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个人简介
Dr. Mowery arrived at Penn in September of 2018. As a collaborative investigator, she develops natural language processing (NLP) solutions for processing clinical texts— i.e., clinical notes, chatbots, and transcribed texts— to support clinical and translational research. She leverages NLP, data science, and computational methods to integrate and analyze information from unstructured texts and structured clinical data to help clinical investigators better understand disease burden, treatment efficacy, and clinical outcomes. Furthermore, her solutions focus on helping patients and clinicians make better decisions at the point of care whether its in a traditional hospital setting or through digital health services within a patient’s home. Her work aims to uncover scientific discoveries, identify actionable healthcare knowledge, and optimize translation of research into patient care.
研究兴趣
论文共 86 篇作者统计合作学者相似作者
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JMIR FORMATIVE RESEARCH (2024): e52200-e52200
Chenyu Li,Danielle L Mowery,Xiaomeng Ma, Rui Yang, Ugurcan Vurgun, Sy Hwang,Hayoung Kim Donnelly, Harsh Bandhey, Zohaib Akhtar, Yalini Senathirajah, Eugene Mathew Sadhu,Emily Getzen,
medRxiv : the preprint server for health sciences (2024)
Journal of biomedical informatics (2023): 104483-104483
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medRxiv (Cold Spring Harbor Laboratory) (2023)
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medRxivno. 1 (2023): e0266985-e0266985
Sy Hwang,Ryan Urbanowicz,Selah Lynch,Tawnya Vernon,Kellie Bresz, Carolina Giraldo,Erin Kennedy, Max Leabhart, Troy Bleacher, Michael R. Ripchinski,Danielle L. Mowery,Randall A. Oyer
medRxiv : the preprint server for health sciences (2023)
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