A SURVEY ON MEDICAL AND DISEASES PREDICTION USING MACHINE LEARNING

AUTHOR(S)

B.Anubhama, Ms.M.Parvathi

DOI: https://doi.org/10.46647/ijetms.2023.v07i02.069

ABSTRACT
Machine learning is a subfield of AI and computer science that seeks to mimic human learning by enhancing its accuracy via exposure to more data and more complex algorithms. To improve software's predictive abilities, it doesn't need to be expressly coded to use machine learning (ML). Predictions from machine learning algorithms are based on past data. Machine learning has the ability to shake up the healthcare sector by providing novel approaches to managing healthcare data, reshaping patient treatment, and reducing back-end administrative tasks. Medical professionals and hospital administrators may benefit financially from the use of machine learning to deliver data-driven clinical decision support (CDS). Better health outcomes can be achieved with the help of machine learning thanks to increased patient participation in the treatment process. When applied to the IoMT, ML can collect more precise patient data and automate message alerts that prompt patients to take action at just the right time.
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How to Cite This Article:
B.Anubhama, Ms.M.Parvathi . A SURVEY ON MEDICAL AND DISEASES PREDICTION USING MACHINE LEARNING . ijetms;7(2):598-606. DOI: 10.46647/ijetms.2023.v07i02.069