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有關 ClinicalKey: Terminology driven Semantic Search. 的學術文章 | |
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ClinicalKey: Terminology driven Semantic Search
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由 S Arabandi 著作 — It is designed from the ground up to pro- vide improved access to clinical information, providing comprehensive, trusted clinical answers quickly (Figure 1). 2 ...
[PDF] ClinicalKey: Terminology driven Semantic Search
Semantic Scholar
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Semantic Scholar
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What Is Semantic Scholar? Semantic Scholar is a free, AI-powered research tool for scientific literature, based at Ai2. Learn More. About. About UsMeet the Team ...
ClinicalKey: Terminology driven Semantic Search
Academia.edu
https://www.academia.edu › ClinicalKe...
Academia.edu
https://www.academia.edu › ClinicalKe...
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Extracting key concepts from clinical texts for indexing is an important task in implementing a medical digital library. Several methods are proposed for ...
Misuse of semantics and basic statistical terms in original ...
ClinicalKey
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ClinicalKey
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2017年12月1日 — Semantics are incredibly important for medical writing, as they provide clarity to the intended message [1] .
Helen Moran
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ClinicalKey: Terminology driven Semantic Search. ICBO 2012. [+][–]. Coauthor network. maximize. Note that this feature is a work in progress and that it is ...
ClinicalKey: A Point-of-Care Search Engine
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Through controlled vocabulary, ClinicalKey offers a cross section of resources on diseases and procedures, from journals to e-books and practice guidelines to ...
ClinicalKey AI Conversational Search
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2024年4月29日 — ClinicalKey AI leverages generative AI technology to generate summary clinical answers with citation from the latest evidence-based content.
Elsevier Introduces SciBite Chat, a transformative AI- ...
Diagnostics World News
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Diagnostics World News
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2024年5月16日 — SciBite Chat uniquely combines the strength of semantic search for accurate and traceable information retrieval and Large Language Models (LLMs) ...
Sivaram Arabandi
Academia.edu
https://independent.academia.edu › SivaramArabandi
Academia.edu
https://independent.academia.edu › SivaramArabandi
The underlying technology exploits SemRep semantic predications represented as a graph of interconnected nodes (predication arguments) and edges (predicates).
The quest for better clinical word vectors: Ontology based ...
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由 N Nath 著作2021被引用 21 次 — This research experiments with algorithms that augment word vectors with lexical constraints that are popular in NLP research and clinical domain constraints.