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Visualization of Key Factor Relation in Clinical Pathway.

, , , , , , , and . KES, volume 60 of Procedia Computer Science, page 342-351. Elsevier, (2015)

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Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation., , and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 1073. IOS Press, (2015)Visualization of Key Factor Relation in Clinical Pathway., , , , , , , and . KES, volume 60 of Procedia Computer Science, page 342-351. Elsevier, (2015)The Development of an Electronic Phenotyping Algorithm for Identifying Rhabdomyolysis Patients in the MID-NET Database., , , , , , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1498-1499. IOS Press, (2019)Prediction of Key Patient Outcome from Sentence and Word of Medical Text Records., , , , and . ClinicalNLP@COLING 2016, page 86-90. The COLING 2016 Organizing Committee, (2016)Construction of Dominant Factor Presumption Model for Postoperative Hospital Days from Operation Records., , , , , , , and . IIAI-AAI, page 19-24. IEEE Computer Society, (2014)Machine learning for classification of postoperative patient status using standardized medical data., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2022)Temporal Relation Extraction in Outcome Variances of Clinical Pathways., , , , , , , and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 1077. IOS Press, (2015)