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Frontiers in Digital Health
|
September 26, 2022
Evaluating physical urban features in several mental illnesses using electronic health record data
Zahra Mahabadi, Maryam Mahabadi, Sumithra Velupillai, et al.
Studies in Health Technology and Informatics
|
August 24, 2019
Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms
Natalia Viani, Joyce Kam, Lucia Yin, et al.
Scientific Reports
|
January 13, 2021
A natural language processing approach for identifying temporal disease onset information from mental healthcare text
Natalia Viani, Riley Botelle, Jack Kerwin, et al.
JMIR Formative Research
|
June 26, 2023
Development of a Corpus Annotated With Mentions of Pain in Mental Health Records: Natural Language Processing Approach
Jaya Chaturvedi, Natalia Chance, Luwaiza Mirza, et al.
BMJ Open
|
December 28, 2022
Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data
Lucile Ter-Minassian, Natalia Viani, Alice Wickersham, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
June 2, 2018
Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records
Johnny Downs, Sumithra Velupillai, Gkotsis George, et al.
Journal of Affective Disorders Reports
|
January 16, 2023
Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records
Marika Cusick, Sumithra Velupillai, Johnny Downs, et al.
BMJ Open
|
January 1, 2022
Using natural language processing to extract self-harm and suicidality data from a clinical sample of patients with eating disorders: a retrospective cohort study
Charlotte Cliffe, Aida Seyedsalehi, Katerina Vardavoulia, et al.
Artificial Intelligence in Medicine
|
February 22, 2014
Cue-based assertion classification for Swedish clinical text--developing a lexicon for pyConTextSwe
Sumithra Velupillai, Maria Skeppstedt, Maria Kvist, et al.
Journal of Biomedical Semantics
|
March 12, 2020
Temporal information extraction from mental health records to identify duration of untreated psychosis
Natalia Viani, Joyce Kam, Lucia Yin, et al.
Page
of 5
Search research articles
Search
Showing results (21-30 of 46) with videos related to
Sort By:
Page
of 5
Frontiers in Digital Health
|
September 26, 2022
Evaluating physical urban features in several mental illnesses using electronic health record data
Zahra Mahabadi, Maryam Mahabadi, Sumithra Velupillai, et al.
Studies in Health Technology and Informatics
|
August 24, 2019
Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms
Natalia Viani, Joyce Kam, Lucia Yin, et al.
Scientific Reports
|
January 13, 2021
A natural language processing approach for identifying temporal disease onset information from mental healthcare text
Natalia Viani, Riley Botelle, Jack Kerwin, et al.
JMIR Formative Research
|
June 26, 2023
Development of a Corpus Annotated With Mentions of Pain in Mental Health Records: Natural Language Processing Approach
Jaya Chaturvedi, Natalia Chance, Luwaiza Mirza, et al.
BMJ Open
|
December 28, 2022
Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data
Lucile Ter-Minassian, Natalia Viani, Alice Wickersham, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
June 2, 2018
Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records
Johnny Downs, Sumithra Velupillai, Gkotsis George, et al.
Journal of Affective Disorders Reports
|
January 16, 2023
Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records
Marika Cusick, Sumithra Velupillai, Johnny Downs, et al.
BMJ Open
|
January 1, 2022
Using natural language processing to extract self-harm and suicidality data from a clinical sample of patients with eating disorders: a retrospective cohort study
Charlotte Cliffe, Aida Seyedsalehi, Katerina Vardavoulia, et al.
Artificial Intelligence in Medicine
|
February 22, 2014
Cue-based assertion classification for Swedish clinical text--developing a lexicon for pyConTextSwe
Sumithra Velupillai, Maria Skeppstedt, Maria Kvist, et al.
Journal of Biomedical Semantics
|
March 12, 2020
Temporal information extraction from mental health records to identify duration of untreated psychosis
Natalia Viani, Joyce Kam, Lucia Yin, et al.
Page
of 5