uci heart disease data sets (cleveland, statlog) (StatLog Inc)
90
Structured Review
StatLog Inc
uci heart disease data sets (cleveland, statlog)
Uci Heart Disease Data Sets (Cleveland, Statlog), supplied by StatLog Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/uci+data/uci+heart+disease+data+sets++cleveland++statlog+/pmc10814033-23-13-19
Average 90 stars, based on 1 article reviews
Uci Heart Disease Data Sets (Cleveland, Statlog), supplied by StatLog Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/uci+data/uci+heart+disease+data+sets++cleveland++statlog+/pmc10814033-23-13-19
Average 90 stars, based on 1 article reviews
uci heart disease data sets (cleveland, statlog) - by Bioz Stars,
2026-11
90/100 stars
Images
1) Product Images from "Topological Data Analysis in Cardiovascular Signals: An Overview"
Article Title: Topological Data Analysis in Cardiovascular Signals: An Overview
Journal: Entropy
doi: 10.3390/e26010067
Figure Legend Snippet: Comparison of TDA Models in Cardiovascular Signal Applications.
Techniques Used: Comparison
Related Articles
Comparison:Article Title: Topological Data Analysis in Cardiovascular Signals: An Overview. Article Snippet: Topological data analysis (TDA) is a recent approach for analyzing and interpreting complex data sets based on ideas a branch of mathematics called algebraic topology.. TDA has proven useful to disentangle non-trivial data structures in a broad range of data analytics problems including the study of cardiovascular signals.. Here, we aim to provide an overview of the application of TDA to cardiovascular signals and its potential to enhance the understanding of cardiovascular diseases and their treatment in the form of a literature or narrative review. Article Title: Visagreement: Visualizing and Exploring Explanations (Dis)Agreement Article Snippet: The emergence of distinct machine learning explanation methods has leveraged a number of new issues to be investigated.. The disagreement problem is one such issue, as there may be scenarios where the output of different explanation methods disagree with each other.. Although understanding how often, when, and where explanation methods agree or disagree is important to increase confidence in the explanations, few works have been dedicated to investigating such a problem. Article Title: Topological Data Analysis in Cardiovascular Signals: An Overview Article Snippet: Aljanobi and Lee [ ] , Mapper Algorithm , Heart Disease Prediction , UCI Heart Disease Data sets (Cleveland, Statlog) , Nine significant features, |