Data-driven model for healthcare diagnosis

作者: Lakshmi Kanthan Narayanan , Priyanga Subbiah , Rengaraj Alias Muralidharan Ramanujam , PB Aravind Prasad , P Selvaraj

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摘要: The digital world is overflowing with data in today’s Fourth Industrial Revolution generation. In various application industries, one can learn from or gain insightful information from these data to make intelligent decisions. As a result, the computer process becomes autonomous and intelligent. Advanced analytics approaches, such as machine learning models in the field of data science, can offer insightful information or a deeper grasp of the data. Around the world, the COVID-19 epidemic has brought forth difficulties that had never been seen before. Overworked healthcare practitioners must make challenging daily decisions about patient triage, care management, and therapy. Politicians have spent much money on isolationist social programs to treat the disease. Analytical tools to support these choices and the fight against the epidemic. In order to create a brand-new macroscopic image of the condition, it is first …

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