THE INFLUENCE OF MACHINE LEARNING IN HEALTHCARE INNOVATIONS

Authors

  • Rasulov Xusen Rustamovich Asia International University, teacher of the “Medical Informatics and Data Science” department

Keywords:

Machine Learning, Healthcare, Artificial Intelligence, Data Science, Predictive Analytics, Medical Imaging, EHR, Explainable AI, IoT

Abstract

This extended research paper explores the growing influence of Machine Learning (ML) in the healthcare sector. ML enables data-driven insights that improve diagnostic accuracy, optimize treatment plans, and enhance patient care. It empowers healthcare professionals to make predictive and preventive decisions by analyzing large and complex datasets. The paper discusses the theoretical background of ML, its diverse applications, real-world case studies, challenges, ethical implications, and future trends including Explainable AI and integration with Internet of Things (IoT) devices.

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References

Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again.

Rajkomar, A., et al. (2018). Scalable and accurate deep learning for electronic health records. NPJ Digital Medicine.

Esteva, A., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature.

Miotto, R., et al. (2016). Deep patient: Predicting the future of patients from electronic health records. Scientific Reports.

Johnson, A.E.W., et al. (2016). MIMIC-III: A freely accessible critical care database. Scientific Data.

Chen, M., Mao, S., & Liu, Y. (2014). Big Data: A Survey. Springer.

WHO. (2023). Artificial Intelligence in Health: Governance and Ethics. World Health Organization.

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Published

2025-10-15

How to Cite

Rasulov Xusen Rustamovich. (2025). THE INFLUENCE OF MACHINE LEARNING IN HEALTHCARE INNOVATIONS. Journal of Applied Science and Social Science, 15(10), 714–717. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/2101

Issue

Vol. 15 No. 10 (2025): Volume 15 Issue 10

Section

Articles

License

Creative Commons License

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