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Inconsistency Tests for Patient Records in a Coronary Heart Disease Database.

, , , and . ISMDA, volume 1933 of Lecture Notes in Computer Science, page 183-189. Springer, (2000)

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Other publications of authors with the same name

Optimizing the Detection of Characteristic Waves in ECG Based on Processing Methods Combinations., , , , and . IEEE Access, (2018)Medical Expert Evaluation of Machine Learning Results for a Coronary Heart Disease Database., , and . ISMDA, volume 1933 of Lecture Notes in Computer Science, page 159-168. Springer, (2000)Inconsistency Tests for Patient Records in a Coronary Heart Disease Database., , , and . ISMDA, volume 1933 of Lecture Notes in Computer Science, page 183-189. Springer, (2000)Detection of congestive heart failure from short-term heart rate variability segments using hybrid feature selection approach., , and . Biomed. Signal Proc. and Control, (2019)Combining Unsupervised and Supervised Machine Learning., , and . AIME, volume 2101 of Lecture Notes in Computer Science, page 109-112. Springer, (2001)Confirmation rule induction and its applications to coronary heart disease diagnosis and risk group discovery., , and . Journal of Intelligent and Fuzzy Systems, 12 (1): 35-48 (2002)Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis., , , and . Appl. Intell., 27 (3): 205-217 (2007)Heart failure ontology., , and . Bio-Algorithms and Med-Systems, 7 (2): 101-110 (2011)Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy., , , , , and . Med. Biol. Engineering and Computing, 50 (10): 1037-1046 (2012)Coronary Heart Disease Patient Models Based on Inductive Machine Learning., , and . AIME, volume 2101 of Lecture Notes in Computer Science, page 113-116. Springer, (2001)