Survey on visual analysis of event sequence data
Event sequence data record series of discrete events in the time order of occurrence. They
are commonly observed in a variety of applications ranging from electronic health records to …
are commonly observed in a variety of applications ranging from electronic health records to …
Process mining applications in the healthcare domain: A comprehensive review
Process mining (PM) is a well‐known research area that includes techniques,
methodologies, and tools for analyzing processes in a variety of application domains. In the …
methodologies, and tools for analyzing processes in a variety of application domains. In the …
Big data analytics in healthcare
A vast volume of digitized clinical data has been generated and accumulated rapidly since
the widespread adoption of Electronic Medical Records (EMRs). These big data in …
the widespread adoption of Electronic Medical Records (EMRs). These big data in …
Systematic map** of process mining studies in healthcare
In the last decade, as an emerging technique for business processes management, process
mining (PM) has been applied in many domains, including manufacturing, supply-chain …
mining (PM) has been applied in many domains, including manufacturing, supply-chain …
Electronic health records for the diagnosis of rare diseases
With the emergence of electronic health records, the reuse of clinical data offers new
perspectives for the diagnosis and management of patients with rare diseases. However …
perspectives for the diagnosis and management of patients with rare diseases. However …
Co** with volume and variety in temporal event sequences: Strategies for sharpening analytic focus
The growing volume and variety of data presents both opportunities and challenges for
visual analytics. Addressing these challenges is needed for big data to provide valuable …
visual analytics. Addressing these challenges is needed for big data to provide valuable …
DPVis: Visual analytics with hidden markov models for disease progression pathways
Clinical researchers use disease progression models to understand patient status and
characterize progression patterns from longitudinal health records. One approach for …
characterize progression patterns from longitudinal health records. One approach for …
Clinical and operational insights from data-driven care pathway map**: a systematic review
Background Accumulated electronic data from a wide variety of clinical settings has been
processed using a range of informatics methods to determine the sequence of care activities …
processed using a range of informatics methods to determine the sequence of care activities …
Exploring the potential of OMOP common data model for process mining in healthcare
Background and objective Recently, Electronic Health Records (EHR) are increasingly
being converted to Common Data Models (CDMs), a database schema designed to provide …
being converted to Common Data Models (CDMs), a database schema designed to provide …
Clinical care pathway strenghens interprofessional collaboration and quality of health service: a literature review
Objective To review the effectiveness of a clinical care pathway on interprofessional
collaboration and quality of health service. Method A review was performed of literature …
collaboration and quality of health service. Method A review was performed of literature …