Citation :

Rutuja A Gulhane, Sunil R Gupta, 2023. "Improve Disease Detection Performance by Reducing Risk Levels using the Classification Approach" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 1, Issue 1: 19-24.

Abstract :

Healthcare systems worldwide rely on health informatics to create electronic medical records (EMRs) to capture a wide range of information about patient health. Electronic medical records have the potential to transform the healthcare system by providing higher-quality care to patients. Clinical data may be more readily available if electronic medical records are available. This will aid in the identification of novel illness patterns, and the processing of this vast amount of data will aid in the delivery of individualized care to the patients. To enable quick understanding and automated processing of EMR data, the machine learning approach is used. In particular, machine learning methods obtain approval from the research community to predict disease with greater accuracy. Applying machine learning methodologies to the EMR dataset provides valuable information for health risk analysis and associated complications. This research proposes an effective system for predicting early disease and risk analysis based on machine learning algorithms to improve delivery accuracy with less risk and an auto notification approach.

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Keywords :

Accuracy, Electronic Medical Records (EMR), Healthcare Systems, Machine Learning.