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Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review.

, , , and . J. Medical Syst., 48 (1): 49 (December 2024)

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Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges., , , , and . Health Informatics J., (2019)Detecting Falls Using a Wearable Accelerometer Motion Sensor., , , and . MobiQuitous, page 422-431. ACM, (2017)An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning., , , and . CoRR, (2019)SENTIPEDE: A Smart System for Sentiment-based Personality Detection from Short Texts., , , and . J. Univers. Comput. Sci., 25 (10): 1323-1352 (2019)A Cox-based Model for Predicting the Risk of Cardiovascular Disease., , , and . CONF-IRM, page 23. (2019)Multi-interest semantic changes over time in short-text microblogs., , , and . Knowl. Based Syst., (2021)A Systematic Review of Wearable Patient Monitoring Systems - Current Challenges and Opportunities for Clinical Adoption., , , , and . J. Medical Syst., 41 (7): 115:1-115:9 (2017)Long-Term Trends in Public Sentiment in Indian Demonetisation Policy., , , , and . INTAP, volume 932 of Communications in Computer and Information Science, page 65-75. Springer, (2018)Automatic Speech Emotion Recognition Using Machine Learning: Digital Transformation of Mental Health., , , , , , and . PACIS, page 45. (2022)Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review., , , and . J. Medical Syst., 48 (1): 49 (December 2024)