Personalized medicine requires the ability to create precision medicine based on the personal health records (EHR, EMR).
Problem: Customer needed a software platform for clinical concept extraction from patient case notes.
Methodology: Cenacle built an innovative solution based on the below methodology:
- Natural Language Processing (NLP) to identify: diseases, symptoms, medications, procedures etc.
- Deep Learning Artificial Intelligence (AI) architecture using RNN with LSTM for sequence labelling
- Train the model on annotated text
- Classifier built based on UMLS and MIMIC data set models
Results:
Key concepts used: Text Mining, Natural Language Processing, Named Entity Recognition in Medical Records, Co-reference Resolution, Deep-learning, RNN, Artificial Intelligence.
Domain: Healthcare Analytics
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