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Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 23, 2025
Public HealthRoger A Dixon, Linzy BohnFrontiers in Aging Neuroscience|March 19, 2025
Comparing machine learning classifier models in discriminating cognitively unimpaired older adults from three clinical cohorts in the Alzheimer's disease spectrum: demonstration analyses in the COMPASS-ND studyHarrison Fah, Linzy Bohn, Russell Greiner, et al.Alzheimer'S Research & Therapy|January 5, 2021
Portals to frailty? Data-driven analyses detect early frailty profilesLinzy Bohn, Yao Zheng, G Peggy McFall, et al.Neuropsychology|January 31, 2020
Body mass index predicts cognitive aging trajectories selectively for females: Evidence from the Victoria Longitudinal StudyLinzy Bohn, G Peggy McFall, Sandra A Wiebe, et al.Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 26, 2025
BiomarkersRoger A Dixon, Shannon M Drouin, Linzy Bohn, et al.Journal of Alzheimer'S Disease : JAD|March 3, 2025
Frailty in motion: Amnestic mild cognitive impairment and Alzheimer's disease cohorts display heterogeneity in multimorbidity classification and longitudinal transitionsLinzy Bohn, Yao Zheng, G Peggy McFall, et al.Biology of Sex Differences|March 10, 2026
Evaluating sex and gender as separate and interactive predictors of memory aging trajectory classes: an integrative data-driven approachLinzy Bohn, Paige Vandenberg, Harrison Fah, et al.Canadian Geriatrics Journal : CGJ|March 3, 2023
Dementia Risk Prediction in a Longitudinal Geriatric Parkinson's Disease Cohort: Evaluation and Application of the Montreal Parkinson Risk of Dementia ScaleLinzy Bohn, G Peggy McFall, Myrlene Gee, et al.BMC Geriatrics|December 12, 2023
Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer's disease spectrum: a COMPASS-ND studyLinzy Bohn, Shannon M Drouin, G Peggy McFall, et al.Frontiers in Aging Neuroscience|July 17, 2023
Identifying key multi-modal predictors of incipient dementia in Parkinson's disease: a machine learning analysis and Tree SHAP interpretationG Peggy McFall, Linzy Bohn, Myrlene Gee, et al.Pageof 13