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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

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
通过机器学习从临床记录中预测治疗反应：为临床决策提供信息并改善成瘾和心理健康中心抑郁症患者的代表性
批准号：
407549
负责人：
Maslej Marta
金额：
$7.9万
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：
2019
资助国家：
加拿大
项目状态：
已结题
起止时间：
2019-04-01 至 2021-04-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=407549&lang=en
关键词：
Classifier Bias Clinical Decision-Making Depression Electronic Health Records Language Representation Models Machine Learning Natural Language Processing Standardized Care Pathway Topic Modelling Treatment Response

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中文摘要
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英文摘要
The Major Depressive Disorder Care Pathway (MDD-ICP) is a standardized pathway of care for clients with depression at the Centre for Addiction and Mental Health (CAMH). In the MDD-ICP, psychiatrists write detailed notes about their meetings with clients.
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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
Evaluating embedding-based representations of multidimensional clinical datasets: Examining their utility for detecting suicidal ideation in patients with Major Depression
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