical Data Science, Shanxi Medical University, Taiyuan, China.; Shanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China.; Department of Anesthesiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, China.
Liu G; Institute of Medical Data Science, Shanxi Medical University, Taiyuan, China.; Shanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China.; School of Management, Shanxi Medical University, Taiyuan, China.
Gao Q; School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China.; Institute of Medical Data Science, Shanxi Medical University, Taiyuan, China.; Shanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China.
Zhang S; Shanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China.; Department of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, China.; Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China.
Wang Q; School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China.; Institute of Medical Data Science, Shanxi Medical University, Taiyuan, China.; Shanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China.
Wu L; School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China.; Institute of Medical Data Science, Shanxi Medical University, Taiyuan, China.; Shanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China.
He P; Institute of Medical Data Science, Shanxi Medical University, Taiyuan, China. .; Shanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China. .; Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China. .
Yu Q; Institute of Medical Data Science, Shanxi Medical University, Taiyuan, China. .; Shanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China. .; Department of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, China. .; Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China. .
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Źródło:
BMC anesthesiology [BMC Anesthesiol] 2023 Nov 06; Vol. 23 (1), pp. 361. Date of Electronic Publication: 2023 Nov 06.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Random Forest*
Orthopedic Procedures*
Humans ; Pain, Postoperative ; Risk Factors
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Predication of the post mining land use based on random forest and DBSCAN.
Autorzy:
Bo Q; Kunming University of Science and Technology Oxbridge College, Yunnan, China.
Lv P; Kunming University of Science and Technology Oxbridge College, Yunnan, China.; The 4th Geological Brigade of Henan Nonferrous Metals Geology and Mineral Bureau, Henan, China.
Wang Z; Kunming University of Science and Technology Oxbridge College, Yunnan, China.; Research Academy of science and culture, China university of Geoscience, Beijing, China.
Wang Q; Kunming University of Science and Technology Oxbridge College, Yunnan, China.
Li Z; Southwest Survey and Planning Institute of National Forestry and Grassland Administration, Yunnan, China.
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Źródło:
PloS one [PLoS One] 2024 Jan 02; Vol. 19 (1), pp. e0287079. Date of Electronic Publication: 2024 Jan 02 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Random Forest*
Mining*
Soil ; Phosphates ; Sand ; China ; Nitrogen/analysis
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Predicting health insurance uptake in Kenya using Random Forest: An analysis of socio-economic and demographic factors.
Autorzy:
Yego NKK; African Center of Excellence in Data Science, University of Rwanda, Kigali, Rwanda.; Department of Mathematics and Computer Science, Moi University, Kenya.
Nkurunziza J; African Center of Excellence in Data Science, University of Rwanda, Kigali, Rwanda.; School of Economics, University of Rwanda, Kigali, Rwanda.
Kasozi J; African Center of Excellence in Data Science, University of Rwanda, Kigali, Rwanda.; Department of Mathematics, Makerere University, Kampala, Uganda.
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Źródło:
PloS one [PLoS One] 2023 Nov 30; Vol. 18 (11), pp. e0294166. Date of Electronic Publication: 2023 Nov 30 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Random Forest*
Insurance, Health*
Humans ; Kenya ; Poverty ; Marital Status ; Socioeconomic Factors
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Speech emotion recognition using machine learning techniques: Feature extraction and comparison of convolutional neural network and random forest.
Autorzy:
Rezapour Mashhadi MM; Independent Researcher, Mashhad, Iran.
Osei-Bonsu K; Ghana Data Center, Accra, Ghana.
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Źródło:
PloS one [PLoS One] 2023 Nov 21; Vol. 18 (11), pp. e0291500. Date of Electronic Publication: 2023 Nov 21 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Speech*
Random Forest*
Neural Networks, Computer ; Machine Learning ; Emotions
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Exploring the variable importance in random forests under correlations: a general concept applied to donor organ quality in post-transplant survival.
Autorzy:
Wies C; Department of Mathematics and Natural Sciences, Darmstadt University of Applied Sciences, Schöfferstraße 3, Darmstadt, 64295, Germany.; Digital Biomarkers for Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 223, Heidelberg, 69120, Germany.; Medical Facility, University Heidelberg, Im Neuenheimer Feld 672, Heidelberg, 69120, Germany.
