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Novel solutions for an old disease: diagnosis of acute appendicitis with random forest, support vector machines, and artificial neural networks.
BACKGROUND Diagnosing acute appendicitis clinically is still difficult. We developed random forests, support vector machines, and artificial neural network models to diagnose acute appendicitis. … Expand
Factors influencing consumer adoption of USB-based Personal Health Records in Taiwan
- W. Jian, S. Syed-Abdul, +5 authors Hsyien-Chia Wen
- BMC Health Services Research
- 27 August 2012
BackgroundUsually patients receive healthcare services from multiple hospitals, and consequently their healthcare data are dispersed over many facilities’ paper and electronic-based record systems.… Expand
Efficacy of omalizumab in patients with atopic dermatitis: A systematic review and meta-analysis.
Gender-based personalized pharmacotherapy: a systematic review
- M. M. Islam, U. Iqbal, +7 authors S. Syed-Abdul
- Archives of Gynecology and Obstetrics
- 4 April 2017
PurposeIn general, male and female are prescribed the same amount of dosage even if most of the cases female required less dosage than male. Physicians are often facing problem on appropriate drug… Expand
An integrative OSCE methodology for enhancing the traditional OSCE program at Taipei medical university ospital - a feasibility study
BackgroundContinuous development and use of new technologies and methodologies are key features in improving the learning, performance, and skills of medical students and students of all health care… Expand
Risk of Hemorrhagic Stroke in Patients Exposed to Nonsteroidal Anti-Inflammatory Drugs: A Meta-Analysis of Observational Studies
- M. M. Islam, T. N. Poly, B. Walther, Hsuan-Chia Yang, Ming-Chin Lin, Y. Li
Background and Aim: Nonsteroidal anti-inflammatory drugs (NSAIDs) are one of the most common pain relief medications, but the risk of hemorrhagic stroke in patients taking these medications is… Expand
Assessment of Deep Learning Using Nonimaging Information and Sequential Medical Records to Develop a Prediction Model for Nonmelanoma Skin Cancer.
Importance A prediction model for new-onset nonmelanoma skin cancer could enhance prevention measures, but few patient data-driven tools exist for more accurate prediction. Objective To use machine… Expand
An automated technique to identify potential inappropriate traditional Chinese medicine (TCM) prescriptions.
PURPOSE Medication errors such as potential inappropriate prescriptions would induce serious adverse drug events to patients. Information technology has the ability to prevent medication errors;… Expand
Patient satisfaction with dermatology teleconsultation by using MedX
- Yao-Chin Wang, Bilegjin Ganzorig, +5 authors Y. Li
- Computer Science, Medicine
- Comput. Methods Programs Biomed.
- 1 December 2018
BACKGROUND The development of telecommunication has strongly affected comprehensive scientific disciplines, including medical sciences. OBJECTIVE This study aims to assess the patient satisfaction… Expand
COVID-19 preventive measures showing an unintended decline in infectious diseases in Taiwan
- Cooper J Galvin, Y. Li, Shwetambara Malwade, S. Syed-Abdul
- International Journal of Infectious Diseases
- 22 June 2020
Abstract Many communicable diseases may have contact, airborne, and/or droplets transmission. Following the COVID-19 outbreak, Taiwan government… Expand