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Machine Learning and Mobile Health Monitoring Platforms: A Case Study on Research and Implementation Challenges.

, , and . J. Heal. Informatics Res., 2 (1-2): 179-203 (2018)

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IoT for remote wireless electrophysiological monitoring: proof of concept., and . CASCON, page 254-258. IBM / ACM, (2017)MLCM: Multi-Label Confusion Matrix., , and . IEEE Access, (2022)Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems., , , , , , , , , and . CoRR, (2022)Machine Learning and Mobile Health Monitoring Platforms: A Case Study on Research and Implementation Challenges., , and . J. Heal. Informatics Res., 2 (1-2): 179-203 (2018)M4CVD: Mobile Machine Learning Model for Monitoring Cardiovascular Disease., , and . EUSPN/ICTH, volume 63 of Procedia Computer Science, page 384-391. Elsevier, (2015)Augmented Reality Based Brain Tumor 3D Visualization., , , and . EUSPN/ICTH, volume 113 of Procedia Computer Science, page 400-407. Elsevier, (2017)Trust Metrics for Medical Deep Learning Using Explainable-AI Ensemble for Time Series Classification., and . CCECE, page 370-377. IEEE, (2022)Addressing Dataset Shift for Trustworthy Deep Learning Diagnostic Ultrasound Decision Support., , and . Trans. Comput. Sci., (2023)The first workshop on blockchain & eHealth: towards provable privacy & security in data intensive health research., , and . CASCON, page 333-336. IBM / ACM, (2017)Low temperature nanointegration for emerging biomedical applications., and . Microelectron. Reliab., 52 (2): 361-374 (2012)