3 accepted papers
Sentence segmentation is a linguistic task and is widely used as a pre-processing step in many NLP applications. The need for sentence segmentation is particularly pronounced in clinical notes, where ungrammatical and fragmented texts are common. We propose a straightforward and effective sequence l…
Automatically summarizing patients’ main problems from daily progress notes using natural language processing methods helps to battle against information and cognitive overload in hospital settings and potentially assists providers with computerized diagnostic decision support. Problem list summariz…
Locomotion mode recognition based on the off-line trained model brings difficulties in integration and application to wearable robots. In this paper, we put forward an on-board training based on back propagation (BP) neural network and developed the real-time locomotion mode recognition research in…