Literature DB >> 21034214

A conversation with Edwin Shneidman.

John Pestian1.   

Abstract

This article is a transcript of a conversation that took place with Edwin Shneidman, PhD, on August 19, 2008. Recent advances in machine learning, particularly neurocognitive computing, have provided a fresh approach to the idea of using computers to analyze the language of the suicidal person. Here this notion and many others are discussed.

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Year:  2010        PMID： 21034214     DOI： 10.1521/suli.2010.40.5.516

Source DB:  PubMed          Journal:  Suicide Life Threat Behav        ISSN： 0363-0234


  3 in total

1.  Identifying epilepsy psychiatric comorbidities with machine learning.

Authors:  Tracy Glauser; Daniel Santel; Melissa DelBello; Robert Faist; Tonia Toon; Peggy Clark; Rachel McCourt; Benjamin Wissel; John Pestian
Journal:  Acta Neurol Scand       Date:  2020-01-22       Impact factor: 3.209

2.  A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy Sessions.

Authors:  Joshua Cohen; Jennifer Wright-Berryman; Lesley Rohlfs; Donald Wright; Marci Campbell; Debbie Gingrich; Daniel Santel; John Pestian
Journal:  Int J Environ Res Public Health       Date:  2020-11-05       Impact factor: 3.390

3.  Integration and Validation of a Natural Language Processing Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in the Emergency Department.

Authors:  Joshua Cohen; Jennifer Wright-Berryman; Lesley Rohlfs; Douglas Trocinski; LaMonica Daniel; Thomas W Klatt
Journal:  Front Digit Health       Date:  2022-02-02
  3 in total

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