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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 4 | Month- April 2026
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Published Paper Details:
Paper Title
ML Driven Health Prediction Model: Enhancing Quality of Care with Superior Patient Outcomes
Authors
Dipmala Bhagwat Trimukhe
Keywords
Internet of Things (IoT), Patient data, Supervised Learning, ML driven (Machine Learning) Disease Prediction System, Electronic Health Record(EHR), Encryption, Access Control, Healthcare system.
Abstract
The use of machine learning (ML) in healthcare is transforming how patient data is interpreted, analyzed, and used to support clinical judgment. In order to better predict patient states and enable early intervention and better care practices, this study presents an ML-driven health prediction model. The proposed methodology leverages real-time monitoring, supervised learning algorithms, and prior medical records to enable personalized treatment planning and predictive diagnostics. The goal is to ensure timely, data-driven decisions that lead to better patient outcomes while also raising the standard of care. Experimental results using real-world datasets show how well the model recognizes high-risk cases and intelligently automates healthcare delivery.
IJCRT's Publication Details
Unique Identification Number - IJCRT2602772
Paper ID - 302324
Page Number(s) - g746-g749
Pubished in - Volume 14 | Issue 2 | February 2026
DOI (Digital Object Identifier) - https://doi.org/10.56975/ijcrt.v14i2.302324
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Dipmala Bhagwat Trimukhe, "ML Driven Health Prediction Model: Enhancing Quality of Care with Superior Patient Outcomes", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 2, pp.g746-g749, February 2026, Available at :http://www.ijcrt.org/papers/IJCRT2602772.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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