AIMC Topic: Taiwan
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Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system.
Journal of environmental management
Mar 7, 2025
The escalating impacts of climate change have intensified extreme rainfall events, placing urban drainage systems under unprecedented pressure and increasing flood risks. Addressing these challenges requires advanced flood mitigation strategies, opti...
Application of deep learning for fruit defect recognition in Psidium guajava L.
Scientific reports
Feb 20, 2025
Psidium guajava L. is an important tropical and subtropical fruit. Due to its geographical location and suitable climate, Taiwan produces Psidium guajava L. all year round. Quality standardization is therefore a crucial issue. The primary objective w...
Application of Clinical Department-Specific AI-Assisted Coding Using Taiwan Diagnosis-Related Groups: Retrospective Validation Study.
JMIR human factors
Feb 12, 2025
BACKGROUND: The accuracy of the ICD-10-CM (International Classification of Diseases, Tenth Revision, Clinical Modification) procedure coding system (PCS) is crucial for generating correct Taiwan diagnosis-related groups (DRGs), as coding errors can l...
Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation.
BMC medical informatics and decision making
Jan 24, 2025
BACKGROUND: In medical education, enhancing thinking skills is vital. The Virtual Diagnosis and Treatment Platform (VP) refines medical students' diagnostic abilities through interactive patient interviews (simulated patient interactions). By analyzi...
Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection.
BMC health services research
Jan 20, 2025
Revascularization therapies, such as percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG), alleviate symptoms and treat myocardial ischemia. Patients with multivessel disease, particularly those undergoing 3-vessel PCI,...
Exploring artificial intelligence literacy and the use of ChatGPT and copilot in instruction on nursing academic report writing.
Nurse education today
Jan 14, 2025
BACKGROUND: Nursing education increasingly emphasizes academic writing and communication, critical for delivering quality patient care and professional advancement. Rapidly emerging artificial intelligence (AI) tools such as ChatGPT and Copilot are t...
Enhancing generalization in a Kawasaki Disease prediction model using data augmentation: Cross-validation of patients from two major hospitals in Taiwan.
PloS one
Dec 31, 2024
Kawasaki Disease (KD) is a rare febrile illness affecting infants and young children, potentially leading to coronary artery complications and, in severe cases, mortality if untreated. However, KD is frequently misdiagnosed as a common fever in clini...
ECG-based machine learning model for AF identification in patients with first ischemic stroke.
International journal of stroke : official journal of the International Stroke Society
Dec 13, 2024
BACKGROUND: The recurrence rate of strokes associated with atrial fibrillation (AF) can be substantially reduced through the administration of oral anticoagulants. However, previous studies have not demonstrated a clear benefit from the universal app...
Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach.
Journal of medical Internet research
Dec 11, 2024
BACKGROUND: The possible association between diabetes mellitus and dementia has raised concerns, given the observed coincidental occurrences.
Using machine learning models for predicting monthly iPTH levels in hemodialysis patients.
Computer methods and programs in biomedicine
Nov 30, 2024
BACKGROUND AND OBJECTIVE: Intact parathyroid hormone (iPTH), also known as active parathyroid hormone, is an important indicator commonly for monitoring secondary hyperparathyroidism (SHPT) in patients undergoing hemodialysis. The aim of this study w...
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