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  Published Paper Details:

  Paper Title

DEEP LEARNING TECHNIQUES TO PREDICT SEVERITY OF CARDIAC ARREST IN DIABETIC PATIENTS

  Authors

  Ketan Gupta

  Keywords

Cardiac Arrest, Deep Leaning, Diabetes, Blood Pressure, Cardiac Death

  Abstract


The incidence of cardiac arrest and sudden cardiac death is increasing across the country. Meanwhile, diabetes are at twice the risk. The incidence of cardiac arrest and sudden cardiac death is on the rise across the country, and even young adults who lead healthy lifestyles are sometimes suffering from hidden heart problems with no symptoms. Sedentary lifestyle and problems like stress are dangerous for heart health and COVID-19 plays a major role in weakening hearts. People with diabetes have twice the risk of cardiac arrest or stroke compared to people who do not suffer from the metabolic disorder. In this paper, Deep Learning Techniques has discussed to Predict Severity of Cardiac Arrest in Diabetic Patients. When diabetes takes its toll, heart health deteriorates and one becomes susceptible to sudden cardiac events. Over time, high blood sugar can damage blood vessels and heart nerves. Diabetics also often have other complications with the disease, such as high blood pressure, which can further affect heart function. So, if you have diabetes and your blood sugar levels are often out of control, your heart is likely to be affected and it is important that you make the right lifestyle changes. Eating healthy, being active and reducing stress can help people with diabetes not only maintain healthy blood sugar levels but also maintain optimal heart health.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2302029

  Paper ID - 230584

  Page Number(s) - a268-a275

  Pubished in - Volume 11 | Issue 2 | February 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ketan Gupta,   "DEEP LEARNING TECHNIQUES TO PREDICT SEVERITY OF CARDIAC ARREST IN DIABETIC PATIENTS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 2, pp.a268-a275, February 2023, Available at :http://www.ijcrt.org/papers/IJCRT2302029.pdf

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ISSN: 2320-2882
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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