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Updated: Jun 18, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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机器学习与传统统计建模的比较,用于预测急性心力衰竭后住院再接收的情况

Karem Abdul-Samad1, Shihao Ma2, David E Austin3

  • 1Ted Rogers Centre for Heart Research, Toronto, Canada; University of Toronto, Toronto, Canada; ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Canada.

American heart journal
|August 2, 2024
PubMed
概括

与机器学习模型相比,传统的统计模型在预测30天心力衰竭再入院时表现出更高的校准性,尽管歧视程度相似. 校准对于ML预测模型至关重要.

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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

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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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