Machine Learning Algorithm Employed for Automated Clinical Audit Destined to Regulate the Inevitable PC-PNDT Act

Abstract

Massive volume of valuable clinical information is still hidden in a clinical narrative format .Consequently, the development of clinical NLP techniques is required to unlock the full potential of clinical data .In this study we developed the machine learning algorithm ,which converts an unstructured clinical narrative automatically into structured clinical data. These clinical NLP –based Machine Learning applications retains transparency in clinical practice. It also helps for smooth conduction of clinical audit destined to regulate the law of PC-PNDT act of Parliament of India .It effectively reduce the legislative pressure of medical professional's . This paper discusses the machine learning methodologies used to process radiology text reports generated from sonography machine ,which is in pdf format .It also improve the understanding of the patient's clinical records and the prediction of chronic diseases, risk and extract clinical information.This machine learning algorithm lays down basic safety standards for unstructured text of obstetric radiology reports and establish quality assurance through automated clinical audit.

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