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DisEmbed : Embeddings for Disease

2024-12-17

Abstract excerpt

<title>Abstract</title> <p>The medical domain is vast and diverse, with many existing embedding models focused on general healthcare applications. However, these models often struggle to capture a deep understanding of diseases due to their broad generalization across the entire medical field. To address this gap, I present DisEmbed, a disease-focused embedding model. DisEmbed is trained on a synthetic dataset sp...

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Identifiers and source

Literature Corpus work
9e38a2d1-3ae0-5ed8-a497-079036d255c1
DOI
10.21203/rs.3.rs-5653003/v1
Open publication

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DisEmbed : Embeddings for DiseaseDOI 10.21203/rs.3.rs-5653003/v1
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