BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

213 related articles for article (PubMed ID: 33929889)

  • 1. Development and Use of Natural Language Processing for Identification of Distant Cancer Recurrence and Sites of Distant Recurrence Using Unstructured Electronic Health Record Data.
    Karimi YH; Blayney DW; Kurian AW; Shen J; Yamashita R; Rubin D; Banerjee I
    JCO Clin Cancer Inform; 2021 Apr; 5():469-478. PubMed ID: 33929889
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Natural Language Processing Approaches to Detect the Timeline of Metastatic Recurrence of Breast Cancer.
    Banerjee I; Bozkurt S; Caswell-Jin JL; Kurian AW; Rubin DL
    JCO Clin Cancer Inform; 2019 Oct; 3():1-12. PubMed ID: 31584836
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Use of Natural Language Processing Tools to Identify and Classify Periprosthetic Femur Fractures.
    Tibbo ME; Wyles CC; Fu S; Sohn S; Lewallen DG; Berry DJ; Maradit Kremers H
    J Arthroplasty; 2019 Oct; 34(10):2216-2219. PubMed ID: 31416741
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity.
    Clapp MA; Kim E; James KE; Perlis RH; Kaimal AJ; McCoy TH; Easter SR
    JAMA Netw Open; 2022 Oct; 5(10):e2234924. PubMed ID: 36197662
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.
    Ribelles N; Jerez JM; Rodriguez-Brazzarola P; Jimenez B; Diaz-Redondo T; Mesa H; Marquez A; Sanchez-Muñoz A; Pajares B; Carabantes F; Bermejo MJ; Villar E; Dominguez-Recio ME; Saez E; Galvez L; Godoy A; Franco L; Ruiz-Medina S; Lopez I; Alba E
    Eur J Cancer; 2021 Feb; 144():224-231. PubMed ID: 33373867
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Discerning tumor status from unstructured MRI reports--completeness of information in existing reports and utility of automated natural language processing.
    Cheng LT; Zheng J; Savova GK; Erickson BJ
    J Digit Imaging; 2010 Apr; 23(2):119-32. PubMed ID: 19484309
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A systematic review of natural language processing for classification tasks in the field of incident reporting and adverse event analysis.
    Young IJB; Luz S; Lone N
    Int J Med Inform; 2019 Dec; 132():103971. PubMed ID: 31630063
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study.
    Ridgway JP; Uvin A; Schmitt J; Oliwa T; Almirol E; Devlin S; Schneider J
    JMIR Med Inform; 2021 Mar; 9(3):e23456. PubMed ID: 33688848
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Automatic extraction of imaging observation and assessment categories from breast magnetic resonance imaging reports with natural language processing.
    Liu Y; Zhu LN; Liu Q; Han C; Zhang XD; Wang XY
    Chin Med J (Engl); 2019 Jul; 132(14):1673-1680. PubMed ID: 31268905
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.
    Chan L; Beers K; Yau AA; Chauhan K; Duffy Á; Chaudhary K; Debnath N; Saha A; Pattharanitima P; Cho J; Kotanko P; Federman A; Coca SG; Van Vleck T; Nadkarni GN
    Kidney Int; 2020 Feb; 97(2):383-392. PubMed ID: 31883805
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of Preanesthetic History Elements by a Natural Language Processing Engine.
    Suh HS; Tully JL; Meineke MN; Waterman RS; Gabriel RA
    Anesth Analg; 2022 Dec; 135(6):1162-1171. PubMed ID: 35841317
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cohort profile: St. Michael's Hospital Tuberculosis Database (SMH-TB), a retrospective cohort of electronic health record data and variables extracted using natural language processing.
    Landsman D; Abdelbasit A; Wang C; Guerzhoy M; Joshi U; Mathew S; Pou-Prom C; Dai D; Pequegnat V; Murray J; Chokar K; Banning M; Mamdani M; Mishra S; Batt J
    PLoS One; 2021; 16(3):e0247872. PubMed ID: 33657184
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Methodological Approach to Validate Pneumonia Encounters from Radiology Reports Using Natural Language Processing.
    Panny A; Hegde H; Glurich I; Scannapieco FA; Vedre JG; VanWormer JJ; Miecznikowski J; Acharya A
    Methods Inf Med; 2022 May; 61(1-02):38-45. PubMed ID: 35381617
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Natural Language Processing to Identify Advance Care Planning Documentation in a Multisite Pragmatic Clinical Trial.
    Lindvall C; Deng CY; Moseley E; Agaronnik N; El-Jawahri A; Paasche-Orlow MK; Lakin JR; Volandes A; Tulsky TAIJA
    J Pain Symptom Manage; 2022 Jan; 63(1):e29-e36. PubMed ID: 34271146
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Natural language processing to identify ureteric stones in radiology reports.
    Li AY; Elliot N
    J Med Imaging Radiat Oncol; 2019 Jun; 63(3):307-310. PubMed ID: 30720244
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Natural Language Processing for Automated Classification of Qualitative Data From Interviews of Patients With Cancer.
    Fang C; Markuzon N; Patel N; Rueda JD
    Value Health; 2022 Dec; 25(12):1995-2002. PubMed ID: 35840523
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.