A5092073603- Machine Learning in Healthcare
- Sepsis Diagnosis and Treatment
- COVID-19 diagnosis using AI
- Heart Rate Variability and Autonomic Control
- Heart Failure Treatment and Management
- Respiratory Support and Mechanisms
- Retinal Imaging and Analysis
- Video Surveillance and Tracking Methods
- Automated Road and Building Extraction
- Emergency and Acute Care Studies
- Mosquito-borne diseases and control
- Phonocardiography and Auscultation Techniques
- Image Enhancement Techniques
- Artificial Intelligence in Healthcare
University of Dhaka
2023-2024
Abstract The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion illnesses, there is pressing need to predict ICU these cases. This study based on data from 1188 patients, addresses this imperative using machine learning techniques and investigating different class balancing methods prediction. employs the publicly accessible “Paediatric...
Heart failure is a devastating disease that has high mortality rates and negative impact on quality of life. patients often experience emergency readmission after an initial episode, due to inadequate management. A timely diagnosis treatment underlying issues can significantly reduce the risk readmissions. The purpose this project was predict readmissions discharged heart using classical machine learning (ML) models based Electronic Health Record (EHR) data. dataset used for study consisted...