Apache cTAKES 2014


See also:

Apache cTAKES 2015Apache OpenNLP & Coreference Resolution 2014 | Apache OpenNLP 2011 | Apache OpenNLP 2013 | DKPro (Darmstadt Knowledge Processing) | MaxEnt & Dialog Systems 2014 | SPARQL & Natural Language Question Answering 2012 | UIMA & Dialog Systems


Using natural language processing to improve efficiency of manual chart abstraction in research: the case of breast cancer recurrence DS Carrell, S Halgrim, DT Tran… – American journal of …, 2014 – Oxford Univ Press … NLP software and resources. We developed our system with the open-source Apache clinical Text Analysis and Knowledge Extraction System (cTAKES) (33, 34), Python (35), and SQL (36). cTAKES is an NLP platform with components specifically trained on clinical text. … Cited by 14 Related articles All 7 versions

ClearTK 2.0: Design patterns for machine learning in UIMA S Bethard, P Ogren, L Becker – Proceedings of the Ninth International …, 2014 – lrec-conf.org … Since its inception in 2008, ClearTK has been adopted by multiple developers worldwide in both academia and indus- try (including University of Colorado, Technische Univer- sität Darmstadt, Apache cTAKES, Thomson Reuters, and 3M) and has been employed on diverse … Cited by 8 Related articles

TIDA: A Spanish EHR Semantic Search Engine R Costumero, C Gonzalo, E Menasalvas – 8th International Conference on …, 2014 – Springer … see Figure 1) presents the following components: a DB as common data storage system with all hospital’s data, from reports to images and patient’s structured information which will serve information to the immediate upper level of components; the Mayo/Apache cTAKES as free … Cited by 1 Related articles All 3 versions

Carrell et al. Respond to “Observational Research and the EHR” DS Carrell, S Halgrim, DT Tran… – American journal of …, 2014 – Oxford Univ Press … Indeed, in the spirit of advancing portability and reproducibility, we have contributed to the Apache cTAKES (4) NLP system. … Apache. Apache cTAKES, The Apache Software Foundation, 2013. http://ctakes.apache.org/. Accessed December 8, 2013. … Related articles All 7 versions

Open Source Clinical NLP–More than Any Single System J Masanz, SV Pakhomov, H Xu, ST Wu… – AMIA Summits on …, 2014 – ncbi.nlm.nih.gov … Meanwhile, Apache cTAKES aims to integrate best-of-breed annotators, providing a world-class NLP system for accessing clinical information within free-text. These two activities are complementary. OHNLP … 3.1. Apache cTAKES. After … Related articles All 4 versions

Domain Independent Natural Language Processing–A Case Study for Hospital Readmission with COPD A Agarwal, S Mulpura, RS Behara… – … (BIBE), 2014 IEEE …, 2014 – ieeexplore.ieee.org … The background for this paper can be divided into three categories broadly: Apache UIMA, Apache cTAKES and Text analysis. … III. METHODOLOGY The system liberally borrows some of the components from the Apache UIMA framework and Apache cTAKES. … Related articles

Panel: Clinical Natural Language Processing in Languages Other Than English A Névéol, H Dalianis, G Savova, P Zweigenbaum – perso.limsi.fr … 2014). Integrating languages other than English in Apache cTAKES Apache cTAKES (ctakes.apache.org) has been quite successful in assembling and sustaining a global community of developers and users of state-of-the-art English language clinical NLP. … Related articles All 2 versions

Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record C Lin, EW Karlson, D Dligach… – Journal of the …, 2014 – jamia.oxfordjournals.org … For features, Apache clinical Text Analysis and Knowledge Extraction System (cTAKES) was used to extract standard vocabulary from relevant sections of the unstructured clinical narrative. … The DocTimeRel model was released as part of Apache cTAKES. … Cited by 1 Related articles All 5 versions

Electronic Health Records Analytics: Natural Language Processing and Image Annotation R Costumero, A Garcia-Pedrero, I Sánchez… – BIG DATA AND …, 2014 – ict-ontic.eu … serve information to the immediate upper level of components. • Mayo/Apache cTAKES A free-text analysis system built upon Mayo’s cTAKES frame- work. This framework relies on information gathered through UMLS from different … Related articles

