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 *

194 related articles for article (PubMed ID: 37694452)

  • 1. An interpretable deep learning framework for predicting liver metastases in postoperative colorectal cancer patients using natural language processing and clinical data integration.
    Li J; Wang X; Cai L; Sun J; Yang Z; Liu W; Wang Z; Lv H
    Cancer Med; 2023 Sep; 12(18):19337-19351. PubMed ID: 37694452
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing.
    Han S; Zhang RF; Shi L; Richie R; Liu H; Tseng A; Quan W; Ryan N; Brent D; Tsui FR
    J Biomed Inform; 2022 Mar; 127():103984. PubMed ID: 35007754
    [TBL] [Abstract][Full Text] [Related]  

  • 3. LSTM-Based Prediction Model for Tuberculosis Among HIV-Infected Patients Using Structured Electronic Medical Records: A Retrospective Machine Learning Study.
    Chen J; Liu L; Huang J; Jiang Y; Yin C; Zhang L; Li Z; Lu H
    J Multidiscip Healthc; 2024; 17():3557-3573. PubMed ID: 39070689
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Natural language processing with deep learning for medical adverse event detection from free-text medical narratives: A case study of detecting total hip replacement dislocation.
    Borjali A; Magnéli M; Shin D; Malchau H; Muratoglu OK; Varadarajan KM
    Comput Biol Med; 2021 Feb; 129():104140. PubMed ID: 33278631
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A Question-and-Answer System to Extract Data From Free-Text Oncological Pathology Reports (CancerBERT Network): Development Study.
    Mitchell JR; Szepietowski P; Howard R; Reisman P; Jones JD; Lewis P; Fridley BL; Rollison DE
    J Med Internet Res; 2022 Mar; 24(3):e27210. PubMed ID: 35319481
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non-Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study.
    Hu D; Li S; Zhang H; Wu N; Lu X
    JMIR Med Inform; 2022 Apr; 10(4):e35475. PubMed ID: 35468085
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Natural Language Processing for Automated Quantification of Brain Metastases Reported in Free-Text Radiology Reports.
    Senders JT; Karhade AV; Cote DJ; Mehrtash A; Lamba N; DiRisio A; Muskens IS; Gormley WB; Smith TR; Broekman MLD; Arnaout O
    JCO Clin Cancer Inform; 2019 Apr; 3():1-9. PubMed ID: 31002562
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Extracting comprehensive clinical information for breast cancer using deep learning methods.
    Zhang X; Zhang Y; Zhang Q; Ren Y; Qiu T; Ma J; Sun Q
    Int J Med Inform; 2019 Dec; 132():103985. PubMed ID: 31627032
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Using deep learning and natural language processing models to detect child physical abuse.
    Shahi N; Shahi AK; Phillips R; Shirek G; Lindberg DM; Moulton SL
    J Pediatr Surg; 2021 Dec; 56(12):2326-2332. PubMed ID: 33838900
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits' text.
    Guazzo A; Longato E; Fadini GP; Morieri ML; Sparacino G; Di Camillo B
    Sci Rep; 2023 Nov; 13(1):19132. PubMed ID: 37926737
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI.
    Heo TS; Kim YS; Choi JM; Jeong YS; Seo SY; Lee JH; Jeon JP; Kim C
    J Pers Med; 2020 Dec; 10(4):. PubMed ID: 33339385
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Development of machine learning and natural language processing algorithms for preoperative prediction and automated identification of intraoperative vascular injury in anterior lumbar spine surgery.
    Karhade AV; Bongers MER; Groot OQ; Cha TD; Doorly TP; Fogel HA; Hershman SH; Tobert DG; Srivastava SD; Bono CM; Kang JD; Harris MB; Schwab JH
    Spine J; 2021 Oct; 21(10):1635-1642. PubMed ID: 32294557
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated outcome classification of emergency department computed tomography imaging reports.
    Yadav K; Sarioglu E; Smith M; Choi HA
    Acad Emerg Med; 2013 Aug; 20(8):848-54. PubMed ID: 24033628
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Ensembles of natural language processing systems for portable phenotyping solutions.
    Liu C; Ta CN; Rogers JR; Li Z; Lee J; Butler AM; Shang N; Kury FSP; Wang L; Shen F; Liu H; Ena L; Friedman C; Weng C
    J Biomed Inform; 2019 Dec; 100():103318. PubMed ID: 31655273
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques.
    Fatima R; Samad Shaikh N; Riaz A; Ahmad S; El-Affendi MA; Alyamani KAZ; Nabeel M; Ali Khan J; Yasin A; Latif RMA
    Comput Intell Neurosci; 2022; 2022():6561622. PubMed ID: 36156967
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 10.