Paper Title :Medical Diagnosis Using Machine Learning
Author :Varshith Addepalli, Bavineni Hoshita, Avuluri Neelima, Nidamanuri Venkata Pavan, Anne Venkata Praveen Krishna
Article Citation :Varshith Addepalli ,Bavineni Hoshita ,Avuluri Neelima ,Nidamanuri Venkata Pavan ,Anne Venkata Praveen Krishna ,
(2024 ) " Medical Diagnosis Using Machine Learning " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 52-59,
Volume-12,Issue-9
Abstract : This research delves into the fascinating realm of Artificial Intelligence (AI) and its impact on medical diagnostics,
with a primary aim of improving precision and efficiency in healthcare practices. By diving into the world of advanced
machine learning algorithms, our study addresses the urgent need for accurate and swift diagnostic tools. We take a handson
approach by integrating diverse patient datasets into state- of-the-art AI models, opening doors to a comprehensive
analysis of various medical conditions. The standout results reveal a significant boost in diagnostic accuracy, showcasing how
our AI system outshines traditional methods across a spectrum of medical cases. Through meticulous evaluation and
validation processes, we establish the reliability of our AI-driven diagnostic approach. The outcomes of this research not only
promise better patient outcomes but also hint at resource optimization and a shift in how we traditionally approach
diagnostics. In a nutshell, our study brings to light the game-changing potential of AI in medical diagnostics, shedding light on
its capability to transform healthcare delivery. As we tread into an era of personalized medicine, this research adds valuable
insights into the seamless integration of AI technologies, laying the groundwork for a more precise, efficient, and patientcentered
healthcare landscape.
Keywords - Medical Diagnosis, Artificial Intelligence (AI), Machine Learning, Natural Language Processor
Type : Research paper
Published : Volume-12,Issue-9
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-21248
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Copyright: © Institute of Research and Journals
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Published on 2025-01-08 |
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