Concept selection for phenotypes and disease-related annota-tions using support vector machines N Collier, A Oellrich, T Groza – Proc. PhenoDay and …, 2014 – phenoday2014.bio-lark.org … In this paper, we investigate the utility of four existing conceptual coding pipelines (ie MetaMap [13], Apache cTAKES [14], NCBO annotator [15] and BeCAS [16]) in order to identify and harmonise the phenotypes and other concepts related to the diagnosis and treatment of … Cited by 1 Related articles

Disease Template Filling using the CTAKES YTEX Branch JD Osborne – ceur-ws.org … The base system employed was the YTEX branch of ctakes, specifically revision 1588688 at https://svn.apache.org/repos/asf/ctakes/branches/ytex. Default set- tings were used for YTEX, including a concept window length of 10. The 2013AB version of UMLS was used. … Related articles

Negation’s not solved: generalizability versus optimizability in clinical natural language processing S Wu, T Miller, J Masanz, M Coarr, S Halgrim, D Carrell… – 2014 – dx.plos.org … The SHARPn Polarity Module used in our evaluation is currently available in Apache cTAKES (clinical Text Analysis and Knowledge Extraction System; ctakes.apache.org) as part of the ctakes-assertion project, including an integrated domain adaptation algorithm [9]. cTAKES … Cited by 5 Related articles All 12 versions

A broad-coverage collection of portable NLP components for building shareable analysis pipelines RE de Castilho, I Gurevych – Proceedings of the Workshop on …, 2014 – anthology.aclweb.org … purpose. The Apache cTAKES project (Savova et al., 2010) offers a UIMA-based pipeline for the analysis of medical records which includes components from ClearNLP, OpenNLP, and more for the basic language analysis. These … Cited by 18 Related articles All 7 versions

Induced lexico-syntactic patterns improve information extraction from online medical forums S Gupta, DL MacLean, J Heer… – Journal of the …, 2014 – jamia.oxfordjournals.org … types. Other existing tools such as MetaMap,10 the open biomedical annotator (OBA),11 and Apache cTakes12 perform poorly mainly because they are designed for fine-grained entity extraction on expert-authored text. They … Cited by 6 Related articles All 6 versions

Prognostic COPD Healthcare Management System P Jain – Hospital, 2014 – fau.digital.flvc.org … two architectures/frameworks which are used ie Apache UIMA and Apache cTAKES. Unstructured Information Management architecture (UIMA) is a framework used for … Page 35. 24 and Apache cTAKES (Clinical Text Analysis and knowledge Extraction System). These … Related articles All 3 versions

Mining for adverse drug events on twitter F Duval, E Caffarena, O Cruz, F Silva – researchgate.net … However, it is neither free anymore nor open source, so we chose cTAKES, an Apache NLP for extraction of medical data, using some sources that we will use to create our benchmark. … Available: http://ctakes.apache.org/ [Accessed April 2014]. Dataminr [Online]. … Related articles

TeamUEvora at CLEF eHealth 2014 Task2a J Sequeira, N Miranda, T Gonçalves… – CLEF (Working Notes …, 2014 – ceur-ws.org … Page 4. We used the output of the clinical Text Analysis and Knowledge Extraction System (cTAKES) [4] (version 3.1.1). cTAKES2 is a open source linguistic tool kit from the Apache Software Foundation. Some operations done by cTAKES include: … 2 http://ctakes.apache.org/ 159 … Cited by 1 Related articles All 4 versions

Natural language processing in biomedicine: a unified system architecture overview S Doan, M Conway, TM Phuong… – Clinical …, 2014 – Springer … gold standard [ 41 , 42 ]. 3.6 cTAKES. The cTAKES (http://?ctakes.?apache.?org/?) system [ 43 ], initiated by a Mayo-IBM collaboration in 2000, was first released as an open-source toolkit in 2009 by Savova et al. It is an open … Cited by 5 Related articles All 8 versions

