Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records.
Li HuangAndrew L. SheaHuining QianAditya MasurkarHao DengDianbo LiuPublished in: J. Biomed. Informatics (2019)
Keyphrases
- electronic medical record
- machine learning
- health care
- patient data
- clinical data
- medical records
- intensive care
- patient outcomes
- medical data
- electronic health records
- health care services
- intensive care unit
- surveillance system
- patient care
- clustering algorithm
- cluster analysis
- distributed data
- k means
- knowledge discovery
- machine learning methods
- biological data
- clinical trials
- data mining
- information retrieval
- knowledge acquisition
- knowledge representation
- data analysis
- expert systems
- natural language processing
- open source