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Deep Residual Networks with Range normalization for clinical text classification.

I need a deep learning model to identify important medical concepts mentions from clinical documents, and classify them into personal identifying information (PII) and the four SOAP predefined categories, such as disease, symptoms, treatment etc. We propose the use of sentence embeddings, with deep Residual Networks with with residual connections and range normalization simultaneously, and transfer learning to improve the accuracy of the model. This requires an expert in deep learning especially using neural networks.

Skills: Machine Learning

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About the Employer:
( 2 reviews ) Nairobi, Kenya

Project ID: #17990751

3 freelancers are bidding on average $123 for this job

dinhfreedom

--------------------------------------------very good -----------------------------------------------------------------------------------------

$20 USD in 1 day
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shivampanchal

I have a good hands on working with Advanced Excel, R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Application. My ar More

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Yangzayang

Dear Sir: My 10 years of R&D experience should be of interest to an ideal project like yours. In various capacities in natural language processing and machine learning to my present assignment as project manager, I More

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