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Updated: Jun 23, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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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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对基于行为激活的数字戒烟干预反应的个体预测因素:机器学习方法

Siyuan Huang1,2, Amy Wahlquist3, Jennifer Dahne1,2

  • 1Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina (MUSC), Charleston, South Carolina, USA.

Substance use & misuse
|June 20, 2024
PubMed
概括

参与Goal2Quit应用程序,特别是对于具有高等教育的用户,显著改善了戒烟和减少了抑郁症. 定制数字干预措施对于患有抑郁症状的吸烟者来说至关重要.

关键词:
戒烟的方法是戒烟.抑郁 抑郁症 抑郁症 抑郁症 是一种数字健康数字健康机器学习是机器学习.个性化干预是个性化的干预.

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Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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