Identifying mental health concerns, subtypes, temporal patterns, and differential risks among children with Cerebral Palsy using NLP on EHR data

About the speaker

Surbhi Bhatnagar

Postdoctoral Research Fellow at Cincinnati Childrens Hospital

Surbhi Bhatnagar is a Postdoctoral Research Fellow at Cincinnati Children’s Medical Hospital Center (CCHMC). She is a data enthusiast committed to improving the understanding of diseases through data science and informatics research.

She has a computer science and engineering background and focuses on applying machine learning and big data approaches to extract and infer insights from large-scale, noisy, structured, and unstructured biomedical data. Surbhi works with rich multimodal data sources such as Electronic Health Records (EHR), Environmental, Imaging, Genomic Sequencing, and Gene Expression and is passionate about integrating multimodal biomedical data with domain knowledge to enhance learning, further understanding, and improve healthcare outcomes.



Online Event: October 3-5, 2023



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