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.
1221 related articles for article (PubMed ID: 30726935)
1. 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]
2. Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives. Albashayreh A; Bandyopadhyay A; Zeinali N; Zhang M; Fan W; Gilbertson White S JCO Clin Cancer Inform; 2024 Aug; 8():e2300235. PubMed ID: 39116379 [TBL] [Abstract][Full Text] [Related]
3. A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data. Dreisbach C; Koleck TA; Bourne PE; Bakken S Int J Med Inform; 2019 May; 125():37-46. PubMed ID: 30914179 [TBL] [Abstract][Full Text] [Related]
4. Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review. Sim JA; Huang X; Horan MR; Stewart CM; Robison LL; Hudson MM; Baker JN; Huang IC Artif Intell Med; 2023 Dec; 146():102701. PubMed ID: 38042599 [TBL] [Abstract][Full Text] [Related]
5. Natural Language Processing in Surgery: A Systematic Review and Meta-analysis. Mellia JA; Basta MN; Toyoda Y; Othman S; Elfanagely O; Morris MP; Torre-Healy L; Ungar LH; Fischer JP Ann Surg; 2021 May; 273(5):900-908. PubMed ID: 33074901 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. Rich Text Formatted EHR Narratives: A Hidden and Ignored Trove. Zeng Z; Zhao Y; Sun M; Vo AH; Starren J; Luo Y Stud Health Technol Inform; 2019 Aug; 264():472-476. PubMed ID: 31437968 [TBL] [Abstract][Full Text] [Related]
10. Inventory of tools for Dutch clinical language processing. Cornet R; Van Eldik A; De Keizer N Stud Health Technol Inform; 2012; 180():245-9. PubMed ID: 22874189 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. An Automated Feature Engineering for Digital Rectal Examination Documentation using Natural Language Processing. Bozkurt S; Park JI; Kan KM; Ferrari M; Rubin DL; Brooks JD; Hernandez-Boussard T AMIA Annu Symp Proc; 2018; 2018():288-294. PubMed ID: 30815067 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Temporal information extraction from mental health records to identify duration of untreated psychosis. Viani N; Kam J; Yin L; Bittar A; Dutta R; Patel R; Stewart R; Velupillai S J Biomed Semantics; 2020 Mar; 11(1):2. PubMed ID: 32156302 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Systematic review of current natural language processing methods and applications in cardiology. Reading Turchioe M; Volodarskiy A; Pathak J; Wright DN; Tcheng JE; Slotwiner D Heart; 2022 May; 108(12):909-916. PubMed ID: 34711662 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. Sheikhalishahi S; Miotto R; Dudley JT; Lavelli A; Rinaldi F; Osmani V JMIR Med Inform; 2019 Apr; 7(2):e12239. PubMed ID: 31066697 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]