ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2020
BRret: Retrieval of Brain Research Related Literature.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research Domain Criteria (RDoC), which is a recently introduced framework for mental illness, utilizes various units of analysis from genetics, neural circuits, etc., for accurate multi-dimensional classification of mental illnesses. Due to the large amount of relevant biomedical research available, automating the process of extracting evidence from the literature to assist with the curation of the RDoC matrix is essential for processing the full breadth of data in an accurate and cost-effective manner. In this work, we formulate the task of information retrieval of brain research literature from general PubMed abstracts. We develop BRret (Brain Research retriever), a novel algorithm for brain research related article retrieval. We use a large dataset of PubMed abstracts annotated with RDoC concepts to demonstrate the effectiveness of BRret. To the best of our knowledge, this is the first study aimed at automated retrieval of brain research related literature.
Identifiers
32477623PMC7233046What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.