Stevens-Johnson syndrome and toxic epidermal necrolysis: a systematic review of PubMed/MEDLINE case reports from 1980 to 2020

L Wang, S Varghese, F Bassir, YC Lo, CA Ortega… - Frontiers in …, 2022 - frontiersin.org
Background Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are
rare, life-threatening immunologic reactions. Prior studies using electronic health records …

An improved support vector machine-based diabetic readmission prediction

S Cui, D Wang, Y Wang, PW Yu, Y Jin - Computer methods and programs …, 2018 - Elsevier
Background and objective In healthcare systems, the cost of unplanned readmission
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

F Bassir, S Varghese, L Wang, YP Chin… - Immunology and allergy …, 2022 - Elsevier
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) …

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 …

Sequence mining and prediction-based healthcare fraud detection methodology

I Matloob, SA Khan, HU Rahman - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

Improved diagnosis-medication association mining to reduce pseudo-associations

CH Wang, PA Nguyen, YCJ Li, MM Islam… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objective Association rule mining has been adopted to medical
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 …

A novel tool for visualizing chronic kidney disease associated polymorbidity: a 13-year cohort study in Taiwan

CW Huang, S Syed-Abdul, WS Jian… - Journal of the …, 2015 - academic.oup.com
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 …

[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 …

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 …