AIMC Topic: Text Messaging

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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 ...
Recurrence Text Messaging Middle Aged Smartphone Schizophrenia Humans Neural Networks, Computer Female Young Adult Adult Male
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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...
Humans Female Breast Neoplasms Neural Networks, Computer Text Messaging Databases, Factual Electronic Health Records
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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.
Adult Male Middle Aged Female Aged Postoperative Period Text Messaging Cell Phone Robotics Analgesics, Opioid Musculoskeletal Diseases Humans Acceptance and Commitment Therapy
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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...
Neural Networks, Computer China Intention Text Messaging
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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...
Communication Quality of Life Persons with Disabilities Text Messaging Self-Help Devices Humans Artificial Intelligence
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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...
Text Messaging Quality Improvement Patient Outcome Assessment Humans Retrospective Studies Language Hospitals Natural Language Processing
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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...
Algorithms Databases, Factual Language Natural Language Processing Text Messaging Humans Supervised Machine Learning Word Processing Data Mining
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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...
Text Messaging Neural Networks, Computer Electronic Health Records China
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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...
Humans Neural Networks, Computer Pattern Recognition, Automated China Natural Language Processing Medical Informatics Algorithms Attention Text Messaging Semantics Electronic Health Records Language
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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...
Nutrition Disorders Health Status Text Messaging Mental Health Health Behavior Humans Behavior, Addictive Internet Communication Metabolic Diseases Machine Learning Telemedicine User-Computer Interface Nervous System Diseases
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