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Data Analysis and Classification of Cardiovascular Disease and Risk Factors Associated with It in India

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Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare

Part of the book series: Studies in Computational Intelligence ((SCI,volume 875))

Abstract

Cardiovascular disease (CVD) is one of the genuine reasons behind mortality in India and around the globe. A high measure of sodium, high circulatory strain, extend, smoking, family parentage and a few different variables are related to heart illnesses. Air and Noise Pollution is also worst in India and is likely to cause more deaths, amongst the top five causes of deaths worldwide, are the heart, COPD, lower respiratory infections, and lung cancer. In India absence of information, and treatment facilities in that of rural and urban zones are the critical issue of concern. Youths have more chances of getting impacted with CVD, due to alcohol usage, smoking, and unfortunate eating routine. In the future, in India by 2030, the prevalence rate might rise to two-fold than 2018. This overview goes for researching progressing propels in understanding the investigation of infection transmission of CVD, causes and the hazard factors related to it. One of the continuous patterns in cardiology at present is the proposed use of man-made consciousness (AI) in increasing and broadening the adequacy of the cardiologist. This is on the grounds that AI or AI would take into consideration an exact proportion of patient working and conclusion from the earliest starting point up to the part of the bargain procedure. Specifically, the utilization of computerized reasoning in cardiology plans to concentrate on innovative work, clinical practice, and populace wellbeing. Made to be an across the board instrument in cardiovascular social insurance, AI innovations consolidate complex calculations in deciding significant advances required for a fruitful finding and treatment. The job of man-made reasoning explicitly reaches out to the recognizable proof of novel medication treatments, illness stratification or insights, persistent remote observing and diagnostics, reconciliation of multi-omic information, and expansion of doctor effectivity and effectiveness. Virtual reality developed during the 1990s in the realm of computer games and has been gradually crawling into medication from that point onward. Today, several specialists are investigating how VR can help treat everything from agoraphobia to consume wounds to stroke. Research recommends utilizing an augmented experience interface can help improve development and coordination of the arms, hands and fingers in stroke survivors.

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Author information

Authors and Affiliations

  1. University of Leicester, Leicester, UK

    Sonia Singla

  2. Savitribai Phule Pune University, Pune, India

    Sanket Sathe

  3. Kalyani Government Engineering College, Kalyani, India

    Pinaki Nath Chowdhury

  4. School of Biotechnology and Bioinformatics, D.Y. Patil University, Navi Mumbai, India

    Suman Mishra

  5. Translational Health Science and Technology Institute, Faridabad, Haryana, India

    Dhirendra Kumar

  6. MIMER Medical College, Talegaon Dabhade, India

    Meenakshi Pawar

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  1. Sonia Singla
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  2. Sanket Sathe
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  4. Suman Mishra
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  5. Dhirendra Kumar
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Correspondence to Sonia Singla .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, New Delhi, India

    Deepak Gupta

  2. Faculty of Computers and Information, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  3. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, New Delhi, India

    Ashish Khanna

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Singla, S., Sathe, S., Chowdhury, P.N., Mishra, S., Kumar, D., Pawar, M. (2020). Data Analysis and Classification of Cardiovascular Disease and Risk Factors Associated with It in India. In: Gupta, D., Hassanien, A., Khanna, A. (eds) Advanced Computational Intelligence Techniques for Virtual Reality in Healthcare. Studies in Computational Intelligence, vol 875. Springer, Cham. https://doi.org/10.1007/978-3-030-35252-3_11

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