Multi-Level Text Classification for Medical Insights Documents


Our Client was facing challenges with classification of Medical Insights documents. Earlier classification was done manually, and it takes around 12-man hours a day. They tried developing a model and they were facing below challenges:


MResult developed a cutting-edge AI solution for multi-level text classification model using technologies such as Python , NLP, NLTK , Transformers, Bert, Deep Learning, Fastai. Machine Learning Algorithms such as, BERT pretrained models , Microsoft Pubmed, SAP Bert.

A pipeline of solutions were built to meet multiple requirements such as:


18% improvement in the new modelling strategy. We our approach it got improved from 72% to 92% Accuracy.

We came up with approach for Multi-Tasking Deep learning model. This reduced the deployment cost by 50%

Developed Deployment end-to-end deployment strategy for the project using AWS Sagemaker

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