A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to …
Abstract Objectives In 2016, the Department of Veterans Affairs (VA) and the Department of
Energy (DOE) established an Interagency Agreement (IAA), the Million Veteran Program …
Energy (DOE) established an Interagency Agreement (IAA), the Million Veteran Program …
High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
We present an ensemble transfer learning method to predict suicide from Veterans Affairs
(VA) electronic medical records (EMR). A diverse set of base models was trained to predict a …
(VA) electronic medical records (EMR). A diverse set of base models was trained to predict a …
[HTML][HTML] Predicting Suicide Among US Veterans Using Natural Language Processing-enriched Social and Behavioral Determinants of Health
Despite recognizing the critical association between social and behavioral determinants of
health (SBDH) and suicide risk, SBDHs from unstructured electronic health record (EHR) …
health (SBDH) and suicide risk, SBDHs from unstructured electronic health record (EHR) …
[HTML][HTML] From Data to Hope: Deep Neural Network-Based Prediction of Poisoning (DNNPPS) Suicide Cases
Background: Suicide is a critical global issue with profound social and economic
consequences. Implementing effective prevention strategies is essential to alleviate these …
consequences. Implementing effective prevention strategies is essential to alleviate these …
Predicting Suicide Cases Using Deep Neural Network
Suicide is a critical issue in contemporary society, giving rise to significant societal and
economic ramifications. To mitigate these adverse effects, it is imperative to implement …
economic ramifications. To mitigate these adverse effects, it is imperative to implement …