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A Cluster-Based Machine Learning Model for Large Healthcare Data Analysis.

, , , and . Innovate-Data, volume 1054 of Communications in Computer and Information Science, page 92-106. Springer, (2019)

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Application of Data Mining Techniques to Predict the Length of Stay of Hospitalized Patients with Diabetes., , and . Innovate-Data, page 38-43. IEEE, (2018)A Cluster-Based Machine Learning Model for Large Healthcare Data Analysis., , , and . Innovate-Data, volume 1054 of Communications in Computer and Information Science, page 92-106. Springer, (2019)Explainable Analytics to Predict the Quality of Life in Patients with Prostate Cancer from Longitudinal Data., , , and . Appl. Artif. Intell., (2022)Supervised Machine Learning Algorithms for Credit Card Fraudulent Transaction Detection: A Comparative Study., , and . IRI, page 122-125. IEEE, (2018)Analysis of Alternatives and Performance Evaluation Using a New OWA Operator based on the Laplace Distribution.. University of Calgary, Alberta, Canada, (2016)base-search.net (ftunivcalgary:oai:prism.ucalgary.ca:11023/3049).Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus., , , , , and . SN Comput. Sci., 4 (5): 433 (September 2023)Deep Learning-Based Detection and Classification of Uveal Melanoma Using Convolutional Neural Networks and SHAP Analysis., , , , , , and . IRI, page 215-220. IEEE, (2023)Breast tumor classification using a new OWA operator., , and . Expert Syst. Appl., (2016)Employing a Machine Learning Boosting Classifiers Based Stacking Ensemble Model for Detecting Non Technical Losses in Smart Grids., , , , , and . IEEE Access, (2022)Toward leveraging big value from data: chronic lymphocytic leukemia cell classification., , , and . Netw. Model. Anal. Health Informatics Bioinform., 6 (1): 6 (2017)