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Personalized Cancer Diagonisis Using Genetic Dataset and ML Models

2025-05-12

Abstract excerpt

<title>Abstract</title> <p>Accurate genetic mutation classification is critical for precision medicine, but traditional models struggle with the complexity of unstructured textual data. This research addresses these challenges by transforming mutation descriptions into structured numerical representations, improving machine interpretability and model performance.Our approach utilizes TF-IDF vectorization to repre...

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Literature Corpus work
e8e87fc0-848f-52cd-864f-14f059e2f12d
DOI
10.21203/rs.3.rs-6587007/v1
Open publication

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Personalized Cancer Diagonisis Using Genetic Dataset and ML ModelsDOI 10.21203/rs.3.rs-6587007/v1
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