ThinkMiners: Disorder Recognition using Conditional Random Fields and Distributional Semantics A Parikh, A PVS, J Mustafi, L Agarwalla, A Mungi – SemEval 2014, 2014 – aclweb.org … BIO representation means the 1https://ctakes. apache. org/ words in the text are assigned one of the follow- ing tags B-begin, I-inside and O-outside of the entity ie in this case a disorder. So now the task of NER is a sequence labeling problem to assign the labels to the tokens. … Cited by 1 Related articles All 9 versions

LinkedHealthAnswers: Towards Linked Data-driven Question Answering for the Health Care Domain A Ostankov?, F Röhrbein?, U Waltinger – researchgate.net … cTakes (Haase et al., 2008) Java Apache clinical Text Analysis and Knowledge Extraction System; based on UIMA; Apache Software License Table 1: Existing frameworks that have been analyzed. … Springer. (2008). ctakes. Website: http://ctakes.apache.org/. … Related articles All 4 versions

Clinical Practice Knowledge Acquisition and Interrogation using Natural Language D Mendes – 2014 – rdpc.uevora.pt … 29 2.10.3 Apache Unstructured Information Management Architecture (UIMA) . . . . 29 2.10.4 Apache clinical Text Analysis and Knowledge Extraction System (cTAKES) . . 31 2.11 Tools for Ontology manipulation . . . . . 32 … Related articles All 4 versions

Discovering body site and severity modifiers in clinical texts D Dligach, S Bethard, L Becker… – Journal of the …, 2014 – jamia.oxfordjournals.org … result replication we make the gold standard corpus we used in our experiments available to the research community, and release our best-performing methods open source as part of the Apache clinical Text Analysis and Knowledge Extraction System28 (cTAKES)29 allowing … Cited by 8 Related articles All 12 versions

Detecting Associations between Major Depressive Disorder Treatment and Essential Hypertension using Electronic Health Records J Pathak, G Simon, D Li, JM Biernacka… – AMIA Summits on …, 2014 – ncbi.nlm.nih.gov … In addition to the information collected as part of the trial, we retrospectively applied structured data and NLP queries using cTAKES (http://ctakes.apache.org) for extracting vital signs (including systolic and diastolic BP measurements), medications, diagnoses, signs and … Related articles All 4 versions

Clinical decision support with natural language processing facilitates determination of colonoscopy surveillance intervals TD Imler, J Morea, TF Imperiale – Clinical Gastroenterology and Hepatology, 2014 – Elsevier … the reports, we used the clinical text analysis and knowledge extraction system (cTAKES), an open-source, freely available, Java-based, NLP engine 28 licensed under the Apache License, version 2.0 (Apache Software Foundation, Forest Hill, MD). cTAKES was designed to … Cited by 14 Related articles All 5 versions

A Novel Text Analysis Platform for Pharmacovigilance of Clinical Drugs A Maitra, KM Annervaz, TG Jain, M Shivaram… – Procedia Computer …, 2014 – Elsevier … 17]; In ctakes.apache.org/. ? Peer-review under responsibility of scientific committee of Missouri University of Science and Technology. Corresponding author. Tel.: +91 80 43162608. Copyright © 2014 Published by Elsevier BV. … Related articles All 2 versions

Extracting medical Concepts from medical social media with clinical NLP tools: a qualitative study K Denecke – Proceedings of the Fourth Workshop on Building and …, 2014 – nactem.ac.uk … cedures, anatomy and drugs. cTAKES was built using the Apache UIMA Unstructured Information Management Ar- chitecture engineering framework and OpenNLP natural language processing toolkit. Its components are specifi … Cited by 1 Related articles All 2 versions

Sophia: a expedient UMLS concept extraction annotator G Divita, QT Zeng, AV Gundlapalli… – AMIA Annual …, 2014 – ncbi.nlm.nih.gov … clinical text. Among them, cTAKES and HITex are well represented in the field. MetaMap … KnowledgeMap 10 . Many of these efforts are built upon two frameworks adopted or developed for use within the NLP field: GATE 11 and Apache-UIMA. A … Cited by 2 Related articles All 4 versions

