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Analytics of Machine Learning in Healthcare Industries

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Smart Trends in Computing and Communications (SmartCom 2024 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 948))

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Abstract

The fusion of machine learning (ML) and analytics has brought about a profound revolution in the healthcare sector. This transformation has ushered in innovative solutions aimed at enhancing patient outcomes, streamlining operational processes, and mitigating costs. This paper provides an insight of the predominant themes and discoveries within the realm of ML analytics applied in healthcare industries. ML models have found extensive utility across a spectrum of healthcare functions, spanning disease diagnosis and prognosis, the tailoring of personalized treatment regimens, expedited drug discovery, and the optimization of healthcare resource utilization. The capacity to extract invaluable insights from vast datasets empowers healthcare practitioners with the tools needed to deliver care that is more individualized and timely to patients. Additionally, the application of ML analytics in healthcare extends beyond the clinical realm. It has proven to be instrumental in healthcare administration by optimizing resource allocation, curbing readmission rates, and curbing instances of fraudulent activities and billing errors. Through the analysis of historical data, ML models aid in predicting patient admissions and ascertaining resource demands, thereby enabling healthcare organizations to operate with greater efficiency and cost-effectiveness.

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Authors and Affiliations

  1. Department of Computer Science, B N University, Udaipur, India

    Mahipal Singh Deora

Authors
  1. Mahipal Singh Deora
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Correspondence to Mahipal Singh Deora .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of the Ryukyus, Nishihara, Okinawa, Japan

    Tomonobu Senjyu

  2. College of Computing, Khon Kaen University, Khon Kaen, Thailand

    Chakchai So–In

  3. Global Knowledge Research Foundation, Ahmedabad, Gujarat, India

    Amit Joshi

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Deora, M.S. (2024). Analytics of Machine Learning in Healthcare Industries. In: Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SmartCom 2024 2024. Lecture Notes in Networks and Systems, vol 948. Springer, Singapore. https://doi.org/10.1007/978-981-97-1329-5_1

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