Improving Depression Detection Through Biomedical Entity Linking: A Hybrid Approach Using Embedding Models and Full-Text Search Article Swipe

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Akshi Kumar , Saurabh Raj Sangwan , Aditi Sharma ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.2139/ssrn.5167842

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Depression (economics) Embedding Computer science Information retrieval Artificial intelligence Natural language processing Data science Economics Macroeconomics

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Type: preprint
Language: en
Landing Page: https://doi.org/10.2139/ssrn.5167842
OA Status: green
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DOI: https://doi.org/10.2139/ssrn.5167842

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Title: Improving Depression Detection Through Biomedical Entity Linking: A Hybrid Approach Using Embedding Models and Full-Text Search

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-01-01

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Authors: Akshi Kumar, Saurabh Raj Sangwan, Aditi Sharma

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Landing page: https://doi.org/10.2139/ssrn.5167842

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OA status: green

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OA URL: https://doi.org/10.2139/ssrn.5167842

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Concepts: Depression (economics), Embedding, Computer science, Information retrieval, Artificial intelligence, Natural language processing, Data science, Economics, Macroeconomics

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Cited by: 0

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References (count): 14

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Related works (count): 10

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