Image Processing & Machine Learning
Through techniques like Convolutional Neural Networks, UNets, Random Forests, Image Morphology Analysis, Gradient-Boosted Trees, Feature Selection and Matching, and more, these services can be used to create solutions that can be used for detection of tumors, cell analysis, skin type classifications and more.
Our data science services in the area of image processing and machine learning are used in Radiology, Pathology and Dermatology.
Natural Language Processing (NLP)
Techniques like Recurrent Neural Networks, Long Short-Term Memory (LSTM), PoS tagging, Entity Extraction, Natural Language Generation, and Conversational Systems can be used for a variety of solutions in clinical record-keeping and health insurance.
Some of our solutions which use NLP include Structured EMRs, Doctor’s Notes, Radiology Reports, Smart Reports.
Data Analytics can be used in several areas of the healthcare sector including Clinical Record-Keeping, Pharmacology, Customer Relationship Management (CRM), and Business Intelligence.
Techniques like Data Pipeline/ETL, Predictive Analytics, Machine learning, Collaborative Filtering, and Map Reduce are used in Disease Prediction, Drug Efficacy and Sensitivity testing, Pharmacovigilance, Disease Registry, Hospital Marketing, and Operational Excellence.