Work

Statistical Learning for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions

Year: 2025

Type: article

Source: Wiley Interdisciplinary Reviews Computational Statistics

DOI: 10.1002/wics.70043

Authors: Gulsah Hancerliogullari Koksalmis, Bulent Soykan, Laura J. Brattain, Hsin‐Hsiung Huang

Institutions: University of Central Florida, Istanbul Technical University

Language: English

Topic: Dementia and Cognitive Impairment Research

Subfield: Psychiatry and Mental health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Science Foundation

Awards: ATD: Collaborative Research: Real-Time Network Pattern Change Detection, ATD: Efficient and Effective Algorithms for Detection of Anomalies in High-dimensional Spatiotemporal Data with Large Amounts of Missing Data

OpenAlex ID: W4414196307

FWCI: 4.918

Cites: 52

Cited by: 8

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