Common Critiques and Recommendations for Studies in Neurology Using Machine Learning Methods.
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| Title: | Common Critiques and Recommendations for Studies in Neurology Using Machine Learning Methods. |
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| Authors: | Speiser JL; From the Department of Biostatistics and Data Science (J.L.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Neurology and Biomedical Informatics (W.T.K.), University of Pittsburgh, PA; Cardio-CARE (A.Z.), Medizincampus Davos, Switzerland; Department of Cardiology and Population Health Innovation (A.Z.), University Medical Center Hamburg-Eppendorf, Germany; and Department of Mathematics, Statistics and Computer Science (A.Z.), University of KwaZulu-Natal, Berea, Durban, South Africa., Kerr WT; From the Department of Biostatistics and Data Science (J.L.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Neurology and Biomedical Informatics (W.T.K.), University of Pittsburgh, PA; Cardio-CARE (A.Z.), Medizincampus Davos, Switzerland; Department of Cardiology and Population Health Innovation (A.Z.), University Medical Center Hamburg-Eppendorf, Germany; and Department of Mathematics, Statistics and Computer Science (A.Z.), University of KwaZulu-Natal, Berea, Durban, South Africa., Ziegler A; From the Department of Biostatistics and Data Science (J.L.S.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Neurology and Biomedical Informatics (W.T.K.), University of Pittsburgh, PA; Cardio-CARE (A.Z.), Medizincampus Davos, Switzerland; Department of Cardiology and Population Health Innovation (A.Z.), University Medical Center Hamburg-Eppendorf, Germany; and Department of Mathematics, Statistics and Computer Science (A.Z.), University of KwaZulu-Natal, Berea, Durban, South Africa. |
| Source: | Neurology [Neurology] 2024 Oct 08; Vol. 103 (7), pp. e209861. Date of Electronic Publication: 2024 Sep 05. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0401060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-632X (Electronic) Linking ISSN: 00283878 NLM ISO Abbreviation: Neurology Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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