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Your search keyword '"Lelong, Romain"' showing total 8 results
Start Over Author "Lelong, Romain" Topic electronic health records
8 results on '"Lelong, Romain"'

1. Querying EHRs with a Semantic and Entity-Oriented Query Language.

Author

Lelong R, Soualmia L, Dahamna B, Griffon N, and Darmoni SJ

Subjects
Databases, Factual, Humans, Natural Language Processing, Semantics, Electronic Health Records, Information Storage and Retrieval methods, Search Engine methods
Abstract

While the digitization of medical documents has greatly expanded during the past decade, health information retrieval has become a great challenge to address many issues in medical research. Information retrieval in electronic health records (EHR) should also reduce the difficult tasks of manual information retrieval from records in paper format or computer. The aim of this article was to present the features of a semantic search engine implemented in EHRs. A flexible, scalable and entity-oriented query language tool is proposed. The program is designed to retrieve and visualize data which can support any Conceptual Data Model. The search engine deals with structured and unstructured data, for a sole patient from a caregiver perspective, and for a number of patients (e.g. epidemiology). Several types of queries on a test database containing 2,000 anonymized patients EHRs (i.e. approximately 200,000 records) were tested. These queries were able to accurately treat symbolic, textual, numerical and chronological data.

Published
2017

2. Retrieving Clinical and Omic Data from Electronic Health Records.

Author

Cabot C, Lelong R, Grosjean J, Soualmia LF, and Darmoni SJ

Subjects
Systems Integration, User-Computer Interface, Biological Ontologies organization & administration, Data Mining methods, Databases, Genetic, Electronic Health Records organization & administration, Medical Record Linkage methods, Natural Language Processing
Published
2016

3. InfoRoute: the CISMeF Context-specific Search Algorithm.

Author

Merabti T, Lelong R, and Darmoni S

Subjects
Translating, Algorithms, Data Mining methods, Electronic Health Records classification, Medical Record Linkage methods, Natural Language Processing, Vocabulary, Controlled
Abstract

Objective: The aim of this paper was to present a practical InfoRoute algorithm and applications developed by CISMeF to perform a contextual information retrieval across multiple medical websites in different health domains., Methods: The algorithm was developed to treat multiple types of queries: natural, Boolean and advanced. The algorithm also generates multiple types of queries: Boolean query, PubMed query or Advanced query. Each query can be extended via an inter alignments relationship from UMLS and HeTOP portal., Results: A web service and two web applications have been developed based on the InfoRoute algorithm to generate links-query across multiple websites, i.e.: "PubMed" or "ClinicalTrials.org"., Conclusion: The InfoRoute algorithm is a useful tool to perform contextual information retrieval across multiple medical websites in both English and French.

Published
2015

4. Rewriting Natural Language Queries Using Patterns

Author

Soualmia, Lina F., Lelong, Romain, Dahamna, Badisse, Darmoni, Stéfan J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Müller, Henning, editor, Jimenez del Toro, Oscar Alfonso, editor, Hanbury, Allan, editor, Langs, Georg, editor, and Foncubierta Rodriguez, Antonio, editor

Published
2015
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5. Evaluation of Doc'EDS: a French semantic search tool to query health documents from a clinical data warehouse.

Author

Pressat-Laffouilhère, Thibaut, Balayé, Pierre, Dahamna, Badisse, Lelong, Romain, Billey, Kévin, Darmoni, Stéfan J., and Grosjean, Julien

Subjects
DATA warehousing, KEYWORD searching, ELECTRONIC health records, NATURAL language processing, USER interfaces
Abstract

Background: Unstructured data from electronic health records represent a wealth of information. Doc'EDS is a pre-screening tool based on textual and semantic analysis. The Doc'EDS system provides a graphic user interface to search documents in French. The aim of this study was to present the Doc'EDS tool and to provide a formal evaluation of its semantic features. Methods: Doc'EDS is a search tool built on top of the clinical data warehouse developed at Rouen University Hospital. This tool is a multilevel search engine combining structured and unstructured data. It also provides basic analytical features and semantic utilities. A formal evaluation was conducted to measure the impact of Natural Language Processing algorithms. Results: Approximately 18.1 million narrative documents are stored in Doc'EDS. The formal evaluation was conducted in 5000 clinical concepts that were manually collected. The F-measures of negative concepts and hypothetical concepts were respectively 0.89 and 0.57. Conclusion: In this formal evaluation, we have shown that Doc'EDS is able to deal with language subtleties to enhance an advanced full text search in French health documents. The Doc'EDS tool is currently used on a daily basis to help researchers to identify patient cohorts thanks to unstructured data. [ABSTRACT FROM AUTHOR]

Published
2022
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6. Querying EHRs with a Semantic and Entity-Oriented Query Language

Author

Lelong, Romain, Soualmia, Lina, Dahamna, Badisse, Griffon, Nicolas, Darmoni, Stefan, Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), and Soualmia, Lina F

Subjects
Search Engine, Databases, Factual, Humans, Electronic Health Records, Information Storage and Retrieval, [INFO]Computer Science [cs], [INFO] Computer Science [cs], Controlled vocabulary, Natural Language Processing, Semantics
Abstract

International audience; While the digitization of medical documents has greatly expanded during the past decade, health information retrieval has become a great challenge to address many issues in medical research. Information retrieval in electronic health records (EHR) should also reduce the difficult tasks of manual information retrieval from records in paper format or computer. The aim of this article was to present the features of a semantic search engine implemented in EHRs. A flexible, scalable and entity-oriented query language tool is proposed. The program is designed to retrieve and visualize data which can support any Conceptual Data Model. The search engine deals with structured and unstructured data, for a sole patient from a caregiver perspective, and for a number of patients (e.g. epidemiology). Several types of queries on a test database containing 2,000 anonymized patients EHRs (i.e. approximately 200,000 records) were tested. These queries were able to accurately treat symbolic, textual, numerical and chronological data.

Published
2018

7. Retrieving Clinical and Omic Data from Electronic Health Records

Author

Cabot, Chloé, Lelong, Romain, Grosjean, Julien, Soualmia, Lina F., Darmoni, Stéfan, Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), and Soualmia, Lina F

Subjects
Systems Integration, User-Computer Interface, Biological Ontologies, Databases, Genetic, Data Mining, Electronic Health Records, [INFO]Computer Science [cs], Medical Record Linkage, [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS, Natural Language Processing
Abstract

International audience

Published
2016

8. InfoRoute: the CISMeF Context-specific Search Algorithm

Author

Merabti, Tayeb, Lelong, Romain, Darmoni, Stefan, Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), and Soualmia, Lina F

Subjects
Vocabulary, Controlled, Data Mining, Electronic Health Records, [INFO]Computer Science [cs], Medical Record Linkage, [INFO] Computer Science [cs], Translating, Algorithms, Natural Language Processing
Abstract

The aim of this paper was to present a practical InfoRoute algorithm and applications developed by CISMeF to perform a contextual information retrieval across multiple medical websites in different health domains.The algorithm was developed to treat multiple types of queries: natural, Boolean and advanced. The algorithm also generates multiple types of queries: Boolean query, PubMed query or Advanced query. Each query can be extended via an inter alignments relationship from UMLS and HeTOP portal.A web service and two web applications have been developed based on the InfoRoute algorithm to generate links-query across multiple websites, i.e.: "PubMed" or "ClinicalTrials.org".The InfoRoute algorithm is a useful tool to perform contextual information retrieval across multiple medical websites in both English and French.

Published
2015

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