442 related articles for article (PubMed ID: 29191207)
1. Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.
Weng WH; Wagholikar KB; McCray AT; Szolovits P; Chueh HC
BMC Med Inform Decis Mak; 2017 Dec; 17(1):155. PubMed ID: 29191207
[TBL] [Abstract][Full Text] [Related]
2. A comparison of word embeddings for the biomedical natural language processing.
Wang Y; Liu S; Afzal N; Rastegar-Mojarad M; Wang L; Shen F; Kingsbury P; Liu H
J Biomed Inform; 2018 Nov; 87():12-20. PubMed ID: 30217670
[TBL] [Abstract][Full Text] [Related]
3. Word2Vec inversion and traditional text classifiers for phenotyping lupus.
Turner CA; Jacobs AD; Marques CK; Oates JC; Kamen DL; Anderson PE; Obeid JS
BMC Med Inform Decis Mak; 2017 Aug; 17(1):126. PubMed ID: 28830409
[TBL] [Abstract][Full Text] [Related]
4. A clinical text classification paradigm using weak supervision and deep representation.
Wang Y; Sohn S; Liu S; Shen F; Wang L; Atkinson EJ; Amin S; Liu H
BMC Med Inform Decis Mak; 2019 Jan; 19(1):1. PubMed ID: 30616584
[TBL] [Abstract][Full Text] [Related]
5. Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
Ferrario A; Demiray B; Yordanova K; Luo M; Martin M
J Med Internet Res; 2020 Sep; 22(9):e19133. PubMed ID: 32866108
[TBL] [Abstract][Full Text] [Related]
6. Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?
Wang Y; Coiera E; Magrabi F
J Am Med Inform Assoc; 2020 Oct; 27(10):1502-1509. PubMed ID: 32574362
[TBL] [Abstract][Full Text] [Related]
7. Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.
Oleynik M; Kugic A; Kasáč Z; Kreuzthaler M
J Am Med Inform Assoc; 2019 Nov; 26(11):1247-1254. PubMed ID: 31512729
[TBL] [Abstract][Full Text] [Related]
8. Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes.
Ye J; Yao L; Shen J; Janarthanam R; Luo Y
BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 11):295. PubMed ID: 33380338
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Ontology-driven and weakly supervised rare disease identification from clinical notes.
Dong H; Suárez-Paniagua V; Zhang H; Wang M; Casey A; Davidson E; Chen J; Alex B; Whiteley W; Wu H
BMC Med Inform Decis Mak; 2023 May; 23(1):86. PubMed ID: 37147628
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Classification of clinically useful sentences in clinical evidence resources.
Morid MA; Fiszman M; Raja K; Jonnalagadda SR; Del Fiol G
J Biomed Inform; 2016 Apr; 60():14-22. PubMed ID: 26774763
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
[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. Use of word and graph embedding to measure semantic relatedness between Unified Medical Language System concepts.
Mao Y; Fung KW
J Am Med Inform Assoc; 2020 Oct; 27(10):1538-1546. PubMed ID: 33029614
[TBL] [Abstract][Full Text] [Related]
17. Development and Validation of Machine Models Using Natural Language Processing to Classify Substances Involved in Overdose Deaths.
Goodman-Meza D; Shover CL; Medina JA; Tang AB; Shoptaw S; Bui AAT
JAMA Netw Open; 2022 Aug; 5(8):e2225593. PubMed ID: 35939303
[TBL] [Abstract][Full Text] [Related]
18. Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.
Lin C; Hsu CJ; Lou YS; Yeh SJ; Lee CC; Su SL; Chen HC
J Med Internet Res; 2017 Nov; 19(11):e380. PubMed ID: 29109070
[TBL] [Abstract][Full Text] [Related]
19. Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking.
Chen L; Fu W; Gu Y; Sun Z; Li H; Li E; Jiang L; Gao Y; Huang Y
J Am Med Inform Assoc; 2020 Oct; 27(10):1576-1584. PubMed ID: 33029642
[TBL] [Abstract][Full Text] [Related]
20. Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports.
Chen PH; Zafar H; Galperin-Aizenberg M; Cook T
J Digit Imaging; 2018 Apr; 31(2):178-184. PubMed ID: 29079959
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
