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Leveraging word embeddings and medical entity extraction for biomedical dataset retrieval using unstructured texts

https://doi.org/10.1093/database/bax091
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Indexing by latent semantic analysis
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Indexing by L atent D irichlet A llocation and an E nsemble M odel
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Gene Ontology: tool for the unification of biology
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The FAIR Guiding Principles for scientific data management and stewardship
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The Unified Medical Language System
inferredcites →https://doi.org/10.1093/bioinformatics/btt317openalex-snapshot
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inferredcites →https://doi.org/10.1093/database/bar043openalex-snapshot
The NIDDK Central Repository at 8 years--Ambition, Revision, Use and Impact
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BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences
inferredcites →https://doi.org/10.1093/database/bax056openalex-snapshot
Elsevier’s approach to the bioCADDIE 2016 Dataset Retrieval Challenge
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BioSearch: a semantic search engine for Bio2RDF
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A publicly available benchmark for biomedical dataset retrieval: the reference standard for the 2016 bioCADDIE dataset retrieval challenge
inferredcites →https://doi.org/10.1093/database/bax062openalex-snapshot
Multi-field query expansion is effective for biomedical dataset retrieval
inferredcites →https://doi.org/10.1093/database/bax068openalex-snapshot
Information retrieval for biomedical datasets: the 2016 bioCADDIE dataset retrieval challenge
inferredcites →https://doi.org/10.1093/jamia/ocv136openalex-snapshot
The NIH Big Data to Knowledge (BD2K) initiative
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inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot
Latent dirichlet allocation
inferredcites →https://doi.org/10.5860/choice.46-2715openalex-snapshot
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inferredcites →https://doi.org/10.7551/mitpress/1120.003.0082openalex-snapshot
Latent Dirichlet Allocation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Learning Domain‐specific Semantic Representation from Weakly Supervised Data to Improve Research Dataset Retrieval
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Designing a Novel Framework for Precision Medicine Information Retrieval
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Deep Learning Based Architecture for Entity Extraction from Covid Related Documents
inferred← citeshttps://doi.org/10.1007/s10579-018-9431-1openalex-snapshot
MedSTS: a resource for clinical semantic textual similarity
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An integrated pipeline model for biomedical entity alignment
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From scattered sources to comprehensive technology landscape : A recommendation-based retrieval approach
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Developing a standardized but extendable framework to increase the findability of infectious disease datasets
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Addressing barriers in FAIR data practices for biomedical data
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DeepSuggest: Using Neural Networks to Suggest Related Keywords for a Comprehensive Search of Clinical Notes
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A supervised term ranking model for diversity enhanced biomedical information retrieval
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A clinical text classification paradigm using weak supervision and deep representation
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A semantic relationship mining method among disorders, genes, and drugs from different biomedical datasets
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An improved BM25 algorithm for clinical decision support in Precision Medicine based on co-word analysis and Cuckoo Search
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A model of integrating convolution and BiGRU dual-channel mechanism for Chinese medical text classifications
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ENTITY EXTRACTION FROM UNSTRUCTURED MEDICAL TEXT
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Cognitive Emotional Embedded Representations of Text to Predict Suicidal Ideation and Psychiatric Symptoms
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A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction
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