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URL: https://www.robotreviewer.net/about
Proper Citation: RobotReviewer (RRID:SCR_021064)
Description: Open source web based system that uses machine learning and NLP to semi automate biomedical evidence synthesis, to aid practice of Evidence Based Medicine. Processes full text journal articles describing randomized controlled trials. Designed to automatically extract key data items from reports of clinical trials.
Synonyms: Automating Biomedical Evidence Synthesis
Resource Type: software resource, text-mining software, software application, web application
Defining Citation: PMID:29093610, DOI:10.1093/jamia/ocv044
Keywords: Data automatic extraction, clinical trial reports, automatically extract key data, Evidence Based Medicine, text journal articles processing, randomized controlled trials
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
