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Predicting Postoperative Complications for Gastric Cancer Patients Using Data Mining.

, , , , , , , and . INTETAIN, volume 273 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 37-46. Springer, (2018)

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Predicting Postoperative Complications for Gastric Cancer Patients Using Data Mining., , , , , , , and . INTETAIN, volume 273 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 37-46. Springer, (2018)The Development of a Business Intelligence Web Application to Support the Decision-Making Process Regarding Absenteeism in the Workplace., , , , and . ICITS, volume 1137 of Advances in Intelligent Systems and Computing, page 104-113. Springer, (2020)Machine Learning Powered Data Platform for High-Quality Speech and NLP Workflows., , , , and . INTERSPEECH, page 1962-1963. ISCA, (2018)A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype., , , , , , , , , and 3 other author(s). CoRR, (2023)Segmentation of Eye Fundus Images by density clustering in diabetic retinopathy., , , , , and . BHI, page 25-28. IEEE, (2017)Unveiling Practitioners Awareness of Android Apps Regression Testing through an Expert Survey., , , and . SBES, page 303-308. ACM, (2020)A thematic synthesis on the adoption of regression testing techniques in Android projects., , and . SBQS, page 1:1-1:10. ACM, (2022)A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery., , , , , , and . Sensors, 18 (1): 167 (2018)Cancer diagnosis in digital pathology: learning from label scarcity. University of Porto, Portugal, (2022)Quality Control in Digital Pathology: Automatic Fragment Detection and Counting., , , , , , , , , and 2 other author(s). EMBC, page 588-593. IEEE, (2022)