Online ISSN: 2515-8260

Predictive Analytics in Healthcare

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Manas Thapliyal 1 , Dr.Saikat Gochhait2

Abstract

I. Abstract and Introduction: Breast pathology is one of the most prevalent pathologies in routine practice.The malignant and benign lesions that can lead to morbidity and their masquerade as malignancy, which can be a significant public health threat or concern and the patients' plight.The high incidence of malignant breast cancer, its relatively simple early detection and effective preservative surgery and chemotherapy treatment. Because of this triple assessment involving a clinical, radiological and cytological examination, it started to be generally recognized.The field of healthcare nowadays is also determined by the quality of analysis done during diagnostic tests. It the correctness of the diagnostics tests that matter before treating a patient. Around 2.1 million women are affected each year by breast cancer alone.An estimate of death of around 627k women due to breast cancer in the year 2018. As per experts’ belief, 31% of total breast cancer cases are misdiagnosed. If the analysis of the diagnostic tests is accurate, the patient can be treated for the ailment that he is suffering from and the medicine can be specific and precise too. Including analytics for even the smallest of the tests in healthcare would not only help doctors analyze the data from the relevant tests but also make an accurate diagnosis and in some cases prognosis for the ailment which the patient is suffering or might suffering in the near future.

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