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Early Prediction of Cardiovascular Disease Among Young Adults Through Coronary Artery Calcium Score Technique

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Advances in Computing and Data Sciences (ICACDS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1441))

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Abstract

The diseased heart cases are rapidly increasing in lower age groups in addition to the older people. The paper focuses on the early prediction of CVD (Cardiovascular Disease) among young adults. CAC (Coronary Artery Calcium) score or simply the calcium score technique is used to analyze Cardiac Health across different age intervals among young adults. Cardiac Ailments once used to be considered quite often among old-aged people. But, the research study emphasizes that Cardiovascular Disease no longer develops in older persons only, but is tremendously increasing in young adults too. Research outcomes express that young people are also facing Sudden Cardiac Arrest (SCA). Calcium Score is the key indicator to predict cardiac risk at early stage and is obtained through a non-invasive scan of heart i.e. Computerized Tomography (CT). It is efficient to estimate the heart-blockage due to calcification of coronary arteries resulting to plaque formation. This paper systematically analyzes the calcium scores of the young patients suffering from different cardiac health issues. It also focuses to motivate youth towards keeping track of their calcium score, timely monitoring their physical activities, proper nutrition and maintaining a healthy and quality lifestyle.

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Acknowledgment

The authors extend their heartfelt thanks to Dr. Pawan Sharma, Fortis Noida, Dr. S.N. Srivastava, S.N. Hospital Ranikhet, Max Hospital Ghaziabad and its entire staff, Base Hospital Haldwani, Mrs. Mudita Phartiyal, Mr. Priyanshu Belwal., Mr. Manish Joshi, Dr. Vinod Ojha, Dr. Vijay Upadhyay, Earth Ayurveda Center Ranikhet to provide their valuable support throughout the research journey.

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Authors and Affiliations

  1. Amity University Uttar Pradesh, Noida, India

    Anurag Bhatt & Sanjay Kumar Dubey

  2. Birla Institute of Applied Sciences Bhimtal, Bhimtal, India

    Ashutosh Kumar Bhatt

Authors
  1. Anurag Bhatt
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  2. Sanjay Kumar Dubey
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  3. Ashutosh Kumar Bhatt
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Editors and Affiliations

  1. Consilio Research Lab, Tallinn, Estonia

    Mayank Singh

  2. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  3. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    P. K. Gupta

  4. Institute of Information Theory and Automation, Prague, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. MVPS's Karmaveer Adv. Baburao Ganpatrao Thakare College of Engineering, Nashik, Maharashtra, India

    V. R. Sonawane

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Bhatt, A., Dubey, S.K., Bhatt, A.K. (2021). Early Prediction of Cardiovascular Disease Among Young Adults Through Coronary Artery Calcium Score Technique. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T., Sonawane, V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1441. Springer, Cham. https://doi.org/10.1007/978-3-030-88244-0_29

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  • DOI: https://doi.org/10.1007/978-3-030-88244-0_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88243-3

  • Online ISBN: 978-3-030-88244-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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