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Clinical Decision Support Systems: A Visual Survey., , , , and . Informatica (Slovenia), (2018)Clinical decision support software for management of chronic heart failure: Development and evaluation., , , , , , and . Comput. Biol. Medicine, 36 (5): 495-506 (2006)Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications., , , , , , , , , and 2 other author(s). Artif. Intell. Medicine, (2022)Role of dashboards in improving decision making in healthcare: Review of the literature., , , , , , and . ECCE, page 215-219. ACM, (2019)Improving the Detection of Acute Coronary Syndrome Using Machine Learning of Blood Biomarkers., , , , , , , , , and 3 other author(s). CinC, page 1-4. IEEE, (2020)Towards Explainable Artificial Intelligence and Explanation User Interfaces to Open the 'Black Box' of Automated ECG Interpretation., , , , , , , , , and 1 other author(s). AVI-BDA/ITAVIS@AVI, volume 12585 of Lecture Notes in Computer Science, page 96-108. Springer, (2020)Machine Learning Improves the Detection of Misplaced V1 and V2 Electrodes During 12-Lead Electrocardiogram Acquisition., , , , , , , , , and . CinC, page 1-4. IEEE, (2019)Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service., , , , , , , and . BIBM, page 1309-1314. IEEE, (2019)Computational time series analysis of patient referrals to a primary percutaneous coronary intervention service., , , , , , , and . Health Informatics J., 26 (3): 2222-2236 (2020)Machine Learning to Predict 30 Days and 1-Year Mortality in STEMI and Turndown Patients., , , , , , , and . CinC, page 1-4. IEEE, (2020)