CRIS Projects Details -
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CRIS Projects Details

Project Details

 

Modelling and extracting disease progression from multiple patient documents

Lead Applicant Name :
Natalia Viani
Project Type :
Research
Approval Date :
21-Nov-2019
References :
Lay Summary :
In mental health records, symptom progression information is often documented over time across patient documents, which can be particularly long and include variable terminology. For patients with a diagnosis of schizophrenia, extracting and combining this information is key to improved understanding of the condition's course and treatment outcomes. The aim of this project is to develop a novel natural language processing (NLP) approach to model and extract symptom progression starting from multiple documents, with an initial focus on patients with a diagnosis of schizophrenia.<br/>

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