A5010786947- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare
- Heart Failure Treatment and Management
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Economic theories and models
- Computability, Logic, AI Algorithms
- Long-Term Effects of COVID-19
- Frailty in Older Adults
- Diabetic Foot Ulcer Assessment and Management
- Medical Imaging and Analysis
- Osteoarthritis Treatment and Mechanisms
- Artificial Intelligence in Healthcare and Education
- Intensive Care Unit Cognitive Disorders
- Rheumatoid Arthritis Research and Therapies
- Game Theory and Applications
- AI in cancer detection
- COVID-19 Clinical Research Studies
University of Malaya
1977-2024
University of Kuala Lumpur
2021
Hospital readmission shortly after discharge is threatening to plague the quality of inpatient care. Readmission a severe episode that leads increased medical care costs. Federal regulations and early penalties have created an incentive for healthcare facilities reduce their rates by predicting patients at high risk readmission. Scientists developed prediction models using rule-based assessment scores traditional statistical methods, most focused on structured patient records. Recently, few...
Quality of care data has gained transparency captured through various measurements and reporting. Readmission measure is especially related to unfavorable patient outcomes that directly bends the curve healthcare cost. Under Hospital Reduction Program, payments hospitals were reduced for those with excessive 30-day rehospitalization rates. These penalties have intensified efforts from hospital stakeholders implement strategies reduce readmission One key deployment predictive analytics...
Hospital readmission shortly after discharge is contributing to rising medical care costs. Attempts have been exerted reduce rates by predicting patients at high risk of this episode on the basis unstructured clinical notes. Discharge summary as part prose effective modeling risk. However, predictive value notes written upon offers few opportunities chance because target patient might already discharged. This paper presents use early in building a machine learning model predict 48 h...
Hospital readmission shortly after discharge is threatening to plague the quality of inpatient care. In United States, Readmissions Reduction Program has been established improve patient outcomes by reducing payments hospitals with excess readmissions. This concern calls for an incentive healthcare facilities reduce their rates predicting patients at a high risk readmission. Recently, scientists have developed prediction models using machine learning algorithms. Extensive feature...
This project employs artificial intelligence, including machine learning and deep learning, to assess COVID-19 readmission risk in Malaysia. It offers tools mitigate healthcare resource strain enhance patient outcomes. study outlines a methodology for classifying readmissions. starts with dataset description pre-processing, while the data balancing was computed through Random Oversampling, Borderline SMOTE, Adaptive Synthetic Sampling. Nine ten techniques are applied, five-fold...
In this paper, a retrospective study was carried out with real-world patient data from Universiti Malaya Medical Centre (UMMC), Kuala Lumpur, Malaysia. After pre-processing, final total of 441 remained, 399 non-readmitted cases, and 42 readmitted cases. The date admission ranged February 2021 to October 2021. cases made up 9.52% the collected. Two types feature selection techniques were applied, namely Recursive Feature Elimination (RFE) Chi Square Test. common features both selections are...
In recent decades, convolutional neural networks (CNNs) have delivered promising results in vision-related tasks across different domains. Previous studies introduced deeper network architectures to further improve the performances of object classification, localization, and segmentation. However, this induces complexity mapping network’s layer processing elements ventral visual pathway. Although CORnet models are not precisely biomimetic, they closer approximations anatomy pathway compared...