Stevens-Johnson syndrome and toxic epidermal necrolysis: a systematic review of PubMed/MEDLINE case reports from 1980 to 2020
Background Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are
rare, life-threatening immunologic reactions. Prior studies using electronic health records …
rare, life-threatening immunologic reactions. Prior studies using electronic health records …
An improved support vector machine-based diabetic readmission prediction
Background and objective In healthcare systems, the cost of unplanned readmission
accounts for a large proportion of total hospital payment. Hospital-specific readmission rate …
accounts for a large proportion of total hospital payment. Hospital-specific readmission rate …
[PDF][PDF] The use of electronic health records to study drug-induced hypersensitivity reactions from 2000 to 2021: a systematic review
Results We identified a total of 433 articles through our database search and included 140
articles in this systematic review (Fig. 1). Six main research topics were identified:(1) …
articles in this systematic review (Fig. 1). Six main research topics were identified:(1) …
A sequence mining-based novel architecture for detecting fraudulent transactions in healthcare systems
I Matloob, SA Khan, R Rukaiya, MAK Khattak… - IEEE …, 2022 - ieeexplore.ieee.org
With the exponential rise in government and private health-supported schemes, the number
of fraudulent billing cases is also increasing. Detection of fraudulent transactions in …
of fraudulent billing cases is also increasing. Detection of fraudulent transactions in …
Sequence mining and prediction-based healthcare fraud detection methodology
This article presents a novel methodology to detect insurance claim related frauds in the
healthcare system using concepts of sequence mining and sequence prediction. Fraud …
healthcare system using concepts of sequence mining and sequence prediction. Fraud …
Improved diagnosis-medication association mining to reduce pseudo-associations
Abstract Background and Objective Association rule mining has been adopted to medical
fields to discover prescribing patterns or relationships among diseases and/or medications; …
fields to discover prescribing patterns or relationships among diseases and/or medications; …
Applying mutual information for discretization to support the discovery of rare-unusual association rule in cerebrovascular examination dataset
CP Wulandari, C Ou-Yang, HC Wang - Expert Systems with Applications, 2019 - Elsevier
In knowledge discovery studies, association rules mining has been extensively studied to
discover hidden knowledge and relationships among set of items in a transactional dataset …
discover hidden knowledge and relationships among set of items in a transactional dataset …
A novel tool for visualizing chronic kidney disease associated polymorbidity: a 13-year cohort study in Taiwan
Objective The aim of this study is to analyze and visualize the polymorbidity associated with
chronic kidney disease (CKD). The study shows diseases associated with CKD before and …
chronic kidney disease (CKD). The study shows diseases associated with CKD before and …
[HTML][HTML] A simple versatile solution for collecting multidimensional clinical data based on the CakePHP web application framework
M Biermann - Computer methods and programs in biomedicine, 2014 - Elsevier
Clinical trials aiming for regulatory approval of a therapeutic agent must be conducted
according to Good Clinical Practice (GCP). Clinical Data Management Systems (CDMS) are …
according to Good Clinical Practice (GCP). Clinical Data Management Systems (CDMS) are …
Applying sequential pattern mining to investigate cerebrovascular health outpatients' re-visit patterns
C Ou-Yang, CP Wulandari, RAR Hariadi, HC Wang… - PeerJ, 2018 - peerj.com
Background and Objective Increases in outpatients seeking medical check-ups are
expanding the number of health examination data records, which can be utilized for medical …
expanding the number of health examination data records, which can be utilized for medical …