Miltenberger R; Department of Mathematics and Natural Sciences, Darmstadt University of Applied Sciences, Schöfferstraße 3, Darmstadt, 64295, Germany.
Grieser G; Department of Computer Science, Darmstadt University of Applied Sciences, Schöfferstraße 3, Darmstadt, 64295, Germany.
Jahn-Eimermacher A; Department of Mathematics and Natural Sciences, Darmstadt University of Applied Sciences, Schöfferstraße 3, Darmstadt, 64295, Germany. .
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Źródło:
BMC medical research methodology [BMC Med Res Methodol] 2023 Sep 19; Vol. 23 (1), pp. 209. Date of Electronic Publication: 2023 Sep 19.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Random Forest*
Kidney Transplantation*
Humans ; Algorithms ; Computer Simulation ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Using random forest machine learning on data from a large, representative cohort of the general population improves clinical spirometry references.
Autorzy:
Kristensen K; Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Olesen PH; Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Roerbaek AK; Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Nielsen L; Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Hansen HK; Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Cichosz SL; Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Jensen MH; Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.; Steno Diabetes Center North Denmark, Aalborg, Denmark.
Hejlesen O; Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
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Źródło:
The clinical respiratory journal [Clin Respir J] 2023 Aug; Vol. 17 (8), pp. 819-828. Date of Electronic Publication: 2023 Jul 13.
Typ publikacji:
Letter
MeSH Terms:
Random Forest*
Pulmonary Disease, Chronic Obstructive*/diagnosis
Pulmonary Disease, Chronic Obstructive*/epidemiology
Humans ; Forced Expiratory Volume ; Nutrition Surveys ; Vital Capacity ; Spirometry/methods ; Lung
Opinia redakcyjna
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A hybrid CNN-Random Forest algorithm for bacterial spore segmentation and classification in TEM images.
Autorzy:
Qamar S; Department of Physics, Umeå University, 901 87, Umeå, Sweden.; Integrated Science Lab, Department of Physics, Umeå University, Umeå, Sweden.
Öberg R; Department of Physics, Umeå University, 901 87, Umeå, Sweden.
Malyshev D; Department of Physics, Umeå University, 901 87, Umeå, Sweden.
Andersson M; Department of Physics, Umeå University, 901 87, Umeå, Sweden. .; Integrated Science Lab, Department of Physics, Umeå University, Umeå, Sweden. .; Umeå Centre for Microbial Research (UCMR), Umeå, Sweden. .
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Źródło:
Scientific reports [Sci Rep] 2023 Oct 31; Vol. 13 (1), pp. 18758. Date of Electronic Publication: 2023 Oct 31.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Spores, Bacterial*
Random Forest*
Humans ; Neural Networks, Computer ; Support Vector Machine
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
EFFNet: A skin cancer classification model based on feature fusion and random forests.
Autorzy:
Ma X; School of Computer Science and Technology, Nanyang Normal University, Nanyang, Henan, China.
Shan J; School of Life Sciences and Agricultural Engineering, Nanyang Normal University, Nanyang, Henan, China.
Ning F; School of Life Sciences and Agricultural Engineering, Nanyang Normal University, Nanyang, Henan, China.
Li W; School of Computer Science and Technology, Nanyang Normal University, Nanyang, Henan, China.
Li H; School of Computer Science and Technology, Nanyang Normal University, Nanyang, Henan, China.
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Źródło:
PloS one [PLoS One] 2023 Oct 23; Vol. 18 (10), pp. e0293266. Date of Electronic Publication: 2023 Oct 23 (Print Publication: 2023).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Random Forest*
Skin Neoplasms*
Humans ; Skin ; Diagnosis, Computer-Assisted ; Image Enhancement
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Optimization of sports effect evaluation technology from random forest algorithm and elastic network algorithm.
Autorzy:
Wang C; Department of Primary Education, Jiaozuo Normal College, Jiaozuo, Henan, China.
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Źródło:
PloS one [PLoS One] 2023 Oct 20; Vol. 18 (10), pp. e0292557. Date of Electronic Publication: 2023 Oct 20 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Random Forest*
Sports*
Algorithms ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Wyświetlanie 1-20 z 537216

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