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Open AccessJournal ArticleDOI

A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse.

TLDR
Dr. Warehouse is dedicated to translational research with cohort recruitment capabilities, high throughput phenotyping and patient centric views (including similarity metrics among patients), and features leverage Natural Language Processing based on the extraction of UMLS® concepts, as well as negation and family history detection.
About
This article is published in Journal of Biomedical Informatics.The article was published on 2018-03-01 and is currently open access. It has received 76 citations till now. The article focuses on the topics: Data warehouse & Database model.

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Diagnosis of genetic diseases in seriously ill children by rapid whole-genome sequencing and automated phenotyping and interpretation

TL;DR: A platform for population-scale, provisional diagnosis of genetic diseases with automated phenotyping and interpretation and could aid clinicians to expedite an accurate genetic disease diagnosis, potentially hastening lifesaving changes to patient care.
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Artificial Intelligence (AI) in Rare Diseases: Is the Future Brighter?

TL;DR: This review aims to collect and summarize AI approaches being used in RDs and a section dedicated to congenital disorders of glycosylation (CDG), a particular group of orphan RDs that can serve as a potential study model for other common diseases and RDs, has been included.
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French administrative health care database (SNDS): The value of its enrichment.

TL;DR: The value of SNIIRAM/SNDS enrichment by external databases, and the linkage issues, is exposed and a multidisciplinary team with medical, pharmacological and methodological knowledge, as well as with technical skills is essential.
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Response to First Course of Intensified Immunosuppression in Genetically Stratified Steroid Resistant Nephrotic Syndrome

TL;DR: Patients with monogenic steroid-resistant nephrotic syndrome had a poor therapeutic response and no post-transplant recurrence, and in genetic-testing-negative patients, there was an association between response to first intensified immunosuppression and long-term outcome.
References
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Journal ArticleDOI

A statistical interpretation of term specificity and its application in retrieval

TL;DR: It is argued that terms should be weighted according to collection frequency, so that matches on less frequent, more specific, terms are of greater value than matches on frequent terms.
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Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

TL;DR: The cTAKES annotations are the foundation for methods and modules for higher-level semantic processing of clinical free-text, and its components, specifically trained for the clinical domain, create rich linguistic and semantic annotations.
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The Unified Medical Language System.

TL;DR: The UMLS project and current developments in high-speed, high-capacity international networks are converging in ways that have great potential for enhancing access to biomedical information.
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The Unified Medical Language System

TL;DR: The UMLS project and current developments in high-speed, high-capacity international networks are converging in ways that have great potential for enhancing access to biomedical information.
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PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.

TL;DR: A novel method to scan phenomic data for genetic associations using International Classification of Disease billing codes, which are available in most EMR systems, and develops a code translation table to automatically define 776 different disease populations and their controls using prevalent ICD9 codes derived from EMR data.
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