Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines

IJCNLP 2019 Mahmoud AzabStephane DadianVivi NastaseLarry AnRada Mihalcea

We introduce a new dataset consisting of natural language interactions annotated with medical family histories, obtained during interactions with a genetic counselor and through crowdsourcing, following a questionnaire created by experts in the domain. We describe the data collection process and the annotations performed by medical professionals, including illness and personal attributes (name, age, gender, family relationships) for the patient and their family members... (read more)

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