AIMC Topic: United States Department of Defense

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Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population.

Computers in biology and medicine Mar 5, 2025
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patient self-reports. Natural language processing (NLP) of electronic health records (EHRs) provides an alternative approach for extracting risk predictors...
Humans Electronic Health Records Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged Risk Assessment Case-Control Studies Adolescent Suicide Prevention United States Natural Language Processing United States Department of Veterans Affairs Veterans United States Department of Defense Suicide, Completed Predictive Learning Models Psychological Well-Being
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U.S. Department of Defense Multiple-Parameter Biodosimetry Network.

Radiation protection dosimetry Nov 24, 2016
The U.S. Department of Defense (USDOD) service members are at risk of exposure to ionizing radiation due to radiation accidents, terrorist attacks and national defense activities. The use of biodosimetry is a standard of care for the triage and treat...
Humans United States Biological Assay Safety Management Decision Support Systems, Management Expert Systems Disaster Planning Models, Organizational Systems Integration United States Department of Defense Radiation Monitoring Radiation Protection
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Artificial intelligence. DARPA sets out to automate research.

Science (New York, N.Y.) Jan 30, 2015
Humans Artificial Intelligence Computer Simulation Biomedical Research Neoplasms United States Periodicals as Topic Models, Biological Genes, ras United States Department of Defense ras Proteins
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