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@article{163889,
        author = {ARNAB DAS},
        title = {Advancements in Healthcare through Machine Learning: A Comprehensive Overview of Tools and Applications},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {2927-2934},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163889},
        abstract = {Machine learning (ML) has emerged as a powerful tool in healthcare, offering promising solutions to various challenges in medical diagnosis, treatment planning, and patient care. This paper provides an overview of the tools and applications of machine learning in healthcare. We explore popular ML tools such as Weka, RStudio, MATLAB, and Python, discussing their features and capabilities. Additionally, we review the parameters involved in machine learning models and highlight key applications across different areas of healthcare. Through this comprehensive analysis, we aim to demonstrate the significant impact of ML in revolutionizing healthcare delivery and improving patient outcomes.},
        keywords = {Machine Learning, Healthcare, Tools, Applications, Medical Imaging, Disease Diagnosis, Drug Discovery, Personalized Medicine, HealthCare Management, Feature Selection},
        month = {},
        }