AIMC Topic: Text Messaging
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Identification of Gout Flares in Chief Complaint Text Using Natural Language Processing.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Many patients with gout flares treated in the Emergency Department (ED) often do not receive optimal continuity of care after an ED visit. Thus, developing methods to identify patients with gout flares in the ED and referring them to appropriate outp...
Deep-Learning-Based Prediction of High-Risk Taxi Drivers Using Wellness Data.
International journal of environmental research and public health
Dec 18, 2020
BACKGROUND: Factors related to the wellness of taxi drivers are important for identifying high-risk drivers based on human factors. The purpose of this study is to predict high-risk taxi drivers based on a deep learning method by identifying the well...
Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks.
JMIR mHealth and uHealth
Aug 31, 2020
BACKGROUND: Schizophrenia spectrum disorders (SSDs) are chronic conditions, but the severity of symptomatic experiences and functional impairments vacillate over the course of illness. Developing unobtrusive remote monitoring systems to detect early ...
PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text.
BMC medical informatics and decision making
Aug 28, 2020
BACKGROUNDS: Knowledge discovery from breast cancer treatment records has promoted downstream clinical studies such as careflow mining and therapy analysis. However, the clinical treatment text from electronic health data might be recorded by differe...
Acceptance and Commitment Therapy Delivered via a Mobile Phone Messaging Robot to Decrease Postoperative Opioid Use in Patients With Orthopedic Trauma: Randomized Controlled Trial.
Journal of medical Internet research
Jul 29, 2020
BACKGROUND: Acceptance and commitment therapy (ACT) is a pragmatic approach to help individuals decrease avoidable pain.
An attention-based multi-task model for named entity recognition and intent analysis of Chinese online medical questions.
Journal of biomedical informatics
Jul 14, 2020
In this paper, we propose an attention-based multi-task neural network model for text classification and sequence tagging and then apply it to the named entity recognition and the intent analysis of Chinese online medical questions. We found that the...
Inside pandora's box: a systematic review of the assessment of the perceived quality of chatbots for people with disabilities or special needs.
Disability and rehabilitation. Assistive technology
Jun 18, 2020
People with disabilities or special needs can benefit from AI-based conversational agents (i.e., chatbots) that are used for competence training and well-being management. Assessing the quality of interactions with these chatbots is key to being abl...
How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach.
BMC medical informatics and decision making
May 27, 2020
BACKGROUND: Patient experience surveys often include free-text responses. Analysis of these responses is time-consuming and often underutilized. This study examined whether Natural Language Processing (NLP) techniques could provide a data-driven, hos...
The influence of preprocessing on text classification using a bag-of-words representation.
PloS one
May 1, 2020
Text classification (TC) is the task of automatically assigning documents to a fixed number of categories. TC is an important component in many text applications. Many of these applications perform preprocessing. There are different types of text pre...
Chinese clinical named entity recognition with variant neural structures based on BERT methods.
Journal of biomedical informatics
Apr 28, 2020
Clinical Named Entity Recognition (CNER) is a critical task which aims to identify and classify clinical terms in electronic medical records. In recent years, deep neural networks have achieved significant success in CNER. However, these methods requ...
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