Paper Title
Disease Prediction Using Past Historic Data
Article Identifiers
Authors
Jitendra Kumawat , Lakshay Tanwani , Divy Muradia , Smita Bisht
Keywords
Predictive healthcare, medical foresight, historical health data, analytics-driven predictions, machine-learned insights, risk profiling, genetic markers, symptom patterns, pre-emptive interventions, individualized health strategies, preventive healthcare
Abstract
Predicting diseases based on past medical history abstracts involves analyzing patterns, trends, and relevant information within a patient's health records. By leveraging advanced data analytics and machine learning, healthcare professionals can identify potential risk factors, genetic predispositions, and common symptoms associated with specific diseases. This predictive approach enables early intervention and personalized healthcare strategies, aiming to prevent or manage illnesses more effectively. However, it's crucial to note that disease predictions are not infallible, and uncertainties may exist. Ethical considerations, patient privacy, and the need for continuous validation of predictive models are essential aspects of the development and application of such tools. Overall, integrating predictive analytics into medical practices holds promise for enhancing preventive care and optimizing treatment plans based on an individual's unique medical history.
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How To Cite (APA)
Jitendra Kumawat, Lakshay Tanwani , Divy Muradia, & Smita Bisht (March-2024). Disease Prediction Using Past Historic Data. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), d210-d216. https://ijnrd.org/papers/IJNRD2403328.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : d210-d216
Other Publication Details
Paper Reg. ID: IJNRD_215770
Published Paper Id: IJNRD2403328
Downloads: 000121981
Research Area: Engineering
Country: Jaipur, Rajasthan, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403328.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403328
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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