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Efficient Performance of Data Science Application in Medical Field

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International Conference on Computing, Communication, Electrical and Biomedical Systems

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

With rapid technological developments in the data science, there is massive quantity of information through big data analytics of greatest wonders. A special case of machine learning algorithms has been implemented in order to solve for the basic topic of healthcare diagnosis under the past decades which has been acquired greatest potential in the world. Generally, in the industry and public sector level, the source of obtaining the data for prognostics generated, stored, and analyzed data to enhance the services required for the application. Among various medical care productions, the resources for the analysis made by collecting the data are done through the records of the hospital, medical scripts, patients in and out data, examinations, and observation notes, and all come under the part of different devices as a category of Internet of things (IoT). In public-based healthcare, there is significant fraction of data analytical for the research relevant for the information for meaningful outcome together with the data that necessitates appropriate administration and assessment to compute the analysis. This study realizes the importance of data science and their insights toward the medical management and estimation of various performance factors to be built for the higher degree of nonlinearity in the diagnosis related to healthcare.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India

    Praveen S. R. Konduri & G. Siva Nageswara Rao

Authors
  1. Praveen S. R. Konduri
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  2. G. Siva Nageswara Rao
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Editor information

Editors and Affiliations

  1. Department of CSE, Presidency University, Bangalore, Bangalore, India

    Arulmurugan Ramu

  2. Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia

    Chow Chee Onn

  3. KPR Institute of Engineering and Technology, Arasur, India

    M.G. Sumithra

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Konduri, P.S.R., Siva Nageswara Rao, G. (2022). Efficient Performance of Data Science Application in Medical Field. In: Ramu, A., Chee Onn, C., Sumithra, M. (eds) International Conference on Computing, Communication, Electrical and Biomedical Systems. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-86165-0_28

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  • DOI: https://doi.org/10.1007/978-3-030-86165-0_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86164-3

  • Online ISBN: 978-3-030-86165-0

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