BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

404 related articles for article (PubMed ID: 24488511)

  • 1. 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]  

  • 2. Using natural language processing and machine learning to identify breast cancer local recurrence.
    Zeng Z; Espino S; Roy A; Li X; Khan SA; Clare SE; Jiang X; Neapolitan R; Luo Y
    BMC Bioinformatics; 2018 Dec; 19(Suppl 17):498. PubMed ID: 30591037
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Automated medical chart review for breast cancer outcomes research: a novel natural language processing extraction system.
    Chen Y; Hao L; Zou VZ; Hollander Z; Ng RT; Isaac KV
    BMC Med Res Methodol; 2022 May; 22(1):136. PubMed ID: 35549854
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Invited commentary: Observational research in the age of the electronic health record.
    Chute CG
    Am J Epidemiol; 2014 Mar; 179(6):759-61. PubMed ID: 24488512
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Natural Language Processing to Assess End-of-Life Quality Indicators in Cancer Patients Receiving Palliative Surgery.
    Lindvall C; Lilley EJ; Zupanc SN; Chien I; Udelsman BV; Walling A; Cooper Z; Tulsky JA
    J Palliat Med; 2019 Feb; 22(2):183-187. PubMed ID: 30328764
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Natural language processing improves identification of colorectal cancer testing in the electronic medical record.
    Denny JC; Choma NN; Peterson JF; Miller RA; Bastarache L; Li M; Peterson NB
    Med Decis Making; 2012; 32(1):188-97. PubMed ID: 21393557
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Facilitating clinical research through automation: Combining optical character recognition with natural language processing.
    Hom J; Nikowitz J; Ottesen R; Niland JC
    Clin Trials; 2022 Oct; 19(5):504-511. PubMed ID: 35608136
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automating the Capture of Structured Pathology Data for Prostate Cancer Clinical Care and Research.
    Odisho AY; Bridge M; Webb M; Ameli N; Eapen RS; Stauf F; Cowan JE; Washington SL; Herlemann A; Carroll PR; Cooperberg MR
    JCO Clin Cancer Inform; 2019 Jul; 3():1-8. PubMed ID: 31314550
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing.
    Moon S; Liu S; Scott CG; Samudrala S; Abidian MM; Geske JB; Noseworthy PA; Shellum JL; Chaudhry R; Ommen SR; Nishimura RA; Liu H; Arruda-Olson AM
    Int J Med Inform; 2019 Aug; 128():32-38. PubMed ID: 31160009
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 21.