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Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model)., , , , , , , , , and 3 other author(s). CoRR, (2021)Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of snomed codes., , and . J. Biomed. Informatics, (2018)Identifying growth-patterns in children by applying cluster analysis to electronic medical records., , and . BIBM, page 348-351. IEEE Computer Society, (2014)Query as Context for Item-to-Item Recommendation., and . RecSys, page 575-576. ACM, (2020)Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Records., , and . CoRR, (2017)Deep Search Relevance Ranking in Practice., , , , , , and . KDD, page 4810-4811. ACM, (2022)Identifying patterns of associated-conditions through topic models of Electronic Medical Records., , and . BIBM, page 466-469. IEEE Computer Society, (2016)Identifying Growth-Patterns in Children by Applying Cluster analysis to Electronic Medical Records., , and . CoRR, (2017)Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model., , , , , , , , , and 2 other author(s). CoRR, (2021)Personalization and Recommendations in Search., , , and . WWW (Companion Volume), page 746. ACM, (2023)