Cargando…

Target-based fusion using social determinants of health to enhance suicide prediction with electronic health records

OBJECTIVE: Preventing suicide in US youth is of paramount concern, with rates increasing over 50% between 2007 and 2018. Statistical modeling using electronic health records may help identify at-risk youth before a suicide attempt. While electronic health records contain diagnostic information, whic...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sacco, Shane J., Chen, Kun, Wang, Fei, Aseltine, Robert
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132649/ https://www.ncbi.nlm.nih.gov/pubmed/37099562 http://dx.doi.org/10.1371/journal.pone.0283595

Ejemplares similares

Machine learning for suicide risk prediction in children and adolescents with electronic health records
por: Su, Chang, et al.
Publicado: (2020)

Relative accuracy of social and medical determinants of suicide in electronic health records
por: Alemi, Farrokh, et al.
Publicado: (2020)

Prediction of Suicide Attempts Using Clinician Assessment, Patient Self-report, and Electronic Health Records
por: Nock, Matthew K., et al.
Publicado: (2022)

The quality of social determinants data in the electronic health record: a systematic review
por: Cook, Lily A, et al.
Publicado: (2021)

“Engaging stakeholders in integrating social determinants of health into electronic health records: a scoping review”
por: Wark, Kyle, et al.
Publicado: (2021)

Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts
por: Tsui, Fuchiang R, et al.
Publicado: (2021)

Predictability Bounds of Electronic Health Records
por: Dahlem, Dominik, et al.
Publicado: (2015)

Incorporating Social Determinants of Health in Electronic Health Records: Qualitative Study of Current Practices Among Top Vendors
por: Freij, Maysoun, et al.
Publicado: (2019)

Social Determinants of Health in Pediatric Ophthalmology Patients: Availability of Data in the Electronic Health Record and Association With Clinic Attendance
por: Jamal, Omer, et al.
Publicado: (2023)

Combining clinical notes with structured electronic health records enhances the prediction of mental health crises
por: Garriga, Roger, et al.
Publicado: (2023)

Prospective Validation of an Electronic Health Record–Based, Real-Time Suicide Risk Model
por: Walsh, Colin G., et al.
Publicado: (2021)

Identifying risk factors for mortality among patients previously hospitalized for a suicide attempt
por: Doshi, Riddhi P., et al.
Publicado: (2020)

Extracting social determinants of health from electronic health records using natural language processing: a systematic review
por: Patra, Braja G, et al.
Publicado: (2021)

Natural language processing to identify social determinants of health in Alzheimer's disease and related dementia from electronic health records
por: Wu, Wenbo, et al.
Publicado: (2023)

Artificial intelligence-based methods for fusion of electronic health records and imaging data
por: Mohsen, Farida, et al.
Publicado: (2022)

Enhancing Electronic Health Records to Support Clinical Research
por: Vawdrey, David K., et al.
Publicado: (2014)

Enhancing Electronic Health Record Data with Geospatial Information
por: Xie, Sherrie, et al.
Publicado: (2017)

Linking suicide and social determinants of health in South Korea: An investigation of structural determinants
por: Zhu, Yongjun, et al.
Publicado: (2022)

Electronic health records
por: Medellin, Constance
Publicado: (2013)

Electronic Health Record
por: Scarlat, Alexander
Publicado: (2012)

Predicting Inpatient Medication Orders From Electronic Health Record Data
por: Rough, Kathryn, et al.
Publicado: (2020)

International Classification of Diseases, Tenth Revision, Clinical Modification social determinants of health codes are poorly used in electronic health records
por: Guo, Yi, et al.
Publicado: (2020)

Towards stroke prediction using electronic health records
por: Teoh, Douglas
Publicado: (2018)

The impact of electronic health record discontinuity on prediction modeling
por: Kar, Shreyas, et al.
Publicado: (2023)

Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health
por: Oreskovic, Nicolas Michel, et al.
Publicado: (2017)

Using Geospatial Analyses of Linked Electronic Health Records and Tobacco Outlet Data to Address the Social Determinants of Smoking
por: Siegel, Scott D., et al.
Publicado: (2019)

Sex Differences in Determinants of Suicide Risk Preceding Psychiatric Admission: An Electronic Medical Record Study
por: McQuaid, Robyn J., et al.
Publicado: (2022)

RLT-S: A Web System for Record Linkage
por: Mamun, Abdullah-Al, et al.
Publicado: (2015)

Suicide prevention skills, confidence and training: Results from the Zero Suicide Workforce Survey of behavioral health care professionals
por: Wakai, Sara, et al.
Publicado: (2020)

Predictive Modeling for Pressure Ulcers from Intensive Care Unit Electronic Health Records
por: Kaewprag, Pacharmon, et al.
Publicado: (2015)

Introduction to electronic health records
por: Schrom, John
Publicado: (2015)

Electronic health records for dummies
por: Williams, Trenor, et al.
Publicado: (2010)

Applying machine learning on health record data from general practitioners to predict suicidality
por: van Mens, Kasper, et al.
Publicado: (2020)

Predicting outcomes of psychotherapy for depression with electronic health record data
por: Coley, R Yates, et al.
Publicado: (2021)

Application of Blockchain to Maintaining Patient Records in Electronic Health Record for Enhanced Privacy, Scalability, and Availability
por: Tith, Dara, et al.
Publicado: (2020)

Efficient Record Linkage Algorithms Using Complete Linkage Clustering
por: Mamun, Abdullah-Al, et al.
Publicado: (2016)

Linking Electronic Health Records and In-Depth Interviews to Inform Efforts to Integrate Social Determinants of Health Into Health Care Delivery: Protocol for a Qualitative Research Study
por: Hirsch, Annemarie, et al.
Publicado: (2022)

Efficient sequential and parallel algorithms for record linkage
por: Mamun, Abdullah-Al, et al.
Publicado: (2014)

Clinician-recalled quoted speech in electronic health records and risk of suicide attempt: a case–crossover study
por: Jayasinghe, Lasantha, et al.
Publicado: (2020)

Using General-purpose Sentiment Lexicons for Suicide Risk Assessment in Electronic Health Records: Corpus-Based Analysis
por: Bittar, André, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_omo58dpv5n3lu8hjo0fbmr60bn