scholarly article | Q13442814 |
P50 | author | Lina F. Soualmia | Q43118369 |
Stefan J Darmoni | Q54878100 | ||
Julien Grosjean | Q57560775 | ||
Romain Lelong | Q89172619 | ||
Mehdi Taalba | Q92145171 | ||
P2860 | cites work | Natural language processing in biomedicine: a unified system architecture overview | Q27009056 |
Big data analytics in healthcare: promise and potential | Q28649383 | ||
BioPortal: ontologies and integrated data resources at the click of a mouse | Q29617519 | ||
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers. | Q30986406 | ||
Use of a data warehouse at an academic medical center for clinical pathology quality improvement, education, and research | Q30987895 | ||
Retrieving Clinical and Omic Data from Electronic Health Records | Q31075477 | ||
Integration of clinical and genetic data in the i2b2 architecture. | Q31095239 | ||
The Enterprise Data Trust at Mayo Clinic: a semantically integrated warehouse of biomedical data | Q33535114 | ||
STRIDE--An integrated standards-based translational research informatics platform | Q33626790 | ||
Methodology of integration of a clinical data warehouse with a clinical information system: the HEGP case | Q33692689 | ||
DW4TR: A Data Warehouse for Translational Research | Q34004318 | ||
Roogle: an information retrieval engine for clinical data warehouse | Q34011534 | ||
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications | Q34371773 | ||
An overview of MetaMap: historical perspective and recent advances | Q34372056 | ||
Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). | Q34399891 | ||
How essential are unstructured clinical narratives and information fusion to clinical trial recruitment? | Q35098914 | ||
Semantic integration of medication data into the EHOP Clinical Data Warehouse | Q35635735 | ||
Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE) | Q35924262 | ||
The Unified Medical Language System. | Q36144544 | ||
Using Electronic Health Records to Build an Ophthalmologic Data Warehouse and Visualize Patients' Data | Q36330873 | ||
A review of approaches to identifying patient phenotype cohorts using electronic health records. | Q37598951 | ||
Evaluation of the Terminology Coverage in the French Corpus LiSSa | Q38377874 | ||
Querying EHRs with a Semantic and Entity-Oriented Query Language | Q38377879 | ||
A search tool based on 'encapsulated' MeSH thesaurus to retrieve quality health resources on the Internet | Q38437546 | ||
Health multi-terminology portal: a semantic added-value for patient safety. | Q38489221 | ||
Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review. | Q38669400 | ||
Impact of electronic health record clinical decision support on diabetes care: a randomized trial. | Q42005411 | ||
Clinical Information Extraction Applications: A Literature Review | Q47433545 | ||
Clinical Natural Language Processing in languages other than English: opportunities and challenges | Q52618423 | ||
A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse | Q57600875 | ||
[The ConSoRe project supports the implementation of big data in oncology] | Q88692033 | ||
Trends in electronic health record usage among US colleges of pharmacy | Q89479179 | ||
P433 | issue | 4 | |
P921 | main subject | data warehouses | Q193351 |
P304 | page(s) | e13917 | |
P577 | publication date | 2019-12-20 | |
P1433 | published in | JMIR medical informatics | Q27726043 |
P1476 | title | Building a Semantic Health Data Warehouse in the Context of Clinical Trials: Development and Usability Study | |
P478 | volume | 7 |
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