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AI in Healthcare Blog

Ideas, Risks, and Breakthroughs in Improving Healthcare with AI.

Zero-Shot Learning of Healthcare NLP Models

Zero-Shot Learning (ZSL) is a new paradigm that has gained massive popularity recently due to its potential of reducing data annotations and high generalisability. In the pursuit of bringing product-ready...

Detecting Undiagnosed Conditions and Automating Medicare Risk Adjustment

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...

Building Patient Cohorts with NLP and Knowledge Graphs

Cohort building is an essential part of patient analytics. Defining which patients belong to a cohort, testing the sensitivity of various inclusion and exclusion criteria on sample size, building a...

Azure Databricks and John Snow Labs Data Science Workshop

In this webinar, Juan Martinez, our Spark NLP Sr. Data Scientist and Financial / Legal NLP lead, talked about the Oncology and De-identification Solution Accelerators in Databricks, and how as...

Building an Integrated Data Approach to Pharma Medical Affairs

Our client’s medical affairs group was looking for a solution to harmonize numerous unstructured datasets. This was required to build dashboards for Medical Affairs teams that identify areas of impact...