Identifying proteomic prognostic markers for Alzheimer's disease with survival machine learning: The Framingham Heart Study.

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Title: Identifying proteomic prognostic markers for Alzheimer's disease with survival machine learning: The Framingham Heart Study.
Authors: Leng Y; Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA., Ding H; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA; Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA., Ang TFA; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA; Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA; Slone Epidemiology Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA., Au R; Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA; Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA; Slone Epidemiology Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA; Departments of Neurology and Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA., Doraiswamy PM; Department of Psychiatry, Neurocognitive Disorders Program, Duke University School of Medicine, Durham, NC 27710, USA., Liu C; Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA. Electronic address: liuc@bu.edu.
Source: The journal of prevention of Alzheimer's disease [J Prev Alzheimers Dis] 2025 Feb; Vol. 12 (2), pp. 100021. Date of Electronic Publication: 2025 Jan 01.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101638820 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2426-0266 (Electronic) Linking ISSN: 22745807 NLM ISO Abbreviation: J Prev Alzheimers Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2426-0266
DOI:10.1016/j.tjpad.2024.100021