Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
Huazhong University of Science and Technology · University of Southern California
Abstract
With big data growth in biomedical and healthcare communities, accurate analysis of medical data benefits early disease detection, patient care, and community services. However, the analysis accuracy is reduced when the quality of medical data is incomplete. Moreover, different regions exhibit unique characteristics of certain regional diseases, which may weaken the prediction of disease outbreaks. In this paper, we streamline machine learning algorithms for effective prediction of chronic disease outbreak in disease-frequent communities. We experiment the modified prediction models over real-life hospital data collected from central China in 2013-2015. To overcome the difficulty of incomplete data, we use a…
Citation impact
- FWCI
- 207.31
- Percentile
- 100%
- References
- 33
Authors
5Topics & keywords
- Computer science
- Big data
- Machine learning
- Disease
- Convolutional neural network
- Artificial intelligence
- Predictive analytics
- Data modeling