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Evaluating embedding-based representations of multidimensional clinical datasets: Examining their utility for detecting suicidal ideation in patients with Major Depression

Evaluating embedding-based representations of multidimensional clinical datasets: Examining their utility for detecting suicidal ideation in patients with Major Depression
评估基于嵌入的多维临床数据集表示：检查其在检测重度抑郁症患者自杀意念方面的效用
批准号：
440846
负责人：
Maslej Marta
金额：
$3.28万
依托单位：
Centre for Addiction and Mental Health (Toronto)
依托单位国家：
加拿大
项目类别：
Fellowship Programs
财政年份：
2020
资助国家：
加拿大
项目状态：
已结题
起止时间：
2020-12-01 至 2021-12-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=440846&lang=en
关键词：
Depression Electronic Health Records Representation Learning Suicidal Ideation

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中文摘要
翻译
自杀之前有自杀的想法，人们往往不愿透露。这可能导致错过更密切监测和干预的机会。为了解决这个问题，拟议的项目审查了自杀想法的预测因素
英文摘要
Suicide is preceded by suicidal thinking, which people are often hesitant to disclose. This can lead to missed opportunities for closer monitoring and intervention. To address this issue, the proposed project examines predictors of suicidal thinking that
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AI4PH Summer Institute 2022 – Travel Award
  • 批准号：
    467546
  • 项目类别：
  • 资助金额：
    $0.09万
  • 财政年份：
    2022
  • 负责人：
    Maslej Marta
  • 依托单位：
    McGill University
Predicting treatment response with machine learning from clinical notes: Informing clinical decisions and improving the representation of clients with depression at the Centre for Addiction and Mental Health
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