IEEE journal of biomedical and health informatics. 2023 Jan;27(1):239-250. doi: 10.1109/JBHI.2022.3211765 Q16.82025

A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies

一种新型的基于热带几何的可解释机器学习方法：用于终末期心力衰竭治疗的初步应用研究翻译改进

Heming Yao, Harm Derksen, Jessica R Golbus, Justin Zhang, Keith D Aaronson, Jonathan Gryak, Kayvan Najarian

作者单位 +展开

作者单位

DOI: 10.1109/JBHI.2022.3211765 PMID: 36194714

A model's interpretability is essential to many practical applications such as clinical decision support systems. In this article, a novel interpretable machine learning method is presented, which can model the relationship between input variables and responses in humanly understandable rules. The method is built by applying tropical geometry to fuzzy inference systems, wherein variable encoding functions and salient rules can be discovered by supervised l... ...点击完成人机验证后继续浏览

相关内容

期刊名：Ieee journal of biomedical and health informatics

缩写：IEEE J BIOMED HEALTH

ISSN：2168-2194

e-ISSN：2168-2208

IF/分区：6.8/Q1

文章目录更多期刊信息

全文链接

官方链接

PMC全文

引文链接

复制

已复制！

格式：

A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies

一种新型的基于热带几何的可解释机器学习方法：用于终末期心力衰竭治疗的初步应用研究翻译改进

Prediction of Cisplatin-Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information

基于电子病历信息使用可解释机器学习模型预测顺铂致急性肾损伤

Application of interpretable machine learning models to improve the prediction performance of ionic liquids toxicity

解释性机器学习模型在离子液体毒性预测中的应用

Implementation of Bartlett matched-field processing using interpretable complex convolutional neural network

基于可解释复数卷积神经网络的巴特利特匹配场处理方法

Counterfactual Causal-Effect Intervention for Interpretable Medical Visual Question Answering

一种用于可解释的医学视觉问答的反事实因果效应干预方法

Atomic Adsorption Energies Prediction on Bimetallic Transition Metal Surfaces Using an Interpretable Machine Learning-Accelerated Density Functional Theory Approach

基于可解释机器学习加速的密度泛函理论方法预测双金属表面原子吸附能

Disruption evaluation in end-to-end semiconductor supply chains via interpretable machine learning

基于可解释机器学习的端到端半导体供应链中断评估研究

Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach

提高商用房地产评估准确性的可解释机器学习方法研究

Estimation of urban AQI based on interpretable machine learning

基于可解释机器学习的城镇AQI估算

A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies

一种新型的基于热带几何的可解释机器学习方法：用于终末期心力衰竭治疗的初步应用研究 翻译改进

Prediction of Cisplatin-Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information

基于电子病历信息使用可解释机器学习模型预测顺铂致急性肾损伤

Application of interpretable machine learning models to improve the prediction performance of ionic liquids toxicity

解释性机器学习模型在离子液体毒性预测中的应用

Implementation of Bartlett matched-field processing using interpretable complex convolutional neural network

基于可解释复数卷积神经网络的巴特利特匹配场处理方法

Counterfactual Causal-Effect Intervention for Interpretable Medical Visual Question Answering

一种用于可解释的医学视觉问答的反事实因果效应干预方法

Atomic Adsorption Energies Prediction on Bimetallic Transition Metal Surfaces Using an Interpretable Machine Learning-Accelerated Density Functional Theory Approach

基于可解释机器学习加速的密度泛函理论方法预测双金属表面原子吸附能

Disruption evaluation in end-to-end semiconductor supply chains via interpretable machine learning

基于可解释机器学习的端到端半导体供应链中断评估研究

Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach

提高商用房地产评估准确性的可解释机器学习方法研究

Estimation of urban AQI based on interpretable machine learning

基于可解释机器学习的城镇AQI估算

一种新型的基于热带几何的可解释机器学习方法：用于终末期心力衰竭治疗的初步应用研究翻译改进