Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets
نویسندگان
چکیده
منابع مشابه
Data-Driven Approaches to Improve the Quality of Clinical Processes: A Systematic Review
Background: Considering the emergence of electronic health records and their related technologies, an increasing attention is paid to data driven approaches like machine learning, data mining, and process mining. The aim of this paper was to identify and classify these approaches to enhance the quality of clinical processes. Methods: In order to determine the knowledge related to the research ...
متن کاملData Mining in Clinical Data Sets: A Review
Data mining is one of the extensively researched areas in computer science and information technology owing to the wide influence exhibited by this computational technique on diverse fields that include finance, clinical research, multimedia, education and the like. Adequate survey and literature has been devoted to Clinical data mining, an active interdisciplinary area of research that is cons...
متن کاملPaving the COWpath: data-driven design of pediatric order sets.
OBJECTIVE Evidence indicates that users incur significant physical and cognitive costs in the use of order sets, a core feature of computerized provider order entry systems. This paper develops data-driven approaches for automating the construction of order sets that match closely with user preferences and workflow while minimizing physical and cognitive workload. MATERIALS AND METHODS We dev...
متن کاملEnhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining
This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...
متن کاملPredicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets
Objective Build probabilistic topic model representations of hospital admissions processes and compare the ability of such models to predict clinical order patterns as compared to preconstructed order sets. Materials and Methods The authors evaluated the first 24 hours of structured electronic health record data for > 10 K inpatients. Drawing an analogy between structured items (e.g., clinica...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Medical Informatics
سال: 2017
ISSN: 1386-5056
DOI: 10.1016/j.ijmedinf.2017.03.006