AN IMPROVED LSTM BASED FRAME WORK FOR CARDIOVASCULAR DISEASES RISK PREDICTION IN IMBALANCED HIGH-DIMENSIONAL BIG DATA

Mrs. Lois Priscilla , Ms. O.Priyanka , Ms. G.Ridhinaya , Ms. S.Suruthi

Improved LSTM, Better Accuracy

Cardiovascular illnesses are taken into consideration because the most Life-threatening condition with the very first rate. We were given end up very now no unusual place with inside the imply time are countries' healthcare systems are being overstretched. Excessive blood pressure, a personal family history, stress, age, gender, cholesterol, Body Mass Index (BMI), and a poor lifestyle are the leading causes of cardiovascular disease. Researchers have proposed a number of early diagnosis procedures based on these aspects. However, because of the intrinsic criticality and life-threatening hazards of cardiovascular diseases, the accuracy of proposed techniques and strategies has to be greatly improved. In this paper, a totally risk prediction technique based on improved Long-Short .The consequences are in comparison with the ones supplied with the aid of using device studying algorithms the use of complete set of features. Experimental consequences display that LSTM outperforms different fashions and achieves better accuracy price with prediction of coronary heart patient`s survival.

Published Paper   E-Certificate

" AN IMPROVED LSTM BASED FRAME WORK FOR CARDIOVASCULAR DISEASES RISK PREDICTION IN IMBALANCED HIGH-DIMENSIONAL BIG DATA", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 6, page no.391 - 397, June-2022, Available :https://ijsdr.org/papers/IJSDR2206064.pdf

Volume 7 Issue 6, June-2022

Pages : 391 - 397

Paper Reg. ID: IJSDR_200634

Published Paper Id: IJSDR2206064

Downloads: 000347080

Research Area: Electronics & Communication Engg. 

Country: Chennai, Tamilnadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2206064

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2206064

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition