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Monica Dimambro

Showing results (11-20 of 16) with videos related to

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Psychiatry Research|July 31, 2024
Using natural language processing to evaluate temporal patterns in suicide risk variation among high-risk VeteransMaxwell Levis, Joshua Levy, Monica Dimambro, et al.
Journal of Affective Disorders|May 12, 2026
Using natural language processing to assess proxy measures of therapeutic alliance across suicide risk tiersMaxwell Levis, Monica Dimambro, Joshua Levy, et al.
Computers in Biology and Medicine|March 6, 2025
Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs populationSiting Li, Maxwell Levis, Monica DiMambro, et al.
Psychological Medicine|September 16, 2024
Characterizing Veteran suicide decedents that were not classified as high-suicide-riskMaxwell Levis, Monica Dimambro, Joshua Levy, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Personalizing Suicide Risk Assessment: Machine Learning Extraction of Cross-Modal Interactions Between Psychosocial and Demographic Factors in Veterans <sup>1</sup>Maxwell Levis, Brian Shiner, Monica Dimambro, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Comparative Evaluation of Pretrained Large Language Models for Suicide Risk Prediction from Clinical Notes in U.S. VeteransJoshua Levy, Maxwell Levis, Monica Dimambro, et al.
Pageof 2

Showing results (11-20 of 16) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 16 results.
Psychiatry Research|July 31, 2024
Using natural language processing to evaluate temporal patterns in suicide risk variation among high-risk VeteransMaxwell Levis, Joshua Levy, Monica Dimambro, et al.
Journal of Affective Disorders|May 12, 2026
Using natural language processing to assess proxy measures of therapeutic alliance across suicide risk tiersMaxwell Levis, Monica Dimambro, Joshua Levy, et al.
Computers in Biology and Medicine|March 6, 2025
Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs populationSiting Li, Maxwell Levis, Monica DiMambro, et al.
Psychological Medicine|September 16, 2024
Characterizing Veteran suicide decedents that were not classified as high-suicide-riskMaxwell Levis, Monica Dimambro, Joshua Levy, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Personalizing Suicide Risk Assessment: Machine Learning Extraction of Cross-Modal Interactions Between Psychosocial and Demographic Factors in Veterans <sup>1</sup>Maxwell Levis, Brian Shiner, Monica Dimambro, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Comparative Evaluation of Pretrained Large Language Models for Suicide Risk Prediction from Clinical Notes in U.S. VeteransJoshua Levy, Maxwell Levis, Monica Dimambro, et al.
Pageof 2