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Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach.

, , , , , and . BMC Medical Informatics Decis. Mak., 20-S (5): 174 (2020)

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Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach., , , , , and . BMC Medical Informatics Decis. Mak., 20-S (5): 174 (2020)A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data., , and . J. Heal. Informatics Res., 4 (2): 174-188 (2020)Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis., , , , , and . AIME, volume 13897 of Lecture Notes in Computer Science, page 140-150. Springer, (2023)Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review., , , , , , , , , and 15 other author(s). Artif. Intell. Medicine, (August 2023)A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset., , , , , and . ICPM Workshops, volume 406 of Lecture Notes in Business Information Processing, page 291-304. Springer, (2020)Baseline Machine Learning Approaches To Predict Multiple Sclerosis Disease Progression., , , , , and . CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 1219-1232. CEUR-WS.org, (2023)Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis., , , , , , , and . BMC Medical Informatics Decis. Mak., 22-S (6): 346 (November 2022)Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression., , , , , , , and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 1277-1293. CEUR-WS.org, (2022)Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data., , and . ICHI, page 1-3. IEEE, (2019)Eleven quick tips for data cleaning and feature engineering., , and . PLoS Comput. Biol., 18 (12): 1010718 (December 2022)