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Cluster Hidden Markov Models: An Application to Ecological Momentary Assessment of Schizophrenia.

, , , , , , , , and . CBMS, page 99-103. IEEE, (2019)

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Towards a Framework for the Design, Implementation and Reporting of Methodology Scoping Reviews., , , , , , , , , and 3 other author(s). CoRR, (2020)Comparing Predictive Performance of Time Invariant and Time Variant Clinical Prediction Models in Cardiac Surgery., , , , , , and . MedInfo, volume 310 of Studies in Health Technology and Informatics, page 1026-1030. IOS Press, (2023)Cluster Hidden Markov Models: An Application to Ecological Momentary Assessment of Schizophrenia., , , , , , , , and . CBMS, page 99-103. IEEE, (2019)Examining the impact of data quality and completeness of electronic health records on predictions of patients' risks of cardiovascular disease., , , , and . Int. J. Medical Informatics, (2020)Informative presence and observation in routine health data: A review of methodology for clinical risk prediction., , , , , , , and . J. Am. Medical Informatics Assoc., 28 (1): 155-166 (2021)DeepJoint: Robust Survival Modelling Under Clinical Presence Shift., , , , , and . CoRR, (2022)Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used., , , , , and . AMIA, AMIA, (2021)Explicit causal reasoning is needed to prevent prognostic models being victims of their own success., , , and . J. Am. Medical Informatics Assoc., 26 (12): 1675-1676 (2019)Adaptive Symptom Monitoring Using Hidden Markov Models - An Application in Ecological Momentary Assessment., , , , , , and . IEEE J. Biomed. Health Informatics, 25 (5): 1770-1780 (2021)Ranking sets of morbidities using hypergraph centrality., , , , , , , , , and 1 other author(s). J. Biomed. Informatics, (2021)