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ISSN 2063-5346
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Machine Learning in Healthcare for Better Diagnosis and Prognosis

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Sri Deepthi Chava, Soumya Bhuvana Priya Vemparala, Chandrasekhar Vemulamada,John Moses Chinthala, Vijaya Babu Burra,Prasanth Yalla
» doi: 10.48047/ecb/2023.12.si4.1501

Abstract

A diagnosis is a determination by a medical expert of the illness, problem, or condition affecting a patient. Research on the patient, such as physical examinations or medical tests, is typically necessary for a diagnosis. As well as describing the decision-making process, the phrase can also refer to the product of the process. In medicine, a prognosis is a forecast of the anticipated effects of a condition on a patient. The phrase refers to a forecast of how likely or unlikely a patient's recovery is and is often used in the context of more severe diseases and ailments. Some patients might face Caner Diseases. So, we diagnose the patients using a computer system, these systems are used to diagnose for detecting breast cancer and employ a range of pattern recognition techniques. For these problems, we apply existing techniques and analytical procedures. The conceptual diagram and demonstration version of the suggested analytical predictive system are presented in this article. The advantages of the suggested method are demonstrated by an evaluation of the usual vibration diagnostic both the suggested technique as a device for the quick identification of fractures in a Francis turbine runner. Some algorithms can be applied to the problems which were presented in this article.

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