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Cloud and Machine Learning Based Solutions for Healthcare and Prevention

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Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices

Abstract

The usage of artificial intelligence (AI) and machine training technologies has also improved quickly during this era of fast-cloud adoption. These technologies have transformed and continue to play a vital role well beyond the epidemic, from the exchange and analysis of information without compromising privacy to ensuring that patients with the most urgent need are responded to as soon as possible. This kind of open platform solutions, placed on the top of current source systems, may enable in-house data transformation and transfer, batch loading and analysis. This method allows data from a variety of sources to be integrated in real time and allows the correct information in the process to be provided at the appropriate moment. With health care institutions gathering more data, customers are looking for health and care information. Patients do not know specifics of doctor’s orders at a hospital, how much care will be expensive for them, such as diabetes, may play in recovery time. Healthcare is not transparent. Patients tend to have difficulty in getting their own health records as they can comprehend and integrate them with other doctors’ data. This chapter examines the latest cloud with AI adoption in healthcare. Because today’s issue is data privacy in computing world. Due to pandemic critical issue it is not most important to protect every patient’s data. After that we will provide the latest technological issues and solution towards the healthcare.

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Author information

Authors and Affiliations

  1. Department of Computer Science, ILMA University Karachi, Karachi, Sindh, Pakistan

    Awais Khan Jumani

  2. School of Electronic and Information Communication Engineering, South China University of Technology (SCUT), Guangzhou, China

    Awais Khan Jumani

  3. Department of Computer Science, Millennium Institute of Technology and Entrepreneurship - MiTE University, Karachi, Pakistan

    Waqas Ahmed Siddique

  4. Department of Computer Science, Sindh Madressatul Islam University, Karachi, Sindh, Pakistan

    Asif Ali Laghari

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  1. Awais Khan Jumani
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  2. Waqas Ahmed Siddique
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  3. Asif Ali Laghari
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Editor information

Editors and Affiliations

  1. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Rajeev Tiwari

  2. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Deepika Koundal

  3. School of Health Sciences and Technology, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Shuchi Upadhyay

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Jumani, A.K., Siddique, W.A., Laghari, A.A. (2023). Cloud and Machine Learning Based Solutions for Healthcare and Prevention. In: Tiwari, R., Koundal, D., Upadhyay, S. (eds) Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices. Springer, Cham. https://doi.org/10.1007/978-3-031-22959-6_10

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