288 related articles for article (PubMed ID: 26262330)
1. Extraction Of Adverse Events From Clinical Documents To Support Decision Making Using Semantic Preprocessing.
Gaebel J; Kolter T; Arlt F; Denecke K
Stud Health Technol Inform; 2015; 216():1030. PubMed ID: 26262330
[TBL] [Abstract][Full Text] [Related]
2. Visualizing unstructured patient data for assessing diagnostic and therapeutic history.
Deng Y; Denecke K
Stud Health Technol Inform; 2014; 205():1158-62. PubMed ID: 25160371
[TBL] [Abstract][Full Text] [Related]
3. Extraction of Vital Signs from Clinical Notes.
Patterson OV; Jones M; Yao Y; Viernes B; Alba PR; Iwashyna TJ; DuVall SL
Stud Health Technol Inform; 2015; 216():1035. PubMed ID: 26262334
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Tool-supported Interactive Correction and Semantic Annotation of Narrative Clinical Reports.
Zvára K; Tomečková M; Peleška J; Svátek V; Zvárová J
Methods Inf Med; 2017 May; 56(3):217-229. PubMed ID: 28451691
[TBL] [Abstract][Full Text] [Related]
6. Identifying Patients with Depression Using Free-text Clinical Documents.
Zhou L; Baughman AW; Lei VJ; Lai KH; Navathe AS; Chang F; Sordo M; Topaz M; Zhong F; Murrali M; Navathe S; Rocha RA
Stud Health Technol Inform; 2015; 216():629-33. PubMed ID: 26262127
[TBL] [Abstract][Full Text] [Related]
7. Natural language processing to identify adverse drug events.
Gysbers M; Reichley R; Kilbridge PM; Noirot L; Nagarajan R; Dunagan WC; Bailey TC
AMIA Annu Symp Proc; 2008 Nov; ():961. PubMed ID: 18999130
[TBL] [Abstract][Full Text] [Related]
8. Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches.
Kasthurirathne SN; Dixon BE; Grannis SJ
Stud Health Technol Inform; 2015; 216():1070. PubMed ID: 26262369
[TBL] [Abstract][Full Text] [Related]
9. The need for harmonized structured documentation and chances of secondary use - results of a systematic analysis with automated form comparison for prostate and breast cancer.
Krumm R; Semjonow A; Tio J; Duhme H; Bürkle T; Haier J; Dugas M; Breil B
J Biomed Inform; 2014 Oct; 51():86-99. PubMed ID: 24747879
[TBL] [Abstract][Full Text] [Related]
10. Fast Model Adaptation for Automated Section Classification in Electronic Medical Records.
Ni J; Delaney B; Florian R
Stud Health Technol Inform; 2015; 216():35-9. PubMed ID: 26262005
[TBL] [Abstract][Full Text] [Related]
11. An efficient pancreatic cyst identification methodology using natural language processing.
Mehrabi S; Schmidt CM; Waters JA; Beesley C; Krishnan A; Kesterson J; Dexter P; Al-Haddad MA; Tierney WM; Palakal M
Stud Health Technol Inform; 2013; 192():822-6. PubMed ID: 23920672
[TBL] [Abstract][Full Text] [Related]
12. Development of a database and processing method for detecting hematotoxicity adverse drug events.
Shimai Y; Takeda T; Manabe S; Teramoto K; Mihara N; Matsumura Y
Stud Health Technol Inform; 2015; 210():65-9. PubMed ID: 25991103
[TBL] [Abstract][Full Text] [Related]
13. Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments.
Kim Y; Garvin J; Goldstein MK; Meystre SM
Stud Health Technol Inform; 2015; 216():599-603. PubMed ID: 26262121
[TBL] [Abstract][Full Text] [Related]
14. On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions.
Oronoz M; Gojenola K; Pérez A; de Ilarraza AD; Casillas A
J Biomed Inform; 2015 Aug; 56():318-32. PubMed ID: 26141794
[TBL] [Abstract][Full Text] [Related]
15. Automatic extraction of numerical values from unstructured data in EHRs.
Bigeard E; Jouhet V; Mougin F; Thiessard F; Grabar N
Stud Health Technol Inform; 2015; 210():50-4. PubMed ID: 25991100
[TBL] [Abstract][Full Text] [Related]
16. NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records.
Wang Y; Luo J; Hao S; Xu H; Shin AY; Jin B; Liu R; Deng X; Wang L; Zheng L; Zhao Y; Zhu C; Hu Z; Fu C; Hao Y; Zhao Y; Jiang Y; Dai D; Culver DS; Alfreds ST; Todd R; Stearns F; Sylvester KG; Widen E; Ling XB
Int J Med Inform; 2015 Dec; 84(12):1039-47. PubMed ID: 26254876
[TBL] [Abstract][Full Text] [Related]
17. A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.
Jiang M; Chen Y; Liu M; Rosenbloom ST; Mani S; Denny JC; Xu H
J Am Med Inform Assoc; 2011; 18(5):601-6. PubMed ID: 21508414
[TBL] [Abstract][Full Text] [Related]
18. Extraction of adverse drug effects from clinical records.
Aramaki E; Miura Y; Tonoike M; Ohkuma T; Masuichi H; Waki K; Ohe K
Stud Health Technol Inform; 2010; 160(Pt 1):739-43. PubMed ID: 20841784
[TBL] [Abstract][Full Text] [Related]
19. Automatic Selection of Clinical Trials Based on A Semantic Web Approach.
Cuggia M; Campillo-Gimenez B; Bouzille G; Besana P; Jouini W; Dufour JC; Zekri O; Gibaud I; Garde C; Duvauferier R
Stud Health Technol Inform; 2015; 216():564-8. PubMed ID: 26262114
[TBL] [Abstract][Full Text] [Related]
20. Semantic retrieval and navigation in clinical document collections.
Kreuzthaler M; Daumke P; Schulz S
Stud Health Technol Inform; 2015; 212():9-14. PubMed ID: 26063251
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]