149 related articles for article (PubMed ID: 34042717)
21. Negation Detection for Clinical Text Mining in Russian.
Funkner A; Balabaeva K; Kovalchuk S
Stud Health Technol Inform; 2020 Jun; 270():342-346. PubMed ID: 32570403
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Essential Elements of Natural Language Processing: What the Radiologist Should Know.
Chen PH
Acad Radiol; 2020 Jan; 27(1):6-12. PubMed ID: 31537505
[TBL] [Abstract][Full Text] [Related]
24. Feasibility of Automating Patient Acuity Measurement Using a Machine Learning Algorithm.
Brennan CW; Meng F; Meterko MM; D'Avolio LW
J Nurs Meas; 2016 Dec; 24(3):419-427. PubMed ID: 28714447
[TBL] [Abstract][Full Text] [Related]
25. An automated data verification approach for improving data quality in a clinical registry.
Tian Q; Liu M; Min L; An J; Lu X; Duan H
Comput Methods Programs Biomed; 2019 Nov; 181():104840. PubMed ID: 30777618
[TBL] [Abstract][Full Text] [Related]
26. Automated identification of medical concepts and assertions in medical text.
Rosales R; Farooq F; Krishnapuram B; Yu S; Fung G
AMIA Annu Symp Proc; 2010 Nov; 2010():682-6. PubMed ID: 21347065
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records.
Carson NJ; Mullin B; Sanchez MJ; Lu F; Yang K; Menezes M; Cook BL
PLoS One; 2019; 14(2):e0211116. PubMed ID: 30779800
[TBL] [Abstract][Full Text] [Related]
29. Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing.
Izquierdo JL; Ancochea J; ; Soriano JB
J Med Internet Res; 2020 Oct; 22(10):e21801. PubMed ID: 33090964
[TBL] [Abstract][Full Text] [Related]
30. Proposal and evaluation of FASDIM, a Fast And Simple De-Identification Method for unstructured free-text clinical records.
Chazard E; Mouret C; Ficheur G; Schaffar A; Beuscart JB; Beuscart R
Int J Med Inform; 2014 Apr; 83(4):303-12. PubMed ID: 24370391
[TBL] [Abstract][Full Text] [Related]
31. Predicting Postoperative Hospital Stay in Neurosurgery with Recurrent Neural Networks Based on Operative Reports.
Danilov G; Kotik K; Shifrin M; Strunina U; Pronkina T; Potapov A
Stud Health Technol Inform; 2020 Jun; 270():382-386. PubMed ID: 32570411
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. An unsupervised machine learning approach to segmentation of clinician-entered free text.
Wrenn JO; Stetson PD; Johnson SB
AMIA Annu Symp Proc; 2007 Oct; 2007():811-5. PubMed ID: 18693949
[TBL] [Abstract][Full Text] [Related]
34. Machine Learning-Based Intelligent Scoring of College English Teaching in the Field of Natural Language Processing.
Wang W
Comput Intell Neurosci; 2022; 2022():2754626. PubMed ID: 35965747
[TBL] [Abstract][Full Text] [Related]
35. Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.
Tan WK; Hassanpour S; Heagerty PJ; Rundell SD; Suri P; Huhdanpaa HT; James K; Carrell DS; Langlotz CP; Organ NL; Meier EN; Sherman KJ; Kallmes DF; Luetmer PH; Griffith B; Nerenz DR; Jarvik JG
Acad Radiol; 2018 Nov; 25(11):1422-1432. PubMed ID: 29605561
[TBL] [Abstract][Full Text] [Related]
36. Clinical Text Data Categorization and Feature Extraction Using Medical-Fissure Algorithm and Neg-Seq Algorithm.
Pagad NS; N P; Almuzaini KK; Maheshwari M; Gangodkar D; Shukla P; Alhassan M
Comput Intell Neurosci; 2022; 2022():5759521. PubMed ID: 35295284
[TBL] [Abstract][Full Text] [Related]
37. Ontologies, Knowledge Representation, and Machine Learning for Translational Research: Recent Contributions.
Robinson PN; Haendel MA
Yearb Med Inform; 2020 Aug; 29(1):159-162. PubMed ID: 32823310
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Diagnosis of Acute Poisoning using explainable artificial intelligence.
Chary M; Boyer EW; Burns MM
Comput Biol Med; 2021 Jul; 134():104469. PubMed ID: 34022488
[TBL] [Abstract][Full Text] [Related]
40. Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.
Nissim N; Shahar Y; Elovici Y; Hripcsak G; Moskovitch R
Artif Intell Med; 2017 Sep; 81():12-32. PubMed ID: 28456512
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]