Investigating the differential impact of psychosocial factors by patient characteristics and demographics on Veteran suicide risk through machine learning extraction of cross-modal interactions

Accurate prediction of suicide risk is crucial for identifying patients with elevated risk burden, helping ensure these patients receive targeted care. The US Department of Veteran …

Early prediction of Alzheimer's disease using longitudinal electronic health records of US military Veterans

Abstract: BACKGROUND: Early prediction of Alzheimer's disease is important for timely intervention and treatment. We examine whether machine learning on longitudinal electronic …

Rule-based identification of individuals with mild cognitive impairment or Alzheimer's disease using clinical notes from the United States Veterans Affairs healthcare system

Abstract: BACKGROUND: Early identification of individuals with mild cognitive impairment (MCI) and Alzheimer's disease (AD) is a clinical and research imperative. Use of diagnostic …