|
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 |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| 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: | 000337348 |
| 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 |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijsdr.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
Track Paper
Important Links
Conference Proposal
ISSN
 |
 |
DOI (A digital object identifier)
  Providing A digital object identifier by DOI How to GET DOI and Hard Copy Related |
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2024 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn