Utilization of Machine Learning in a Responsible Manner in the Healthcare Sector
Keywords:
Medical Informatics, Machine Learning, Healthcare, Patient Outcome, Artificial IntelligenceAbstract
Artificial Intelligence and Machine Learning technologies have improved the ability to forecast and recognize health emergencies, disease populations, and disease status and immune response. Many people still need to be convinced about using ML-based approaches in healthcare, yet their incorporation is increasing regardless of such reservations. Here are brief descriptions and examples of supervised, unsupervised, and reinforcement learning algorithms and machine learning-based methodologies. Second, we discuss how ML is used in healthcare, like X-rays, DNA analysis, EHRs, and MRIs. We also offer solutions to the problems that arise when applying ML to healthcare, such as system privacy and ethical considerations, and point the way toward potential future applications.
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Copyright (c) 2016 Malaysian Journal of Medical and Biological Research
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