AIMC Topic: Text Messaging
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Chinese clinical named entity recognition with radical-level feature and self-attention mechanism.
Journal of biomedical informatics
Sep 18, 2019
Named entity recognition is a fundamental and crucial task in medical natural language processing problems. In medical fields, Chinese clinical named entity recognition identifies boundaries and types of medical entities from unstructured text such a...
Using Health Chatbots for Behavior Change: A Mapping Study.
Journal of medical systems
Apr 4, 2019
This study conducts a mapping study to survey the landscape of health chatbots along three research questions: What illnesses are chatbots tackling? What patient competences are chatbots aimed at? Which chatbot technical enablers are of most interest...
Extracting health-related causality from twitter messages using natural language processing.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: Twitter messages (tweets) contain various types of topics in our daily life, which include health-related topics. Analysis of health-related tweets would help us understand health conditions and concerns encountered in our daily lives. In...
A hierarchical machine learning classification approach for secondary task identification from observed driving behavior data.
Accident; analysis and prevention
Dec 13, 2018
According to NHTSA, more than 3477 people (including 551 non-occupants) were killed and 391,000 were injured due to distraction-related crashes in 2015. The distracted driving epidemic has long been under research to identify its impact on driving be...
Can the artificial intelligence technique of reinforcement learning use continuously-monitored digital data to optimize treatment for weight loss?
Journal of behavioral medicine
Aug 25, 2018
Behavioral weight loss (WL) trials show that, on average, participants regain lost weight unless provided long-term, intensive-and thus costly-intervention. Optimization solutions have shown mixed success. The artificial intelligence principle of "re...
Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study.
Journal of medical Internet research
Jun 29, 2018
BACKGROUND: Qualitative research methods are increasingly being used across disciplines because of their ability to help investigators understand the perspectives of participants in their own words. However, qualitative analysis is a laborious and re...
Communication with Orthopedic Trauma Patients via an Automated Mobile Phone Messaging Robot.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Dec 20, 2017
BACKGROUND: Communication with orthopedic trauma patients is traditionally problematic with low response rates (RRs). The purpose of this investigation was to (1) evaluate the feasibility of communicating with orthopedic trauma patients postoperative...
A New Approach to Predict user Mobility Using Semantic Analysis and Machine Learning.
Journal of medical systems
Oct 19, 2017
Mobility prediction is a technique in which the future location of a user is identified in a given network. Mobility prediction provides solutions to many day-to-day life problems. It helps in seamless handovers in wireless networks to provide better...
Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.
Computational and mathematical methods in medicine
Sep 26, 2016
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants re...
Natural Language Processing
Young Adult
Patient Discharge
Adult
Self-Injurious Behavior
Psychometrics
Telemedicine
Mental Disorders
Sensitivity and Specificity
Spain
Text Messaging
Follow-Up Studies
Middle Aged
Male
Female
Humans
Reminder Systems
Mental Health Services
Suicide, Attempted
Reproducibility of Results
Machine Learning
Hospitals, Psychiatric
Predictive Value of Tests
Diagnosis, Computer-Assisted
Hospitalization
Algorithms
Surveys and Questionnaires
BERT and BERTopic for screening clinical depression on open-ended text messages collected through a mobile application from older adults.
BMC public health
Jun 10, 2025
BACKGROUND: Despite the high suicide rate in South Korea, older adults are reluctant to see a psychiatrist. Recently, text mining has gained popularity to detect depression in social media posts, but older adults rarely use social media. However, mor...
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