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Mining free-text medical records

D T Heinze, M L Morsch, J Holbrook
2001 Proceedings. AMIA Symposium  
Text mining projects can be characterized along four parameters: 1) the demands of the market in terms of target domain and specificity and depth of queries; 2) the volume and quality of text in the target  ...  We conclude that the current state-of-the-art in NLP is suitable for mining information of moderate content depth across a diverse collection of medical settings and specialties.  ...  of the information in free-text clinical documentation.  ... 
pmid:11825190 pmcid:PMC2243575 fatcat:ecaizw2ug5a6xgkx3ckxcyntwe

Multiple hierarchical classification of free-text clinical guidelines

Robert Moskovitch, Shiva Cohen-Kashi, Uzi Dror, Iftah Levy, Amit Maimon, Yuval Shahar
2006 Artificial Intelligence in Medicine  
Manual classification of free-text documents within a predefined hierarchy is highly time consuming. This is especially true for clinical guidelines, which are often indexed by multiple indices.  ...  Preliminary results are encouraging; a formal evaluation, including multiple training methods and evaluation measures, has been performed.  ...  Vaidurya uses three types of search: (1) free-text search, using standard key terms; (2) concept-based search, which uses the semantic-axes indexing structure, and (3) contextsensitive search, which exploits  ... 
doi:10.1016/j.artmed.2006.04.001 pmid:16730962 fatcat:wtafjbrifbabnfjcnm5qulabbq

Intelligent Word Embeddings of Free-Text Radiology Reports [article]

Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman, Daniel L. Rubin
2017 arXiv   pre-print
We propose a hybrid strategy that combines semantic-dictionary mapping and word2vec modeling for creating dense vector embeddings of free-text radiology reports.  ...  Best performance achieved was a weighted precision of 88% and weighted recall of 90%.  ...  Acknowledgement This work was supported in part by grants from the National Cancer Institute, National Institutes of Health, U01CA142555, 1U01CA190214, and 1U01CA187947  ... 
arXiv:1711.06968v1 fatcat:wy577y77m5cv3jbzoccozs3ygq

Creating segmented databases from free text for text retrieval

Lisa F. Rau, Paul S. Jacobs
1991 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '91  
Indexing text for accurate retrieval ZS a dificuli and in)-  ...  '1'l)c nc'xt section will discuss a number of performance Ii](,trics fop tllc system. 5 Performance Evaluation '1'l~e performance of this system seems to depend on four Illajor factors  ...  \\'llile the commercial success of this sort of system (l(~l)ends ulti)natiely on its ease of use, the quality of thẽ cxt, and user's perceptions of performance, the contri- l)u~ioll tolltresearclld  ... 
doi:10.1145/122860.122894 dblp:conf/sigir/RauJ91 fatcat:hvu3prfyinervfigc7fc5yqm5u

Intelligent Word Embeddings of Free-Text Radiology Reports

Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman, Daniel L Rubin
2018 AMIA Annual Symposium Proceedings  
We propose a hybrid strategy that combines semantic-dictionary mapping and word2vec modeling for creating dense vector embeddings of free-text radiology reports.  ...  Best performance achieved was a weighted precision of 88% and weighted recall of 90%.  ...  Acknowledgement This work was supported in part by grants from the National Cancer Institute, National Institutes of Health, U01CA142555, 1U01CA190214, and 1U01CA187947  ... 
pmid:29854105 pmcid:PMC5977573 fatcat:6yjs6eh72ndutaqh2ccrmvnooq

Automatically Extracting Structure from Free Text Addresses

Vinayak R. Borkar, Kaustubh Deshmukh, Sunita Sarawagi
2000 IEEE Data Engineering Bulletin  
Its scope includes the design, implementation, modelling, theory and application of database systems and their technology.  ...  Membership in the TC on Data Engineering is open to all current members of the IEEE Computer Society who are interested in database systems.  ...  Acknowledgements The research reported here was supported in part by the Rome Laboratory of the Air Force Systems Command and the Defense Advanced Research Projects Agency (DARPA) under contract number  ... 
dblp:journals/debu/BorkarDS00 fatcat:fvocj7xpjnhsvhsl5wgqxkip5i

Data Mining from Free-Text Health Records

Kristof Anetta
2020 Recent Advances in Slavonic Natural Languages Processing  
It introduces the reader to the promises and challenges of this enterprise and provides a short overview of the global state of the art and of the general absence of this kind of research in Central European  ...  It describes pl_ehr_cardio, a new corpus of Polish health records with 18 years' worth of medical text.  ...  Wacław Kuczmik, MD PhD, Tomasz Jadczyk, MD PhD, and Marcin Wita, MD PhD. This work has been partly supported by the Ministry of Education of CR within the LINDAT-CLARIAH-CZ project LM2018101.  ... 
dblp:conf/raslan/Anetta20 fatcat:rwxas26ylnblxap2pd6e5jqf44

Pulse: Mining Customer Opinions from Free Text [chapter]