Text Analysis and Information Extraction from Spanish Written Documents R Costumero, Á García-Pedrero… – Brain Informatics and …, 2014 – Springer … Apache OpenNLP: Apache software foundation (2011), http://opennlp.apache.org 17. … Savova, GK, Masanz, JJ, Ogren, PV, Zheng, J., Sohn, S., Kipper-Schuler, KC, Chute, CG: Mayo clinical text analysis and knowledge extraction system (ctakes): architecture, component … Related articles All 2 versions

Automating Data Abstraction in a Quality Improvement Platform for Surgical and Interventional Procedures M Yetisgen, P Klassen, P Tarczy-Hornoch – EGEMS, 2014 – ncbi.nlm.nih.gov … Some systems (MedLEE) are proprietary and others (cTAKES, HiTEX) rely on third party frameworks like Apache UIMA and GATE, which we felt required too much time and effort to extend and customize to accommodate our particular data and system requirements. … Related articles All 6 versions

Evaluation of YTEX and MetaMap for clinical concept recognition JD Osborne, B Gyawali, T Solorio – arXiv preprint arXiv:1402.1668, 2014 – arxiv.org … We did download and informally evaluate cTAKES but found the dictionary lookup an- notator component by matching tokenized Lucene (http://lucene.apache.org/) indexed dictionary entries and was therefore unable to distinguish different con- cepts sharing the same lexical … Cited by 7 Related articles All 4 versions

Practical implementation of an existing smoking detection pipeline and reduced support vector machine training corpus requirements R Khor, WK Yip, M Bressel, W Rose… – Journal of the …, 2014 – jamia.oxfordjournals.org … The clinical Text Analysis and Knowledge Extraction System (cTAKES) 2.513 smoking status detection package uses an analysis pipeline first … the Bedside (i2b2) initiative (see https://www.i2b2.org/) challenge.14 It has subsequently been released under the Apache License … Cited by 5 Related articles All 9 versions

Detecting earlier indicators of homelessness in the free text of medical records A Redd, M Carter, G Divita, S Shen… – Stud Health Technol …, 2014 – books.google.com … project. V3NLP Framework is APACHE UIMA- AS [6] based and includes the cTAKES trained openNLP part-of-speech tagger and phraser, MetaMap phrase mapping to UMLS concepts, and NegexII [7] to detect negation. The … Cited by 3 Related articles All 6 versions

Recognizing Questions and Answers in EMR Templates Using Natural Language Processing G Divita, S Shen, ME Carter, A Redd… – Stud Health Technol …, 2014 – books.google.com … V3NLP Framework is APACHE UIMA-AS [5] based and includes “best-of-breed” annotation components, including the cTAKES trained openNLP part-of-speech tagger and phraser, MetaMap phrase mapping to UMLS concepts, and NegexII [6, 7] negation. … Cited by 2 Related articles All 6 versions

Comparing MMTx and a Lucene-based Lookup Module to Extract Drug Concepts From Clinical Documents JC Thibault, SM Meystre – researchgate.net … LULU is an aggregation of the following UIMA components: a tokenizer, a POS tagger, a chunker, and the Lucene wrapper presented above. The tokenizer is a modified version of the cTAKES tokenizer. … 2. Apache. UIMA (Unstructured Information Management Architecture). … Related articles

UIMA Ruta Workbench: Rule-based Text Annotation PKM Toepfer – COLING 2014, 2014 – anthology.aclweb.org … upon UIMA are the DeepQA system Watson (Ferrucci et al., 2010) and the clinical Text Analysis and Knowledge Extraction System (cTAKES)(Savova et … UIMA Ruta is developed by an active community1 and is released like UIMA under the industry-friendly Apache License 2.0. … Cited by 1 Related articles All 6 versions

Disease Name Extraction from Clinical Text Using Conditional Random Fields O Ghiasvand – 2014 – dc.uwm.edu … Some of the tools developed are MedLEE [6], MetaMap [7], and cTAKES [8]. The most recent tools of NER are based on machine … Another team that participated in ShARE/CLEF 2013 NLP challenge, used integrated cTAKES for concept mention detection [15]. … Cited by 2 Related articles All 2 versions

