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      Adoption of machine learning for medical diagnosis

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      In review
      research-article

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      ScienceOpen Preprints

      ScienceOpen

      ANN, Artificial Intelligence, CNN, Healthcare, Machine learning, Diagnosis, AI

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          Abstract

          The healthcare industry has historically been an early adopter of technology advancements and has reaped significant benefits. Machine learning (an artificial intelligence subset) is being used in a variety of health-related fields, including the invention of new medical treatments, the management of patient data and records, and the treatment of chronic diseases. One of the most important uses of machine learning in healthcare is the detection and diagnosis of diseases and conditions that are otherwise difficult to identify. This can range from tumors that are difficult to detect in their early stages to other hereditary illnesses. This research identifies and discusses the various usages of machine learning in medical diagnosis.

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          Author and article information

          Journal
          ScienceOpen Preprints
          ScienceOpen
          25 September 2021
          Affiliations
          [1 ] Saudia Arabia
          Author notes
          Article
          10.14293/S2199-1006.1.SOR-.PPHMKA6.v1

          This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

          Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

          Artificial intelligence, Health & Social care

          CNN, Machine learning, Artificial Intelligence, Diagnosis, Healthcare, AI, ANN

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