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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | AN IMPROVED LSTM BASED FRAME WORK FOR CARDIOVASCULAR DISEASES RISK PREDICTION IN IMBALANCED HIGH-DIMENSIONAL BIG DATA |
| Authors Name: | Mrs. Lois Priscilla , Ms. O.Priyanka , Ms. G.Ridhinaya , Ms. S.Suruthi |
| Unique Id: | IJSDR2206064 |
| Published In: | Volume 7 Issue 6, June-2022 |
| Abstract: | 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. |
| Keywords: | Improved LSTM, Better Accuracy |
| Cite Article: | " AN IMPROVED LSTM BASED FRAME WORK FOR CARDIOVASCULAR DISEASES RISK PREDICTION IN IMBALANCED HIGH-DIMENSIONAL BIG DATA", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 6, page no.391 - 397, June-2022, Available :http://www.ijsdr.org/papers/IJSDR2206064.pdf |
| Downloads: | 000347000 |
| Publication Details: | Published Paper ID: IJSDR2206064 Registration ID:200634 Published In: Volume 7 Issue 6, June-2022 DOI (Digital Object Identifier): Page No: 391 - 397 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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