[BOOK] Text Mining of Web-based Medical Content A Neustein – 2014 – books.google.com Page 1. Amy Neustein (Ed.) Text Mining of Web-Based Medical Content Page 2. Speech Technology and Text Mining in Medicine and Health Care Series Editor Amy Neustein Additional Titles in the Series Neustein (Ed.), Speech … Related articles All 4 versions

A corpus-based approach for automated LOINC mapping M Fidahussein, DJ Vreeman – Journal of the American …, 2014 – jamia.oxfordjournals.org … The first based on supervised machine learning was created using Apache’s OpenNLP Maxent and the second based on information retrieval was created using Apache’s Lucene. … We used Apache’s Lucene V.3.0.324 to create an information retrieval-based model. … Cited by 3 Related articles All 8 versions

Tactical Clinical Text Mining for Improved Patient Characterization H Champion, N Pizzi… – Big Data (BigData …, 2014 – ieeexplore.ieee.org … We present the experience we have gained applying text mining tools to this challenging domain, as well as a comparison of our solution to cTAKES (clinical Text Analysis and Knowledge Extraction System), an open-source clinical text miner, on a set of prescription documents … Related articles All 3 versions

Complex epilepsy phenotype extraction from narrative clinical discharge summaries L Cui, SS Sahoo, SD Lhatoo, G Garg, P Rai… – Journal of biomedical …, 2014 – Elsevier … Our previous work [14] provided a regular-expression-based clinical free text processing approach called Epilepsy Data Extraction and Annotation (EpiDEA) that extends cTAKES for analyzing … Apache Tika [20] was used to extract text from PDF or Microsoft Word documents. … Cited by 2 Related articles All 6 versions

Personalized Search over Medical Forums A Kumar, AK Meher, S Sarkar – Mining Intelligence and Knowledge …, 2014 – Springer … Apache Solr, http://solr.apache.org 11. Apache Lucene, http://lucene.apache.org 12. … 17–21 (2001) 13. Savova, GK, Masanz, JJ, Orgen, PV, et al.: Mayo clinical Text Analysis and Knowledge Extraction System(cTAKES): architecture, component evaluation and applications. … Related articles All 3 versions

MedXN: an open source medication extraction and normalization tool for clinical text S Sohn, C Clark, SR Halgrim… – Journal of the …, 2014 – jamia.oxfordjournals.org … 32 and diagnosis code assignment.33 ,34 Our system uses basic NLP techniques (eg, tokenization, sentence segmentation) from cTAKES20 and … Meystre et al47 used knowledge engineering with existing software, OpenNLP (http://opennlp.apache.org/) and MetaMap.48 Li et al … Cited by 7 Related articles All 5 versions

Application of a Hybrid Text Mining Approach to the Study of Suicidal Behavior in a Large Population KW Hammond, RJ Laundry – System Sciences (HICSS), 2014 …, 2014 – ieeexplore.ieee.org … [2] Savova GK, Masanz JJ, Ogren PV, Zheng J, Sohn S, Kipper-Schuler KC, et al. Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. … Am J Prev Med. 1998 May;14(4):245-58. [13] Apache Lucene Core. … Related articles All 5 versions

Text mining of cancer-related information: Review of current status and future directions I Spasi?, J Livsey, JA Keane, G Nenadi? – International journal of medical …, 2014 – Elsevier This paper reviews the research literature on text mining (TM) with the aim to find out (1) which cancer domains have been the subject of TM efforts, (2) which. Cited by 12 Related articles All 7 versions

Towards Transforming Expert-based Content to Evidence-based Content S Moosavinasab, M Rastegar-Mojarad… – AMIA Summits on …, 2014 – ncbi.nlm.nih.gov … 2004. 19. Savova GK, Masanz JJ, Ogren PV, et al. Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. J Am Med Inform Assoc. … 21. Lucene [Internet] Available from: http://lucene.apache.org/. 22. … Cited by 4 Related articles All 4 versions

ezDI: A Hybrid CRF and SVM based Model for Detecting and Encoding Disorder Mentions in Clinical Notes P Pathak, P Patel, V Panchal, N Choudhary… – SemEval …, 2014 – anthology.aclweb.org … Over the last few years many different Clin- ical NLP systems like cTAKES (Savova, Guer- gana K., et al., 2010), MetaMap (A. Aronson, 2001), MedLEE (C. Friedman et al., 1994) have been developed to extract medical concepts from a clinical document. … apache. … Cited by 1 Related articles All 8 versions

