137 related articles for article (PubMed ID: 34795079)
21. 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]
22. Text analysis framework for identifying mutations among non-small cell lung cancer patients from laboratory data.
Yusuf A; Boyne DJ; O'Sullivan DE; Brenner DR; Cheung WY; Mirza I; Jarada TN
BMC Med Res Methodol; 2024 Mar; 24(1):63. PubMed ID: 38468224
[TBL] [Abstract][Full Text] [Related]
23. Extracting Concepts Related to Homelessness from the Free Text of VA Electronic Medical Records.
Gundlapalli AV; Carter ME; Divita G; Shen S; Palmer M; South B; Durgahee BS; Redd A; Samore M
AMIA Annu Symp Proc; 2014; 2014():589-98. PubMed ID: 25954364
[TBL] [Abstract][Full Text] [Related]
24. Automatic Extraction of Risk Factors for Dialysis Patients from Clinical Notes Using Natural Language Processing Techniques.
Michalopoulos G; Qazi H; Wong A; Butt Z; Chen H
Stud Health Technol Inform; 2020 Jun; 270():53-57. PubMed ID: 32570345
[TBL] [Abstract][Full Text] [Related]
25. Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes.
Steinkamp JM; Bala W; Sharma A; Kantrowitz JJ
J Biomed Inform; 2020 Feb; 102():103354. PubMed ID: 31838210
[TBL] [Abstract][Full Text] [Related]
26. Syntactic parsing of clinical text: guideline and corpus development with handling ill-formed sentences.
Fan JW; Yang EW; Jiang M; Prasad R; Loomis RM; Zisook DS; Denny JC; Xu H; Huang Y
J Am Med Inform Assoc; 2013; 20(6):1168-77. PubMed ID: 23907286
[TBL] [Abstract][Full Text] [Related]
27. Natural language processing for structuring clinical text data on depression using UK-CRIS.
Vaci N; Liu Q; Kormilitzin A; De Crescenzo F; Kurtulmus A; Harvey J; O'Dell B; Innocent S; Tomlinson A; Cipriani A; Nevado-Holgado A
Evid Based Ment Health; 2020 Feb; 23(1):21-26. PubMed ID: 32046989
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. General Symptom Extraction from VA Electronic Medical Notes.
Divita G; Luo G; Tran LT; Workman TE; Gundlapalli AV; Samore MH
Stud Health Technol Inform; 2017; 245():356-360. PubMed ID: 29295115
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Clinical Concept Normalization on Medical Records Using Word Embeddings and Heuristics.
Silva JF; Antunes R; Almeida JR; Matos S
Stud Health Technol Inform; 2020 Jun; 270():93-97. PubMed ID: 32570353
[TBL] [Abstract][Full Text] [Related]
32. Extracting temporal information from electronic patient records.
Li M; Patrick J
AMIA Annu Symp Proc; 2012; 2012():542-51. PubMed ID: 23304326
[TBL] [Abstract][Full Text] [Related]
33. Review of Temporal Reasoning in the Clinical Domain for Timeline Extraction: Where we are and where we need to be.
Olex AL; McInnes BT
J Biomed Inform; 2021 Jun; 118():103784. PubMed ID: 33862232
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Automated Learning of Temporal Expressions.
Redd D; Shaoa Y; Yang J; Divita G; Zeng-Treitler Q
Stud Health Technol Inform; 2015; 216():639-42. PubMed ID: 26262129
[TBL] [Abstract][Full Text] [Related]
36. Comparison of ACM and CLAMP for Entity Extraction in Clinical Notes.
Shah-Mohammadi F; Cui W; Finkelstein J
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1989-1992. PubMed ID: 34891677
[TBL] [Abstract][Full Text] [Related]
37. Knowledge-Driven Event Extraction in Russian: Corpus-Based Linguistic Resources.
Solovyev V; Ivanov V
Comput Intell Neurosci; 2016; 2016():4183760. PubMed ID: 26955386
[TBL] [Abstract][Full Text] [Related]
38. Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review.
Khanbhai M; Anyadi P; Symons J; Flott K; Darzi A; Mayer E
BMJ Health Care Inform; 2021 Mar; 28(1):. PubMed ID: 33653690
[TBL] [Abstract][Full Text] [Related]
39. Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms.
Viani N; Kam J; Yin L; Verma S; Stewart R; Patel R; Velupillai S
Stud Health Technol Inform; 2019 Aug; 264():418-422. PubMed ID: 31437957
[TBL] [Abstract][Full Text] [Related]
40. De-identifying free text of Japanese electronic health records.
Kajiyama K; Horiguchi H; Okumura T; Morita M; Kano Y
J Biomed Semantics; 2020 Sep; 11(1):11. PubMed ID: 32958039
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
