Maxwell Levis, PhD

VAMC White River Junction, White River Junction, Vermont; Department of Psychiatry, Geisel School of Medicine, Hanover, New Hampshire

  • 3Articles
  • 12.8KReads
  • 2022–2026Active
  • 13Collaborators
  • 33Citations

About

Maxwell Levis, PhD is affiliated with VAMC White River Junction, White River Junction, Vermont; Department of Psychiatry, Geisel School of Medicine, Hanover, New Hampshire. Maxwell Levis has authored or co-authored 3 peer-reviewed articles published across the Journal of Clinical Psychiatry and the Primary Care Companion for CNS Disorders between 2022 and 2026. Their work focuses on Suicide and Posttraumatic Stress Disorder.

Publications

JCP
Using Natural Language Processing to Evaluate Differences in Psychotherapeutic Services for PTSD in a Suicide-Risk-Stratified Veteran Sample
Original Research

Using Natural Language Processing to Evaluate Differences in Psychotherapeutic Services for PTSD in a Suicide-Risk-Stratified Veteran Sample

April 8, 2026

Psychotherapeutic care for PTSD differed for patients who did and did not die by suicide, suggesting the importance of developing risk-tier-specific care.
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JCP
Using Natural Language Processing in Suicide Risk Prediction
Original Research

Using Natural Language Processing in Suicide Risk Prediction

June 19, 2023

Natural language processing, a subfield of AI that evaluates textual patterns, added predictive accuracy to the current model of using structured EHR data in suicide risk prediction.
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JCP
Tools to Detect Suicide Risk
Meta-Analysis

Tools to Detect Suicide Risk

November 16, 2022

More than 20 instruments have been developed to assist in detecting suicide risk in adults. This systematic review used likelihood ratio analysis to determine the diagnostic accuracy of instruments...
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Physicians Postgraduate Press, Inc. (PPP) makes no warranties about the accuracy or completeness of any information published in The Journal of Clinical Psychiatry or other PPP materials, and disclaims liability for any use or non-use of that information. Clinicians should not rely solely on these materials and should exercise their own professional judgment when making patient care decisions on an individualized basis.

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