Applying natural language processing to clinical information retrieval J Cogley – 2014 – irserver.ucd.ie Page 1. Provided by the author(s) and University College Dublin Library in accordance with publisher policies. Please cite the published version when available. Downloaded 2015-08-28T19:09:09Z Some rights reserved. For …

Normalization of Chinese Informal Medical Terms Based on Multi-field Indexing Y Xia, H Zhao, K Liu, H Zhu – Natural Language Processing and Chinese …, 2014 – Springer … Wu et al. (2012) compare performance of some some current medical term normal- ization tools, eg, MetaMap, MedLEE, and cTAKES. … 313 1 http://lucene.apache.org/ 2 http://en.wikipedia.org/ wiki/Okapi BM25 3 http://mednlp.jp/ntcir11/#task Page 4. 2.2 Language Normalization … Related articles All 5 versions

Natural language processing: Integration of automatic and manual analysis R Eckart de Castilho – 2014 – tuprints.ulb.tu-darmstadt.de … Furthermore, I would like to extend my gratitude to the communities of uimaFIT, of the Apache UIMA framework, and of the Stanford CoreNLP framework, in particular Philip Ogren, Steven Bethard, Marshall Schor, and John Bauer. … 106 5.1.2.2 cTAKES . . . . . … Cited by 2 Related articles All 3 versions

Processing biological literature with customizable web services supporting interoperable formats R Rak, RT Batista-Navarro, J Carter… – …, 2014 – database.oxfordjournals.org … 7), and others that are focussed on biomedical solutions, eg the clinical Text Analysis and Knowledge Extraction System (cTAKES) library (8 … is popular as a data-exchange format in UIMA applications because of the fact that the open-source, Apache-licensed implementation of … Cited by 6 Related articles All 8 versions

A review of approaches to identifying patient phenotype cohorts using electronic health records C Shivade, P Raghavan… – Journal of the …, 2014 – jamia.oxfordjournals.org Skip to main content. OUP user menu. … Cited by 34 Related articles All 13 versions

Interoperability and Customisation of Annotation Schemata in Argo R Rak, J Carter, A Rowley, RT Batista-Navarro… – lrec-conf.org … UIMA is an Apache Software Foundation open- source project and is commonly utilised for the process- ing of language resources. Notable examples of UIMA component repositories include U-Compare (Kano et al., 2010), DKPro (Gurevych et al., 2007), cTAKES (Savova et al … Related articles

Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records RJ Byrd, SR Steinhubl, J Sun, S Ebadollahi… – International journal of …, 2014 – Elsevier Early detection of Heart Failure (HF) could mitigate the enormous individual and societal burden from this disease. Clinical detection is based, in part, on rec. Cited by 18 Related articles All 9 versions

Automated extraction of family history information from clinical notes R Bill, S Pakhomov, ES Chen, TJ Winden… – AMIA Annual …, 2014 – ncbi.nlm.nih.gov … Currently, most established clinical natural language processing (NLP) systems (eg, MedLEE(11–13) and cTAKES(14)) are primarily focused … UIMA, originally developed by IBM, is now an open source Apache document annotation framework that provides functionality to write … Cited by 1 Related articles All 4 versions

Ontology-Based Information Extraction: Identifying Eligible Patients for Clinical Trials in Neurology P Geibel, M Trautwein, H Erdur, L Zimmermann… – Journal on Data …, 2014 – Springer … The Apache clinical Text Analysis and Knowledge Extraction System (cTAKES) [31] also pursues a linguistic approach to information extraction for documents, but is not tailored to documents written in German or to the problem of patient identification. … Related articles

