A Novel Approach Towards Automated Disease Predictor System Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

A Novel Approach Towards Automated Disease Predictor System Using Machine Learning Algorithms

Published:2023 Issue: Volume: Page:179-190
ISSN:2367-3370
Container-title:Emerging Trends in Expert Applications and Security
language:
Short-container-title:

Author:

Sille Roohi^ORCID,Sharma Bhumika,Choudhury Tanupriya^ORCID,Perumal Thinagaran

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-1946-8_17

Reference9 articles.

1. Willett WC (2002) Balancing life-style and genomics research for disease prevention. Science 296(5568):695–698

2. Choudhury T, Kumar V, Nigam D (2014) An innovative smart soft computing methodology towards disease (cancer, heart disease, arthritis) detection in an earlier stage and in a smarter way. Int J Comput Sci Mob Comput 3(4):368–388

3. Sivakami M, Prabhu P (2021) Classification of algorithms supported factual knowledge recovery from cardiac data set. Int J Curr Res Rev 13(6):161–166

4. Prabhu P, Selvabharathi S (2019) Deep belief neural network model for prediction of diabetes mellitus. In: 2019 3rd international conference on imaging, signal processing and communication (ICISPC). IEEE, pp 138–142

5. Dahiwade D, Patle G, Meshram E (2019) Designing disease prediction model using machine learning approach. In: 2019 3rd international conference on computing methodologies and communication (ICCMC). IEEE, pp 1211–1215

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automation in Vehicle Tracking Through RFID & Bar Code System;2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2023-10-26