Michael Gamon, Anthony Aue, Simon Corston-Oliver, Eric Ringger
2005 Lecture Notes in Computer Science  
We present a prototype system, code-named Pulse, for mining topics and sentiment orientation jointly from free text customer feedback.  ...  We describe the application of the prototype system to a database of car reviews. Pulse enables the exploration of large quantities of customer free text.  ...  The information is contained in free text, not in a set of answers elicited for a specific set of questions.  ... 
doi:10.1007/11552253_12 fatcat:g66cghsfznhqhj4zswsal6mjhe

Towards unstructured mortality prediction with free-text clinical notes [article]

Mohammad Hashir, Rapinder Sawhney
2019 arXiv   pre-print
A hierarchical architecture consisting of both convolutional and recurrent layers is used to concurrently model the different notes compiled in an individual hospital stay.  ...  This demonstrates the potential of unstructured data in enhancing mortality prediction and signifies the need to incorporate more raw unstructured data into current clinical prediction methods.  ...  Conclusion A study was performed on quantifying the performance of using unstructured free-text notes in the task of mortality prediction with comparison to existing approaches in practice and research  ... 
arXiv:1911.08437v1 fatcat:o7blbvmj4ba3ndy7tuprcwbgp4

Managing Free Text for Secondary Use of Health Data

N. Griffon, J. Charlet, S. J. Darmoni
2014 IMIA Yearbook of Medical Informatics  
Methods: A comprehensive review of medical informatics literature was performed to select some of the most interesting papers of KRM and natural language processing (NLP) published in 2013.  ...  The other three focus on NLP (corpus creation, de-identification, and co-reference resolution) and highlight the increase in NLP tools performances.  ...  Acknowledgement We would like to thank Martina Hutter for her support and the reviewers for their participation in the selection process of the IMIA Yearbook.  ... 
doi:10.15265/iy-2014-0037 pmid:25123738 pmcid:PMC4287081 fatcat:do7wu3fqibcz3bxmz557s6hf44

Search System Survey Report

Sirijodha Khalsa, Peter Cotroneo, Mingfang Wu
2018 Figshare  
We examined the practices that data repositories employ in helping users search their holdings and demonstrate the value of looking across disciplines at the common data discovery issues, such as relevancy  ...  (SQT1) • Majority of systems support free-text query, spatial query, temporal query, advanced query and faceted query.  ...  Each initiative addresses ever evolving resource types (e.g., from free text document, XML documents, images, web collections, to recently microblogs) and search tasks (e.g., ad hoc search, relevance feedback  ... 
doi:10.6084/m9.figshare.6011018 fatcat:6mihpgrowvcibgg3inedwarizu

Inferring Informational Goals from Free-Text Queries: A Bayesian Approach [article]

David Heckerman, Eric J. Horvitz
2015 arXiv   pre-print
Rather, they attempt to communicate their goals with common words and phrases that describe software functionality in terms of structure and objects they understand.  ...  We describe a Bayesian approach to modeling the relationship between words in a user's query for assistance and the informational goals of the user.  ...  Kristin Dukay and Eric Hawley led the team of usability experts who built the Answer Wizard knowledge bases.  ... 
arXiv:1301.7382v2 fatcat:dfqq4nzbdbgi5buv2qxt3s6dya

Bibliographic database access using free-text and controlled vocabulary: an evaluation

Jacques Savoy
2005 Information Processing & Management  
This paper evaluates and compares the retrieval effectiveness of various search models, based on either automatic text-word indexing or on manually assigned controlled descriptors.  ...  Third, the evaluations presented in this article study reveal the comparative retrieval performances that result from manual and automatic indexing in a variety of circumstances.  ...  From this table we cannot detect statistically significant differences when comparing manually assigned descriptors (labeled "MC & KW") with free-text indexing schemes based on the bibliographic records  ... 
doi:10.1016/j.ipm.2004.01.004 fatcat:5g22bzg7nndbrc4k2ameslvfyq

Automatic Coding for Neonatal Jaundice From Free Text Data Using Ensemble Methods [article]

Scott Werwath
2018 arXiv   pre-print
We develop a number of techniques for text preprocessing and feature selection and compare the effectiveness of different classification models.  ...  We show that using ensemble decision tree classification, both with AdaBoost and with bagging, outperforms support vector machines (SVM), the current state-of-the-art technique for neonatal jaundice coding  ...  information from free-text reports.  ... 
arXiv:1805.01054v1 fatcat:unkzs32zkjfizdav32oh3w4hwa

Medical Free-Text to Concept Mapping as an Information Retrieval Problem

Shahin Mirhosseini, Guido Zuccon, Bevan Koopman, Anthony Nguyen, Michael Lawley
2014 Proceedings of the 2014 Australasian Document Computing Symposium on - ADCS '14  
Concept mapping can be cast into an information retrieval (IR) problem: free-text mentions are treated as queries and concepts from a reference ontology as the documents to be indexed and retrieved.  ...  Concept mapping involves determining relevant concepts from a free-text input, where concepts are defined in an external reference ontology.  ...  Shahin Mirhosseini was supported by a CSIRO student scholarship; experiments were executed on equipment purchased with the support of the QUT SEF Large Equipment Grant #94.  ... 
doi:10.1145/2682862.2682880 dblp:conf/adcs/MirhosseiniZKNL14 fatcat:gmplah55crci5l73di2ew356cq
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