Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records.
Li HuangDianbo LiuPublished in: CoRR (2019)
Keyphrases
- electronic medical record
- machine learning
- health care
- medical records
- clinical data
- patient data
- intensive care
- electronic health records
- medical data
- patient outcomes
- intensive care unit
- surveillance system
- clustering algorithm
- health care services
- patient care
- distributed data
- k means
- open source
- data mining
- free text
- cluster analysis
- statistical analysis
- natural language processing
- machine learning methods
- information extraction
- knowledge discovery
- information systems
- computer vision
- raw data
- text mining
- sensitive information
- data sources
- medical images
- data analysis
- medical practice
- knowledge acquisition