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Academic Journal

Random forests for the analysis of matched case-control studies.

  • Authors : Schauberger G; Chair of Epidemiology, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany. .; Klug SJ

Subjects: Machine Learning* ; Random Forest*; Female

  • Source: BMC bioinformatics [BMC Bioinformatics] 2024 Aug 01; Vol. 25 (1), pp. 253. Date of Electronic Publication: 2024 Aug 01.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Academic Journal

Prediction of Repeated Self-Harm in Six Months: Comparison of Traditional Psychometrics With Random Forest Algorithm.

  • Authors : Chen SC; Department of Psychology, National Taiwan University, Taipei, Taiwan.; Suicide Prevention Center, MacKay Memorial Hospital, Taipei, Taiwan.

Subjects: Random Forest* ; Self-Injurious Behavior*/Self-Injurious Behavior*/Self-Injurious Behavior*/diagnosis ; Self-Injurious Behavior*/Self-Injurious Behavior*/Self-Injurious Behavior*/prevention & control

  • Source: Omega [Omega (Westport)] 2024 Mar; Vol. 88 (4), pp. 1403-1429. Date of Electronic Publication: 2021 Dec 17.Publisher: Sage Publications Country of Publication: United States NLM ID: 1272106 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

LAVRF: Sign language recognition via Lightweight Attentive VGG16 with Random Forest.

  • Authors : Ewe ELR; Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia.; Lee CP

Subjects: Random Forest* ; Sign Language*; Humans

  • Source: PloS one [PLoS One] 2024 Apr 04; Vol. 19 (4), pp. e0298699. Date of Electronic Publication: 2024 Apr 04 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Random forest model in tax risk identification of real estate enterprise income tax.

  • Authors : Xu C; School of Business Administration, Guangxi Vocational & Technical Institute of Industry, Nanning, Guangxi, China.; Kong Y

Subjects: Income Tax* ; Random Forest*; Income

  • Source: PloS one [PLoS One] 2024 Mar 26; Vol. 19 (3), pp. e0300928. Date of Electronic Publication: 2024 Mar 26 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Improving dengue fever predictions in Taiwan based on feature selection and random forests.

  • Authors : 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.

Subjects: Random Forest* ; Dengue*/Dengue*/Dengue*/epidemiology; Humans

  • Source: BMC infectious diseases [BMC Infect Dis] 2024 Mar 20; Vol. 24 (Suppl 2), pp. 334. Date of Electronic Publication: 2024 Mar 20.Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334

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Academic Journal

Analysis of China's carbon market price fluctuation and international carbon credit financing mechanism using random forest model.

  • Authors : Song C; School of Financial Technology, Suzhou Industrial Park Institute of Services Outsourcing, Jiangsu, Suzhou City, China.

Subjects: Random Forest* ; Carbon*/Carbon*/Carbon*/analysis; Forecasting

  • Source: PloS one [PLoS One] 2024 Mar 07; Vol. 19 (3), pp. e0294269. Date of Electronic Publication: 2024 Mar 07 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

A novel microbe-drug association prediction model based on graph attention networks and bilayer random forest.

  • Authors : Kuang H; Big Data Innovation and Entrepreneurship Education Center of Hunan Province, Changsha University, Changsha, 410022, China.; Zhang Z

Subjects: Random Forest* ; Anti-Bacterial Agents*; Probability

  • Source: BMC bioinformatics [BMC Bioinformatics] 2024 Feb 20; Vol. 25 (1), pp. 78. Date of Electronic Publication: 2024 Feb 20.Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105

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Academic Journal

Classification of Obesity among South African Female Adolescents: Comparative Analysis of Logistic Regression and Random Forest Algorithms.

  • Authors : Sewpaul R; Public Health, Societies and Belonging, Human Sciences Research Council, Merchant House, 2 Dock Rail Road, Cape Town 8001, South Africa.; Awe OO

Subjects: Random Forest* ; Obesity*/Obesity*/Obesity*/epidemiology; Humans

  • Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2023 Dec 19; Vol. 21 (1). Date of Electronic Publication: 2023 Dec 19.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601

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Academic Journal

Mental health and natural land cover: a global analysis based on random forest with geographical consideration.

  • Authors : Li C; Urban Institute, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan.; Managi S

Subjects: Mental Health* ; Random Forest*; Humans

  • Source: Scientific reports [Sci Rep] 2024 Feb 05; Vol. 14 (1), pp. 2894. Date of Electronic Publication: 2024 Feb 05.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Predication of the post mining land use based on random forest and DBSCAN.

  • Authors : Bo Q; Kunming University of Science and Technology Oxbridge College, Yunnan, China.; Lv P

Subjects: Random Forest* ; Mining*; Soil

  • Source: PloS one [PLoS One] 2024 Jan 02; Vol. 19 (1), pp. e0287079. Date of Electronic Publication: 2024 Jan 02 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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