224 related articles for article (PubMed ID: 33196504)
1. 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]
2. 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]
3. 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]
4. Identifying signs and symptoms of urinary tract infection from emergency department clinical notes using large language models.
Iscoe M; Socrates V; Gilson A; Chi L; Li H; Huang T; Kearns T; Perkins R; Khandjian L; Taylor RA
Acad Emerg Med; 2024 Jun; 31(6):599-610. PubMed ID: 38567658
[TBL] [Abstract][Full Text] [Related]
5. PASCLex: A comprehensive post-acute sequelae of COVID-19 (PASC) symptom lexicon derived from electronic health record clinical notes.
Wang L; Foer D; MacPhaul E; Lo YC; Bates DW; Zhou L
J Biomed Inform; 2022 Jan; 125():103951. PubMed ID: 34785382
[TBL] [Abstract][Full Text] [Related]
6. Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches.
Topaz M; Murga L; Gaddis KM; McDonald MV; Bar-Bachar O; Goldberg Y; Bowles KH
J Biomed Inform; 2019 Feb; 90():103103. PubMed ID: 30639392
[TBL] [Abstract][Full Text] [Related]
7. Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.
Koleck TA; Topaz M; Tatonetti NP; George M; Miaskowski C; Smaldone A; Bakken S
Res Nurs Health; 2021 Dec; 44(6):906-919. PubMed ID: 34637147
[TBL] [Abstract][Full Text] [Related]
8. Identifying Diabetes in Clinical Notes in Hebrew: A Novel Text Classification Approach Based on Word Embedding.
Topaz M; Murga L; Grossman C; Daliyot D; Jacobson S; Rozendorn N; Zimlichman E; Furie N
Stud Health Technol Inform; 2019 Aug; 264():393-397. PubMed ID: 31437952
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
11. The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notes.
Kashyap A; Burris H; Callison-Burch C; Boland MR
Int J Med Inform; 2020 May; 137():104101. PubMed ID: 32088556
[TBL] [Abstract][Full Text] [Related]
12. Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies.
Afshar M; Dligach D; Sharma B; Cai X; Boyda J; Birch S; Valdez D; Zelisko S; Joyce C; Modave F; Price R
J Am Med Inform Assoc; 2019 Nov; 26(11):1364-1369. PubMed ID: 31145455
[TBL] [Abstract][Full Text] [Related]
13. Extracting Alcohol and Substance Abuse Status from Clinical Notes: The Added Value of Nursing Data.
Topaz M; Murga L; Bar-Bachar O; Cato K; Collins S
Stud Health Technol Inform; 2019 Aug; 264():1056-1060. PubMed ID: 31438086
[TBL] [Abstract][Full Text] [Related]
14. Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium.
Pathak J; Bailey KR; Beebe CE; Bethard S; Carrell DC; Chen PJ; Dligach D; Endle CM; Hart LA; Haug PJ; Huff SM; Kaggal VC; Li D; Liu H; Marchant K; Masanz J; Miller T; Oniki TA; Palmer M; Peterson KJ; Rea S; Savova GK; Stancl CR; Sohn S; Solbrig HR; Suesse DB; Tao C; Taylor DP; Westberg L; Wu S; Zhuo N; Chute CG
J Am Med Inform Assoc; 2013 Dec; 20(e2):e341-8. PubMed ID: 24190931
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Automated Extraction of Pain Symptoms: A Natural Language Approach using Electronic Health Records.
Dave AD; Ruano G; Kost J; Wang X
Pain Physician; 2022 Mar; 25(2):E245-E254. PubMed ID: 35322976
[TBL] [Abstract][Full Text] [Related]
17. Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients.
Chen J; Yu H
J Biomed Inform; 2017 Apr; 68():121-131. PubMed ID: 28267590
[TBL] [Abstract][Full Text] [Related]
18. Detecting temporal expressions in medical narratives.
Reeves RM; Ong FR; Matheny ME; Denny JC; Aronsky D; Gobbel GT; Montella D; Speroff T; Brown SH
Int J Med Inform; 2013 Feb; 82(2):118-27. PubMed ID: 22595284
[TBL] [Abstract][Full Text] [Related]
19. Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives.
Gobbel GT; Reeves R; Jayaramaraja S; Giuse D; Speroff T; Brown SH; Elkin PL; Matheny ME
J Biomed Inform; 2014 Apr; 48():54-65. PubMed ID: 24316051
[TBL] [Abstract][Full Text] [Related]
20. A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews.
Chen J; Druhl E; Polepalli Ramesh B; Houston TK; Brandt CA; Zulman DM; Vimalananda VG; Malkani S; Yu H
J Med Internet Res; 2018 Jan; 20(1):e26. PubMed ID: 29358159
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
