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Academic Journal

Construction of prediction models for novel subtypes in patients with arteriosclerosis obliterans undergoing endovascular therapy: an unsupervised machine learning study.

  • Authors : Li X; Department of Vascular Surgery Ward, The First Affiliated Hospital of Guangxi Medical University, No.6 of Shuangyong Road, Nanning, Guangxi, 530021, P. R. China.; Zhang L

Subjects: Endovascular Procedures*/Endovascular Procedures*/Endovascular Procedures*/methods ; Unsupervised Machine Learning* ; Arteriosclerosis Obliterans*/Arteriosclerosis Obliterans*/Arteriosclerosis Obliterans*/surgery

  • Source: Journal of cardiothoracic surgery [J Cardiothorac Surg] 2024 Jun 25; Vol. 19 (1), pp. 370. Date of Electronic Publication: 2024 Jun 25.Publisher: BioMed Central Country of Publication: England NLM ID: 101265113 Publication Model: Electronic Cited Medium: Internet ISSN: 1749-8090

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Academic Journal

Leveraging permutation testing to assess confidence in positive-unlabeled learning applied to high-dimensional biological datasets.

  • Authors : Xu S; Quantitative Biomedical Sciences Program, Dartmouth College, Hanover, NH, USA.; Ackerman ME

Subjects: Machine Learning*; Supervised Machine Learning ; Humans

  • Source: BMC bioinformatics [BMC Bioinformatics] 2024 Jun 19; Vol. 25 (1), pp. 218. Date of Electronic Publication: 2024 Jun 19.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

Evaluation metrics and statistical tests for machine learning.

  • Authors : Rainio O; Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland. .; Teuho J

Subjects: Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Machine Learning*; Neural Networks, Computer

  • Source: Scientific reports [Sci Rep] 2024 Mar 13; Vol. 14 (1), pp. 6086. Date of Electronic Publication: 2024 Mar 13.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification.

  • Authors : Tutsoy O; Adana Alparslan Turkes Science and Technology University, Adana, Turkey. .; Koç GG

Subjects: Algorithms* ; Machine Learning*; Supervised Machine Learning

  • Source: BMC bioinformatics [BMC Bioinformatics] 2024 Mar 08; Vol. 25 (1), pp. 103. Date of Electronic Publication: 2024 Mar 08.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

Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm.

Subjects: Algorithms* ; Supervised Machine Learning*; Humans

  • Source: 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.Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947

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Academic Journal

MLpronto: A tool for democratizing machine learning.

  • Authors : Tjaden J; Computer Science Department, Colby College, Waterville, ME, United States of America.; Tjaden B

Subjects: Algorithms* ; Machine Learning*; Supervised Machine Learning

  • Source: PloS one [PLoS One] 2023 Nov 30; Vol. 18 (11), pp. e0294924. Date of Electronic Publication: 2023 Nov 30 (Print Publication: 2023).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

Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data.

  • Authors : 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.

Subjects: Machine Learning* ; Neural Networks, Computer*; Supervised Machine Learning

  • Source: PLoS genetics [PLoS Genet] 2023 Nov 07; Vol. 19 (11), pp. e1011032. Date of Electronic Publication: 2023 Nov 07 (Print Publication: 2023).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition.

  • Authors : Takenaka K; Graduate School of Engineering, University of Fukui, Fukui 910-8507, Japan.; Kondo K

Subjects: Unsupervised Machine Learning* ; Labor, Obstetric*; Female

  • Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Oct 13; Vol. 23 (20). Date of Electronic Publication: 2023 Oct 13.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Academic Journal

Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study.

  • Authors : 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.

Subjects: Machine Learning* ; Dementia*/Dementia*/Dementia*/diagnosis ; Dementia*/Dementia*/Dementia*/epidemiology

  • Source: 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.Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947

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Academic Journal

Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach.

  • Authors : Mousavi E; Department of Bioelectrics and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.; Keshteli AH

Subjects: Machine Learning* ; Gastrointestinal Diseases*/Gastrointestinal Diseases*/Gastrointestinal Diseases*/diagnosis; Humans

  • Source: 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.Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947

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