Predictive analysis effectiveness in determining the epidemic disease infected area-Reference-Cited by-同舟云学术

Predictive analysis effectiveness in determining the epidemic disease infected area

Published:2017 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
language:
Short-container-title:

Author:

Ibrahim Najihah,Akhir Nur Shazwani Md.,Hassan Fadratul Hafinaz

Publisher

Author(s)

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5005397

Reference10 articles.

1. Predicting Influenza Infections during Epidemics with Use of a Clinical Case Definition

2. Deep Learning for Health Informatics

3. Global climate change and infectious diseases.

4. Global Climate Change and Infectious Diseases

5. Sadilek, A., H. Kautz, and V. Silenzio, Predicting Disease Transmission from Geo-Tagged Micro-Blog Data, in Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence. 2012, AAAI Press: Toronto, Ontario, Canada. p. 136–142.

Cited by 11 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. Leveraging IoT and Machine Learning for Improved Health Prediction Systems;Practice, Progress, and Proficiency in Sustainability;2024-01-05

2. Traditional Machine Learning based on Atmospheric Conditions for Prediction of Dengue Presence;Computación y Sistemas;2023-09-29

3. Avian Influenza Prediction Using Machine Learning;Innovations in Computer Science and Engineering;2023

4. Impact ofIoTin Biomedical Applications Using Machine and Deep Learning;Machine Learning Algorithms for Signal and Image Processing;2022-11-18

5. Trends in using IoT with machine learning in smart health assessment;International journal of health sciences;2022-04-22