Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review-Reference-Cited by-同舟云学术

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review

Published:2022-03 Issue: Volume:142 Page:105204
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Suri Jasjit S.,Bhagawati Mrinalini,Paul Sudip^ORCID,Protogeron Athanasios,Sfikakis Petros P.,Kitas George D.,Khanna Narendra N.,Ruzsa Zoltan,Sharma Aditya M.^ORCID,Saxena Sanjay,Faa Gavino,Paraskevas Kosmas I.,Laird John R.,Johri Amer M.,Saba Luca,Kalra Manudeep

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference117 articles.

1. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions;Kaptoge;Lancet Global Health,2019

2. Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: a review;Banchhor;Comput. Biol. Med.,2018

3. Low-cost preventive screening using carotid ultrasound in patients with diabetes;Viswanathan;Front. Biosci.,2020

4. Cardiovascular disease and stroke risk assessment in patients with chronic kidney disease using integration of estimated glomerular filtration rate, ultrasonic image phenotypes, and artificial intelligence: a narrative review;Jamthikar;Int. Angiol.: a Journal of the International Union of Angiology,2021

5. Integration of estimated glomerular filtration rate biomarker in image-based cardiovascular disease/stroke risk calculator: a south Asian-Indian diabetes cohort with moderate chronic kidney disease;Viswanathan;Int. Angiol.: a journal of the International Union of Angiology,2020

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data;Diagnostics;2024-08-28

2. Feasibility of tongue image detection for coronary artery disease: based on deep learning;Frontiers in Cardiovascular Medicine;2024-08-23

3. Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions;Journal of Medical Internet Research;2024-07-26

4. Four Transformer-Based Deep Learning Classifiers Embedded with an Attention U-Net-Based Lung Segmenter and Layer-Wise Relevance Propagation-Based Heatmaps for COVID-19 X-ray Scans;Diagnostics;2024-07-16

5. Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review;eClinicalMedicine;2024-07