BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

471 related articles for article (PubMed ID: 35764999)

  • 1. Development of a natural language processing algorithm to detect chronic cough in electronic health records.
    Bali V; Weaver J; Turzhitsky V; Schelfhout J; Paudel ML; Hulbert E; Peterson-Brandt J; Currie AG; Bakka D
    BMC Pulm Med; 2022 Jun; 22(1):256. PubMed ID: 35764999
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identifying and Characterizing a Chronic Cough Cohort Through Electronic Health Records.
    Weiner M; Dexter PR; Heithoff K; Roberts AR; Liu Z; Griffith A; Hui S; Schelfhout J; Dicpinigaitis P; Doshi I; Weaver JP
    Chest; 2021 Jun; 159(6):2346-2355. PubMed ID: 33345951
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Applying interpretable deep learning models to identify chronic cough patients using EHR data.
    Luo X; Gandhi P; Zhang Z; Shao W; Han Z; Chandrasekaran V; Turzhitsky V; Bali V; Roberts AR; Metzger M; Baker J; La Rosa C; Weaver J; Dexter P; Huang K
    Comput Methods Programs Biomed; 2021 Oct; 210():106395. PubMed ID: 34525412
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. The use of natural language processing to identify vaccine-related anaphylaxis at five health care systems in the Vaccine Safety Datalink.
    Yu W; Zheng C; Xie F; Chen W; Mercado C; Sy LS; Qian L; Glenn S; Tseng HF; Lee G; Duffy J; McNeil MM; Daley MF; Crane B; McLean HQ; Jackson LA; Jacobsen SJ
    Pharmacoepidemiol Drug Saf; 2020 Feb; 29(2):182-188. PubMed ID: 31797475
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Natural language processing of clinical notes for identification of critical limb ischemia.
    Afzal N; Mallipeddi VP; Sohn S; Liu H; Chaudhry R; Scott CG; Kullo IJ; Arruda-Olson AM
    Int J Med Inform; 2018 Mar; 111():83-89. PubMed ID: 29425639
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Mining peripheral arterial disease cases from narrative clinical notes using natural language processing.
    Afzal N; Sohn S; Abram S; Scott CG; Chaudhry R; Liu H; Kullo IJ; Arruda-Olson AM
    J Vasc Surg; 2017 Jun; 65(6):1753-1761. PubMed ID: 28189359
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Natural language processing to identify lupus nephritis phenotype in electronic health records.
    Deng Y; Pacheco JA; Ghosh A; Chung A; Mao C; Smith JC; Zhao J; Wei WQ; Barnado A; Dorn C; Weng C; Liu C; Cordon A; Yu J; Tedla Y; Kho A; Ramsey-Goldman R; Walunas T; Luo Y
    BMC Med Inform Decis Mak; 2024 Mar; 22(Suppl 2):348. PubMed ID: 38433189
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Natural language processing to identify social determinants of health in Alzheimer's disease and related dementia from electronic health records.
    Wu W; Holkeboer KJ; Kolawole TO; Carbone L; Mahmoudi E
    Health Serv Res; 2023 Dec; 58(6):1292-1302. PubMed ID: 37534741
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome.
    Lee RY; Kross EK; Torrence J; Li KS; Sibley J; Cohen T; Lober WB; Engelberg RA; Curtis JR
    JAMA Netw Open; 2023 Mar; 6(3):e231204. PubMed ID: 36862411
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Getting More Out of Large Databases and EHRs with Natural Language Processing and Artificial Intelligence: The Future Is Here.
    Khosravi B; Rouzrokh P; Erickson BJ
    J Bone Joint Surg Am; 2022 Oct; 104(Suppl 3):51-55. PubMed ID: 36260045
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System.
    Malden DE; Tartof SY; Ackerson BK; Hong V; Skarbinski J; Yau V; Qian L; Fischer H; Shaw SF; Caparosa S; Xie F
    JMIR Public Health Surveill; 2022 Dec; 8(12):e41529. PubMed ID: 36446133
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.
    Koleck TA; Dreisbach C; Bourne PE; Bakken S
    J Am Med Inform Assoc; 2019 Apr; 26(4):364-379. PubMed ID: 30726935
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records.
    Fu S; Lopes GS; Pagali SR; Thorsteinsdottir B; LeBrasseur NK; Wen A; Liu H; Rocca WA; Olson JE; St Sauver J; Sohn S
    J Gerontol A Biol Sci Med Sci; 2022 Mar; 77(3):524-530. PubMed ID: 35239951
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.
    Feller DJ; Zucker J; Yin MT; Gordon P; Elhadad N
    J Acquir Immune Defic Syndr; 2018 Feb; 77(2):160-166. PubMed ID: 29084046
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated feature selection of predictors in electronic medical records data.
    Gronsbell J; Minnier J; Yu S; Liao K; Cai T
    Biometrics; 2019 Mar; 75(1):268-277. PubMed ID: 30353541
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting.
    Le DV; Montgomery J; Kirkby KC; Scanlan J
    J Biomed Inform; 2018 Oct; 86():49-58. PubMed ID: 30118855
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.