[HTML][HTML] Multi-task learning via adaptation to similar tasks for mortality prediction of diverse rare diseases
The mortality prediction of diverse rare diseases using electronic health record (EHR) data is
a crucial task for intelligent healthcare. However, data insufficiency and the clinical diversity …
a crucial task for intelligent healthcare. However, data insufficiency and the clinical diversity …
[HTML][HTML] Towards more patient friendly clinical notes through language models and ontologies
Clinical notes are an efficient way to record patient information but are notoriously hard to
decipher for non-experts. Automatically simplifying medical text can empower patients with …
decipher for non-experts. Automatically simplifying medical text can empower patients with …
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
Deep learning has revolutionized biomedical research by providing sophisticated methods
to handle complex, high-dimensional data. Multimodal deep learning (MDL) further …
to handle complex, high-dimensional data. Multimodal deep learning (MDL) further …
Blood Pressure Estimation using Self-attention Mechanism Built-in ResUNet on PulseDB: Demographic Fairness, and Generalization
Z Jamil, LT Lui, RHM Chan - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
This study focuses on the estimation of systolic and diastolic blood pressure (SBP and DBP)
from photoplethysmogram (PPG) and electrocardiogram (ECG) signals using deep neural …
from photoplethysmogram (PPG) and electrocardiogram (ECG) signals using deep neural …
SoK: Security and Privacy Risks of Medical AI
The integration of technology and healthcare has ushered in a new era where software
systems, powered by artificial intelligence and machine learning, have become essential …
systems, powered by artificial intelligence and machine learning, have become essential …
[HTML][HTML] Hypersphere clustering to characterize healthcare providers using prescriptions and procedures from medicare claims data
N Fillmore, SD Goryachev… - AMIA Annual Symposium …, 2020 - pmc.ncbi.nlm.nih.gov
We consider the task of producing a useful clustering of healthcare providers from their
clinical action signature–their drug, procedure, and billing codes. Because high-dimensional …
clinical action signature–their drug, procedure, and billing codes. Because high-dimensional …