Improving suicide prevention through evidence-based strategies: a systematic review
Objective: The authors sought to identify scalable evidence-based suicide prevention
strategies. Methods: A search of PubMed and Google Scholar identified 20,234 articles …
strategies. Methods: A search of PubMed and Google Scholar identified 20,234 articles …
Use of unstructured text in prognostic clinical prediction models: a systematic review
Objective This systematic review aims to assess how information from unstructured text is
used to develop and validate clinical prognostic prediction models. We summarize the …
used to develop and validate clinical prognostic prediction models. We summarize the …
A mental health chatbot with cognitive skills for personalised behavioural activation and remote health monitoring
Mental health issues are at the forefront of healthcare challenges facing contemporary
human society. These issues are most prevalent among working-age people, impacting …
human society. These issues are most prevalent among working-age people, impacting …
Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic …
Objective Natural language processing (NLP) combined with machine learning (ML)
techniques are increasingly used to process unstructured/free-text patient-reported outcome …
techniques are increasingly used to process unstructured/free-text patient-reported outcome …
Applying deep learning model to predict diagnosis code of medical records
The International Classification of Diseases (ICD) code is a diagnostic classification
standard that is frequently used as a referencing system in healthcare and insurance …
standard that is frequently used as a referencing system in healthcare and insurance …
Detection of self-harm and suicidal ideation in emergency department triage notes
Objective Accurate identification of self-harm presentations to Emergency Departments (ED)
can lead to more timely mental health support, aid in understanding the burden of suicidal …
can lead to more timely mental health support, aid in understanding the burden of suicidal …
Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Suicide is a major global public health concern, and the application of artificial intelligence
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …
[HTML][HTML] Diagnostic classification and prognostic prediction using common genetic variants in autism spectrum disorder: Genotype-based deep learning
H Wang, P Avillach - JMIR medical informatics, 2021 - medinform.jmir.org
Background: In the United States, about 3 million people have autism spectrum disorder
(ASD), and around 1 out of 59 children are diagnosed with ASD. People with ASD have …
(ASD), and around 1 out of 59 children are diagnosed with ASD. People with ASD have …
A critical review of text mining applications for suicide research
Abstract Purpose of Review Applying text mining to suicide research holds a great deal of
promise. In this manuscript, literature from 2019 to 2021 is critically reviewed for text mining …
promise. In this manuscript, literature from 2019 to 2021 is critically reviewed for text mining …
Lightweight transformers for clinical natural language processing
Specialised pre-trained language models are becoming more frequent in Natural language
Processing (NLP) since they can potentially outperform models trained on generic texts …
Processing (NLP) since they can potentially outperform models trained on generic texts …