These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

636 related articles for article (PubMed ID: 30779800)

  • 1. Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records.
    Carson NJ; Mullin B; Sanchez MJ; Lu F; Yang K; Menezes M; Cook BL
    PLoS One; 2019; 14(2):e0211116. PubMed ID: 30779800
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting adolescent suicidal behavior following inpatient discharge using structured and unstructured data.
    Carson NJ; Yang X; Mullin B; Stettenbauer E; Waddington M; Zhang A; Williams P; Rios Perez GE; Cook BL
    J Affect Disord; 2024 Apr; 350():382-387. PubMed ID: 38158050
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Controlled Trial Using Natural Language Processing to Examine the Language of Suicidal Adolescents in the Emergency Department.
    Pestian JP; Grupp-Phelan J; Bretonnel Cohen K; Meyers G; Richey LA; Matykiewicz P; Sorter MT
    Suicide Life Threat Behav; 2016 Apr; 46(2):154-9. PubMed ID: 26252868
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: A machine learning study using Swedish national registry data.
    Chen Q; Zhang-James Y; Barnett EJ; Lichtenstein P; Jokinen J; D'Onofrio BM; Faraone SV; Larsson H; Fazel S
    PLoS Med; 2020 Nov; 17(11):e1003416. PubMed ID: 33156863
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Use of emergency department electronic medical records for automated epidemiological surveillance of suicide attempts: a French pilot study.
    Metzger MH; Tvardik N; Gicquel Q; Bouvry C; Poulet E; Potinet-Pagliaroli V
    Int J Methods Psychiatr Res; 2017 Jun; 26(2):. PubMed ID: 27634457
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem.
    Zhong QY; Mittal LP; Nathan MD; Brown KM; Knudson González D; Cai T; Finan S; Gelaye B; Avillach P; Smoller JW; Karlson EW; Cai T; Williams MA
    Eur J Epidemiol; 2019 Feb; 34(2):153-162. PubMed ID: 30535584
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using machine learning to classify suicide attempt history among youth in medical care settings.
    Burke TA; Jacobucci R; Ammerman BA; Alloy LB; Diamond G
    J Affect Disord; 2020 May; 268():206-214. PubMed ID: 32174479
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting future suicidal behaviour in young adults, with different machine learning techniques: A population-based longitudinal study.
    van Mens K; de Schepper C; Wijnen B; Koldijk SJ; Schnack H; de Looff P; Lokkerbol J; Wetherall K; Cleare S; C O'Connor R; de Beurs D
    J Affect Disord; 2020 Jun; 271():169-177. PubMed ID: 32479313
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.
    Cook BL; Progovac AM; Chen P; Mullin B; Hou S; Baca-Garcia E
    Comput Math Methods Med; 2016; 2016():8708434. PubMed ID: 27752278
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation.
    Cusick M; Adekkanattu P; Campion TR; Sholle ET; Myers A; Banerjee S; Alexopoulos G; Wang Y; Pathak J
    J Psychiatr Res; 2021 Apr; 136():95-102. PubMed ID: 33581461
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Suicide attempts by young adolescents: epidemiological characteristics of 517 15-year-old or younger adolescents admitted in French emergency departments].
    Giraud P; Fortanier C; Fabre G; Ghariani J; Guillermain Y; Rouviere N; Chabrol B; Jouve JL; Simeoni MC
    Arch Pediatr; 2013 Jun; 20(6):608-15. PubMed ID: 23628122
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Suicidal Mental Imagery in Psychiatrically Hospitalized Adolescents.
    Lawrence HR; Nesi J; Burke TA; Liu RT; Spirito A; Hunt J; Wolff JC
    Res Child Adolesc Psychopathol; 2021 Mar; 49(3):393-399. PubMed ID: 33403495
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing.
    Fernandes AC; Dutta R; Velupillai S; Sanyal J; Stewart R; Chandran D
    Sci Rep; 2018 May; 8(1):7426. PubMed ID: 29743531
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improving ascertainment of suicidal ideation and suicide attempt with natural language processing.
    Bejan CA; Ripperger M; Wilimitis D; Ahmed R; Kang J; Robinson K; Morley TJ; Ruderfer DM; Walsh CG
    Sci Rep; 2022 Sep; 12(1):15146. PubMed ID: 36071081
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparing machine learning to a rule-based approach for predicting suicidal behavior among adolescents: Results from a longitudinal population-based survey.
    van Vuuren CL; van Mens K; de Beurs D; Lokkerbol J; van der Wal MF; Cuijpers P; Chinapaw MJM
    J Affect Disord; 2021 Dec; 295():1415-1420. PubMed ID: 34620490
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction models for high risk of suicide in Korean adolescents using machine learning techniques.
    Jung JS; Park SJ; Kim EY; Na KS; Kim YJ; Kim KG
    PLoS One; 2019; 14(6):e0217639. PubMed ID: 31170212
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes.
    Meerwijk EL; Jones GA; Shotqara AS; Reyes S; Tamang SR; Eddington HS; Reeves RM; Finlay AK; Harris AHS
    J Biomed Inform; 2024 Feb; 150():104582. PubMed ID: 38160758
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying adolescents at highly elevated risk for suicidal behavior in the emergency department.
    King CA; Berona J; Czyz E; Horwitz AG; Gipson PY
    J Child Adolesc Psychopharmacol; 2015 Mar; 25(2):100-8. PubMed ID: 25746114
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.
    Wong A; Young AT; Liang AS; Gonzales R; Douglas VC; Hadley D
    JAMA Netw Open; 2018 Aug; 1(4):e181018. PubMed ID: 30646095
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Implicit identification with death predicts change in suicide ideation during psychiatric treatment in adolescents.
    Glenn CR; Kleiman EM; Coppersmith DDL; Santee AC; Esposito EC; Cha CB; Nock MK; Auerbach RP
    J Child Psychol Psychiatry; 2017 Dec; 58(12):1319-1329. PubMed ID: 28675456
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 32.