Multimodal deep learning models utilizing chest X-ray and electronic health record data for predictive screening of acute heart failure in emergency department.
Chih-Kuo LeeTing-Li ChenJeng-En WuMin-Tsun LiaoChiehhung WangWeichung WangCheng-Ying ChouPublished in: Computer methods and programs in biomedicine (2024)
The study provided new image features related to AHF and offered insights into future research directions. Overall, these models have great potential to improve patient outcomes and reduce risks in emergency departments.
Keyphrases
- electronic health record
- deep learning
- acute heart failure
- emergency department
- adverse drug
- clinical decision support
- heart failure
- human health
- high resolution
- artificial intelligence
- convolutional neural network
- current status
- machine learning
- big data
- risk assessment
- mass spectrometry
- dual energy
- chronic pain
- contrast enhanced