Artem Terentyuk - BERT Model for Real World Healthcare Data | PyData Yerevan 2022

Artem Terentyuk Presents:

BERT Model for Real World Healthcare Data

Early indication and detection of diseases, can provide patients with the chance of early intervention, better disease management, and efficient allocation of healthcare resources. The latest developments in machine learning provide a great opportunity to address this unmet need. In this lecture, we introduce modified BERT: A deep neural sequence transduction model designed for electronic health records (EHR). We will consider the application of this methodology to the task of classifying patients into cohorts reflecting different disease patterns.

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