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Using Anticipative Hybrid Extreme Rotation Forest to predict emergency service readmission risk.

, , , and . J. Comput. Sci., (2017)

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Speed-up of a Knowledge-Based Clinical Diagnosis System using Reflexive Ontologies., , , , , , and . KES, volume 243 of Frontiers in Artificial Intelligence and Applications, page 1480-1489. IOS Press, (2012)Design and Development of a Mobile Cardiac Rehabilitation System., , , , , , , , , and 2 other author(s). Cybern. Syst., 45 (2): 92-108 (2014)A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems., , , , , , , , and . IEEE Access, (2022)Emergency Department Readmission Risk Prediction: A Case Study in Chile., , , and . IWINAC (2), volume 10338 of Lecture Notes in Computer Science, page 11-20. Springer, (2017)A Semantic Clinical Decision Support System: conceptual architecture and implementation guidelines., , , , , and . KES, volume 243 of Frontiers in Artificial Intelligence and Applications, page 1390-1399. IOS Press, (2012)Predictive models for hospital readmission risk: A systematic review of methods., , and . Comput. Methods Programs Biomed., (2018)Balanced training of a hybrid ensemble method for imbalanced datasets: a case of emergency department readmission prediction., , , and . Neural Comput. Appl., 32 (10): 5735-5744 (2020)Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer., , , , , , , and . Pattern Recognit. Lett., 34 (14): 1758-1768 (2013)Impact of Reflexive Ontologies in Semantic Clinical Decision Support Systems., , , , , , and . Cybern. Syst., 44 (2-3): 187-203 (2013)Predicting 30-day Readmission in Heart Failure using Machine Learning Techniques., , , , and . HEALTHINF, page 308-315. SciTePress, (2018)