jorgemf/kaggle_redefining_cancer_treatment
Personalized Medicine: Redefining Cancer Treatment with deep learning
This project helps medical researchers and oncologists quickly interpret genetic mutations. It takes medical papers or documents describing genetic variants and classifies them to identify mutations that contribute to tumor growth. The end-user is a medical professional or researcher who needs to efficiently process medical literature for personalized cancer treatment.
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Use this if you need to automate the classification of genetic mutations from scientific literature to identify their role in tumor development, reducing the manual effort involved.
Not ideal if your task involves general text classification outside of medical genomics, or if you require human-level interpretability for every classification decision.
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24
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12
Language
Python
License
MIT
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Last pushed
Nov 22, 2017
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