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Prediction of Blood Pressure and Diabetes with AI Techniques—A Review

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Inventive Communication and Computational Technologies (ICICCT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 757))

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Abstract

Diabetes and hypertension are the most prevalent and rapidly spreading non-communicable diseases in many nations today. Researchers are striving to prevent and predict diabetes and high blood pressure earlier. Various artificial intelligence models are being used to predict these diseases. The majority of those who have these diseases also have higher rates of complications from heart disease, renal failure, stroke, foot injury, retinopathy, neuropathy, and pregnancy-related problems. In this work, a comprehensive study has been performed, which focuses on prediction of blood pressure and diabetes using machine learning approach. We stress on how artificial intelligence can help diabetes and hypertension prediction by utilizing medical data from different sources. This work will serve as a guideline for future studies that will enable the accurate prediction of diabetes and blood pressure.

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Author information

Authors and Affiliations

  1. Department of Electronics and Instrumentation Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India

    G. R. Ashisha

  2. Department of Robotics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India

    X. Anitha Mary

Authors
  1. G. R. Ashisha
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  2. X. Anitha Mary
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Corresponding author

Correspondence to G. R. Ashisha .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India

    G. Ranganathan

  2. Department of Computer Science (HUMAIN-Lab), International Hellenic University, Thessaloniki, Greece

    George A. Papakostas

  3. Information Systems and Operations Management (ISEG), University of Lisbon, Lisboa, Portugal

    Álvaro Rocha

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ashisha, G.R., Anitha Mary, X. (2023). Prediction of Blood Pressure and Diabetes with AI Techniques—A Review. In: Ranganathan, G., Papakostas, G.A., Rocha, Á. (eds) Inventive Communication and Computational Technologies. ICICCT 2023. Lecture Notes in Networks and Systems, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-99-5166-6_51

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