MEDCIS: Multi-modality epilepsy data capture and integration system GQ Zhang, L Cui, S Lhatoo, SU Schuele… – AMIA Annual …, 2014 – ncbi.nlm.nih.gov … 15, 16] is an ontology-driven clinical free text processing system that extends the clinical Text Analysis and Knowledge Extraction System (cTAKES) [25] for … We use the Apache Jena Ontology API for parsing the EpSO OWL file to extract all the classes while preserving the class … Cited by 6 Related articles All 5 versions

Knowledge-based Extraction of Measurement-Entity Relations from German Radiology Reports O Heiner, B Claudia, Z Sonja… – … (ICHI), 2014 IEEE …, 2014 – ieeexplore.ieee.org … Finally the best entity is selected (8) in dependence of some threshold criteria. 2http://uima.apache. org/ … VII. RELATED WORK Medical text analytics has been conducted in the context of the cTAKES project [13], which is also based on the UIMA framework, and MedLee [14]. … Cited by 1 Related articles All 2 versions

ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpus Z Afzal, E Pons, N Kang, MCJM Sturkenboom… – BMC …, 2014 – biomedcentral.com … a trigger term. The ContextD algorithm expects a sentence with marked conditions as its input. We used the Dutch sentence splitter in the Apache OpenNLP library [34] to split the text into sentences. Using our custom UMLS … Cited by 3 Related articles All 8 versions

Ontology-guided health information extraction, organization, and exploration L Cui – 2014 – etd.ohiolink.edu … 17 2.2.3 EpilepsyandSeizureOntology . . . . . 17 2.3 InformationExtractionfromClinicalText . . . . . 19 2.3.1 cTAKES . . . . . 20 iii Page 4. 2.3.2 MetaMap . . . . . 20 … Cited by 3 Related articles All 3 versions

UIMA ruta: Rapid development of rule-based information extraction applications P Kluegl, M Toepfer, PD Beck… – Natural Language …, 2014 – Cambridge Univ Press … Since UIMA Ruta makes extensive use of its main concepts, they are shortly introduced in the following paragraph. 2 http://uima.apache.org/ruta.html Page 5. UIMA Ruta 5 … 2010) and the clinical Text Analysis and Knowledge Extraction System (cTAKES) (Savova et al. 2010). … Cited by 10 Related articles All 3 versions

CiteFinder: a System to Find and Rank Medical Citations SS Moosavinasab – 2014 – dc.uwm.edu … We used the open-source Apache Lucene software 3 for indexing, search and retrieval. … In general, snippets can contain text summaries, image 1 http://www.ncbi.nlm.nih.gov/pubmed/ 2 http://www.nlm.nih.gov/mesh/intro_retrieval.html 3 https://lucene.apache.org Page 18. 8 …

Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives GT Gobbel, R Reeves, S Jayaramaraja, D Giuse… – Journal of biomedical …, 2014 – Elsevier … Multiple NLP systems have been developed that are capable of mapping clinical free-text to concepts [26]; examples include the Mayo Clinic Autocoder [27], the SNOMED Categorizer (SNOCat) [28], cTAKES [29], IndexFinder [30], KnowledgeMap [31], MedLEE [32], HITex [33 … Cited by 4 Related articles All 7 versions

Technology Roadmap Development for Big Data Healthcare Applications S Zillner, S Neururer – KI-Künstliche Intelligenz, 2014 – Springer Page 1. TECHNICAL CONTRIBUTION Technology Roadmap Development for Big Data Healthcare Applications Sonja Zillner • Sabrina Neururer Received: 29 August 2014 / Accepted: 4 December 2014 © Springer-Verlag Berlin Heidelberg 2014 … Cited by 1 Related articles

Framework for Smart Electronic Health Record-Linked Predictive Models to Optimize Care for Complex Digestive Diseases MA Dunn, M Saul – 2014 – DTIC Document … Analysis engines for OA and OE, are executed in the Unstructured Information Management Architecture (UIMA) environment, an open-source, Apache-supported component software platform for unstructured information analysis. … Related articles All 2 versions

Medical event timeline generation from clinical narratives P Raghavan – 2014 – etd.ohiolink.edu Page 1. MEDICAL EVENT TIMELINE GENERATION FROM CLINICAL NARRATIVES DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Preethi Raghavan, BS, MS … Related articles All 4 versions