Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort.
Khader ShameerKipp W. JohnsonAlexandre YahiRiccardo MiottoLi LiDoran RicksJebakumar JebakaranPatricia A. KovatchPartho P. SenguptaAnnetine GelijnsAlan MoskovitzBruce DarrowDavid L. ReichAndrew KasarskisNicholas P. TatonettiDeborah F. PinneyJoel T. DudleyPublished in: PSB (2017)
Keyphrases
- predictive modeling
- heart failure
- health care
- electronic medical record
- machine learning
- medical records
- clinical data
- knowledge discovery
- data mining
- statistical modeling
- text mining
- clinical decision support systems
- data mining methods
- patient care
- information systems
- data analysis
- electronic health records
- heart disease
- data mining techniques
- chronic disease
- knowledge representation
- knowledge acquisition
- computer vision
- decision support
- medical data
- big data
- machine learning methods
- business intelligence
- natural language processing
- association rules
- case study
- decision trees
- data sets
- database
- natural language
- real world