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Challenges Encountered in the Implementation of Machine Learning in the Healthcare Industry

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Machine Learning and Big Data Analytics (ICMLBDA 2022)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 401))

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Abstract

Healthcare is one of the fastest-growing industries today, and it is in the midst of a massive global overhaul and transformation. Machine learning (ML) is a data analytics method that automates model building in model development. Deep learning and ML algorithms are increasingly assisting doctors in diagnosing and prescribing the most effective treatment. This research aims to investigate the challenges that have arisen due to the adoption of ML in the healthcare industry. The motivation behind this research is to identify the challenges that are acting as a roadblock to ML adoption in the healthcare, as ML adoption can change the face of healthcare industries. Five challenges are identified from the literature, and these challenges are tested empirically. This study finds that the healthcare sectors face the challenges addressed in the chapter. This study will help the ML service providers address these challenges and find a possible solution. In future if the problems identified in this research can be solved, then it will be a turning point in the sector of healthcare.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, GITAM Institute of Technology, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India

    Rita Roy

  2. Department of Operations, GITAM SCHOOL OF BUSINESS, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India

    Subhodeep Mukherjee & Manish Mohan Baral

  3. Department of Computer Science, Lovely Professional University, Phagwara, Punjab, India

    Ajay Kumar Badhan

  4. Infosys, Hydrebad, Telangana, India

    Marada Ravindra

Authors
  1. Rita Roy
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  2. Subhodeep Mukherjee
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  3. Manish Mohan Baral
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  4. Ajay Kumar Badhan
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  5. Marada Ravindra
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science & Engineering, Indian Institute of Technology Patna, Patna, Bihar, India

    Rajiv Misra

  2. Cardiff University, Cardiff, UK

    Rana Omer

  3. Dept. of EE Engineering, University of London, London, UK

    Muttukrishnan Rajarajan

  4. Dept. of ECE, National University of Singapore, Singapore, Singapore

    Bharadwaj Veeravalli

  5. Dept. of Computer Science, Central University of Rajasthan, Tehsil Kishangarh, Rajasthan, India

    Nishtha Kesswani

  6. Dept. of CSE, Indian Institute of Information Technology, Kota, Jawahar Lal Nehru Marg, Rajasthan, India

    Priyanka Mishra

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Cite this paper

Roy, R., Mukherjee, S., Baral, M.M., Badhan, A.K., Ravindra, M. (2023). Challenges Encountered in the Implementation of Machine Learning in the Healthcare Industry. In: Misra, R., Omer, R., Rajarajan, M., Veeravalli, B., Kesswani, N., Mishra, P. (eds) Machine Learning and Big Data Analytics. ICMLBDA 2022. Springer Proceedings in Mathematics & Statistics, vol 401. Springer, Cham. https://doi.org/10.1007/978-3-031-15175-0_31

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