Machine Learning Models for Life Expectancy-Reference-Cited by-同舟云学术

Machine Learning Models for Life Expectancy

Published:2023-04-21 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Artificial Intelligence and Applications (ICAIA) Alliance Technology Conference (ATCON-1)
language:
Short-container-title:

Author:

Jalan Deepanshi¹,Tuli Anandita¹,Chaudhary Vanshika¹,Sharma Nonita²,Rakhra Manik³

Affiliation:

1. Indira Gandhi DTU for Women,Department of Electronics and Communication with AI,Delhi,India

2. Indira Gandhi DTU for Women,Department of Information Technology,Delhi,India

3. Lovely Professional University,Department of Computer Science and Engineering,Phagwara,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169127/10169124/10169737.pdf?arnumber=10169737

Reference17 articles.

1. A Proposal for Life Expectancy Analysis using Machine Learning Techniques

2. A Literature Review of Using Machine Learning in Software Development Life Cycle Stages

3. Rainfall Prediction using Different Machine Learning and Deep Learning Algorithms

4. Life Expectancy: Prediction & Analysis using ML

5. Risk prediction in life insurance industry using supervised learning algorithms

Cited by 4 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. Improving Insider Threat Detection with User and Role-Based Behavior;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

2. Hybrid Cryptography in Cloud Computing;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

3. Advancements in Lightweight Cryptography: Secure Solutions for Resource-Constrained Environments in IoT, WSNs, and CPS;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

4. A Comprehensive Feature Engineering Approach for Breast Cancer Dataset;EAI Endorsed Transactions on Pervasive Health and Technology;2024-03-07