Disease Prediction using Lab Reports

Authors: Maithil Deore, Yash Sonar, Mohit Ahire, Gaurav Jadhav

Country: India

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Abstract: Admittance to emergency clinic information is usually a difficult, exorbitant and tedious cycle requiring broad cooperation with network overseers. This prompts potential deferrals in obtaining bits of knowledge from information, like conclusion or other clinical results. Medical care managers, clinical professionals, specialists and patients could benefit from a framework that uses a medical system which could separate significant data from medical services information in constant. In this project, we present an inquiry addressing framework which works using machine learning that permits wellbeing experts to interface with a enormous scope information base by posing inquiries in normal language. This framework is based upon the NLP model, which make an interpretation of a client’s solicitation into a SQL question, which is then passed to the information server to recover pertinent information. We additionally propose a profound bilinear comparability model to work on the created SQL inquiries by better matching terms in the client’s question with the information base mapping and substance.

Keywords: NLP Model, Machine Learning, Medical System

Paper Id: 230200

Published On: 2023-05-31

Published In: Volume 11, Issue 3, May-June 2023

Cite This: Disease Prediction using Lab Reports - Maithil Deore, Yash Sonar, Mohit Ahire, Gaurav Jadhav - IJIRMPS Volume 11, Issue 3, May-June 2023.

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