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 *

1054 related articles for article (PubMed ID: 26456569)

  • 1. Using natural language processing to identify problem usage of prescription opioids.
    Carrell DS; Cronkite D; Palmer RE; Saunders K; Gross DE; Masters ET; Hylan TR; Von Korff M
    Int J Med Inform; 2015 Dec; 84(12):1057-64. PubMed ID: 26456569
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The prevalence of problem opioid use in patients receiving chronic opioid therapy: computer-assisted review of electronic health record clinical notes.
    Palmer RE; Carrell DS; Cronkite D; Saunders K; Gross DE; Masters E; Donevan S; Hylan TR; Von Kroff M
    Pain; 2015 Jul; 156(7):1208-1214. PubMed ID: 25760471
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using natural language processing to identify opioid use disorder in electronic health record data.
    Singleton J; Li C; Akpunonu PD; Abner EL; Kucharska-Newton AM
    Int J Med Inform; 2023 Feb; 170():104963. PubMed ID: 36521420
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated prediction of risk for problem opioid use in a primary care setting.
    Hylan TR; Von Korff M; Saunders K; Masters E; Palmer RE; Carrell D; Cronkite D; Mardekian J; Gross D
    J Pain; 2015 Apr; 16(4):380-7. PubMed ID: 25640294
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Enhancing Risk Assessment in Patients Receiving Chronic Opioid Analgesic Therapy Using Natural Language Processing.
    Haller IV; Renier CM; Juusola M; Hitz P; Steffen W; Asmus MJ; Craig T; Mardekian J; Masters ET; Elliott TE
    Pain Med; 2017 Oct; 18(10):1952-1960. PubMed ID: 28034982
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Natural Language Processing-Identified Problem Opioid Use and Its Associated Health Care Costs.
    Masters ET; Ramaprasan A; Mardekian J; Palmer RE; Gross DE; Cronkite D; Von Korff M; Carrell DS
    J Pain Palliat Care Pharmacother; 2018; 32(2-3):106-115. PubMed ID: 30702378
    [TBL] [Abstract][Full Text] [Related]  

  • 7. NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records.
    Wang Y; Luo J; Hao S; Xu H; Shin AY; Jin B; Liu R; Deng X; Wang L; Zheng L; Zhao Y; Zhu C; Hu Z; Fu C; Hao Y; Zhao Y; Jiang Y; Dai D; Culver DS; Alfreds ST; Todd R; Stearns F; Sylvester KG; Widen E; Ling XB
    Int J Med Inform; 2015 Dec; 84(12):1039-47. PubMed ID: 26254876
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.
    Hazlehurst B; Green CA; Perrin NA; Brandes J; Carrell DS; Baer A; DeVeaugh-Geiss A; Coplan PM
    Pharmacoepidemiol Drug Saf; 2019 Aug; 28(8):1143-1151. PubMed ID: 31218780
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatically identifying opioid use disorder in non-cancer patients on chronic opioid therapy.
    Zhu VJ; Lenert LA; Barth KS; Simpson KN; Li H; Kopscik M; Brady KT
    Health Informatics J; 2022; 28(2):14604582221107808. PubMed ID: 35726687
    [No Abstract]   [Full Text] [Related]  

  • 10. Challenges of Developing a Natural Language Processing Method With Electronic Health Records to Identify Persons With Chronic Mobility Disability.
    Agaronnik ND; Lindvall C; El-Jawahri A; He W; Iezzoni LI
    Arch Phys Med Rehabil; 2020 Oct; 101(10):1739-1746. PubMed ID: 32446905
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Controlled Substance Prescribing Patterns--Prescription Behavior Surveillance System, Eight States, 2013.
    Paulozzi LJ; Strickler GK; Kreiner PW; Koris CM;
    MMWR Surveill Summ; 2015 Oct; 64(9):1-14. PubMed ID: 26469747
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.
    Van Vleck TT; Chan L; Coca SG; Craven CK; Do R; Ellis SB; Kannry JL; Loos RJF; Bonis PA; Cho J; Nadkarni GN
    Int J Med Inform; 2019 Sep; 129():334-341. PubMed ID: 31445275
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Scaling-up NLP Pipelines to Process Large Corpora of Clinical Notes.
    Divita G; Carter M; Redd A; Zeng Q; Gupta K; Trautner B; Samore M; Gundlapalli A
    Methods Inf Med; 2015; 54(6):548-52. PubMed ID: 26534722
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing.
    Poulsen MN; Freda PJ; Troiani V; Davoudi A; Mowery DL
    Front Public Health; 2022; 10():850619. PubMed ID: 35615042
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Using natural language processing to improve efficiency of manual chart abstraction in research: the case of breast cancer recurrence.
    Carrell DS; Halgrim S; Tran DT; Buist DS; Chubak J; Chapman WW; Savova G
    Am J Epidemiol; 2014 Mar; 179(6):749-58. PubMed ID: 24488511
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying and classifying opioid-related overdoses: A validation study.
    Green CA; Perrin NA; Hazlehurst B; Janoff SL; DeVeaugh-Geiss A; Carrell DS; Grijalva CG; Liang C; Enger CL; Coplan PM
    Pharmacoepidemiol Drug Saf; 2019 Aug; 28(8):1127-1137. PubMed ID: 31020755
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Tracking persistent postoperative opioid use: a proof-of-concept study demonstrating a use case for natural language processing.
    Seng EC; Mehdipour S; Simpson S; Gabriel RA
    Reg Anesth Pain Med; 2024 Apr; 49(4):241-247. PubMed ID: 37419509
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying Symptom Information in Clinical Notes Using Natural Language Processing.
    Koleck TA; Tatonetti NP; Bakken S; Mitha S; Henderson MM; George M; Miaskowski C; Smaldone A; Topaz M
    Nurs Res; 2021 May-Jun 01; 70(3):173-183. PubMed ID: 33196504
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study.
    Noori A; Magdamo C; Liu X; Tyagi T; Li Z; Kondepudi A; Alabsi H; Rudmann E; Wilcox D; Brenner L; Robbins GK; Moura L; Zafar S; Benson NM; Hsu J; R Dickson J; Serrano-Pozo A; Hyman BT; Blacker D; Westover MB; Mukerji SS; Das S
    J Med Internet Res; 2022 Aug; 24(8):e40384. PubMed ID: 36040790
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes.
    Doan S; Maehara CK; Chaparro JD; Lu S; Liu R; Graham A; Berry E; Hsu CN; Kanegaye JT; Lloyd DD; Ohno-Machado L; Burns JC; Tremoulet AH;
    Acad Emerg Med; 2016 May; 23(5):628-36. PubMed ID: 26826020
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 53.