From promise to practice: towards the realisation of AI-informed mental health care

N Koutsouleris, TU Hauser, V Skvortsova… - The Lancet Digital …, 2022 - thelancet.com
In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-
based precision medicine tools in mental health care from clinical, ethical, and regulatory …

A review of approaches to identifying patient phenotype cohorts using electronic health records

C Shivade, P Raghavan… - Journal of the …, 2014 - academic.oup.com
Objective To summarize literature describing approaches aimed at automatically identifying
patients with a common phenotype. Materials and methods We performed a review of …

The “All of Us” research program

All of Us Research Program … - New England Journal of …, 2019 - Mass Medical Soc
Knowledge gained from observational cohort studies has dramatically advanced the
prevention and treatment of diseases. Many of these cohorts, however, are small, lack …

[HTML][HTML] Standardizing terms for clinical pharmacogenetic test results: consensus terms from the Clinical Pharmacogenetics Implementation Consortium (CPIC)

KE Caudle, HM Dunnenberger, RR Freimuth… - Genetics in …, 2017 - Elsevier
Introduction Reporting and sharing pharmacogenetic test results across clinical laboratories
and electronic health records is a crucial step toward the implementation of clinical …

A machine learning-based framework to identify type 2 diabetes through electronic health records

T Zheng, W **: from rule-based definitions to machine learning models
JM Banda, M Seneviratne… - Annual review of …, 2018 - annualreviews.org
With the widespread adoption of electronic health records (EHRs), large repositories of
structured and unstructured patient data are becoming available to conduct observational …