Machine learning for administrative health records: A systematic review of techniques and applications
Abstract Machine learning provides many powerful and effective techniques for analysing
heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a …
heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a …
xPM: Enhancing exogenous data visibility
Process mining is a well-established discipline with applications in many industry sectors,
including healthcare. To date, few publications have considered the context in which …
including healthcare. To date, few publications have considered the context in which …
Clinical Pathways and Hierarchical Clustering for Tuberculosis Treatment Outcome Prediction
Clinical pathways are chronological event series that happen throughout a patient's
treatment. They can be extracted from the Electronic Health Record medical information and …
treatment. They can be extracted from the Electronic Health Record medical information and …
Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases
Unlike the primary condition under investigation, the term comorbidities define coexisting
medical conditions that influence patient care during detection, therapy, and outcome …
medical conditions that influence patient care during detection, therapy, and outcome …