NLP Solution for Medical Research Databases

Healthcare AI/ML R&D Voice Technology and Chat Bot Machine Learning

Our easy-to-use solution lets medical researchers query data using natural English language either as text or voice and converts it into a structured SQL request.

Example: Find all patients, either male from 20 to 25 years old or female from 30 to 35, who were diagnosed with diabetes within the last 12 months and started treatment with Fiasp two months after the first diagnosis.

We have also developed a rich user interface and chatbot which communicates with users to supplement the NLP parser. The speech system continuously refines its ability to “hear”, understands a wide variety of accents and automatically adjusts to a particular customer’s requests.

Deep Recurrent Neural Networks
Sequence to Sequence Architecture
Speech Recognition
Noise Reduction
Dependency Parser
Word Lemmatization and Tokenization
Reinforcement Learning
Entity Recognition

.NET
Python
C++
PyTorch
Flask
StarSpace
Numpy
WaveNet
Audacity

JavaScript
SASS
Dragula
AngularJS
Flow
Redux
Peg.js

MS SQL Server

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NLP Solution for Medical Research Databases

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