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Updated: Sep 9, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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イランで自殺未遂の生存率を予測する: 機械学習の総合技術

Najmul Hasan1, Zohreh Hosseini Marznaki2, Mobin Marzban Abbas Abadi3

  • 1BRAC Business School, BRAC University, Dhaka, Bangladesh.

BMC psychiatry
|August 28, 2025
PubMed
まとめ

エンサンブル・マシン・ラーニング (ML) モデルはイランでの自殺未遂の生存率を正確に予測しています 入院のタイミングと薬の種類は生存の重要な要因であり,リスクのある個人に個別化された介入を導きます.

キーワード:
イラン機械学習精神的健康について自殺生存因子

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Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
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Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
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