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Life insurance underwriting considers an applicant’s medical risk factors to supplement mortality risk characteristics. These risk factors are usually provided inside free-text documents. New insurance-specific Natural Language Processing (NLP) models...
Insurance claims have thousands of communications channels- text messages, calls, emails etc. and this information is stored as unstructured data in most of the systems. With help of sentiment analysis,...
While disease severity dictates how virtually all diseases are managed and treated, disease-specific severity measures are seldom available in structured clinical data. Therefore, an application that could extract such severity...
COTA’s mission is bringing clarity to cancer by using real world data and analytics. The key to this is the uncompromising quality of regulatory grade data that COTA provides. Data...
Structured ICD-10 diagnosis codes exist primarily for submitting claims for reimbursement. A far more comprehensive portrayal of patient health history and conditions exists in the unstructured, narrative text. Extracting conditions...
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