相关实验视频

Updated: Aug 2, 2026

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

8.2K

玻璃盒机器学习用于使用许多患者记录的回顾性队列研究. 复杂的例子是出血的胃潰瘍

B Robson1, O K Baek2

  • 1Ingine Inc., Cleveland, OH, USA; Dirac Foundation, Oxfordshire, UK; Advisory Board European Society of Translational Medicine, Austria.

Computers in biology and medicine
|March 21, 2024
PubMed
概括

玻璃盒机器学习是一种部分监督技术,通过分析复杂的医疗数据,有助于为临床试验选择患者. 这种方法提供了可解释性,补充了个性化医学研究中的深度学习.

更多相关视频

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K
Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors03:05

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors

Published on: February 16, 2024

1.0K

相关概念视频

Kaplan-Meier Approach01:24

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,...