Meghan R. Hutch

Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports

Charlene Ong, Agni Orfanoudaki, Rebecca Zhang et al. · PLoS ONE · 2020 · 100 citations · Full text

Engineering, Machine Learning, Intelligent Diagnostics +28

Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study

Byorn W.L. Tan, Bryce W. Q. Tan, Amelia L.M. Tan et al. · EClinicalMedicine · 2022 · 76 citations · Full text

Using Tweets to Understand How COVID-19–Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study

Hanyin Wang, Yikuan Li, Meghan R. Hutch et al. · Journal of Medical Internet Research · 2021 · 63 citations · Full text

Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study

Jeffrey G. Klann, Zachary H. Strasser, Meghan R. Hutch et al. · Journal of Medical Internet Research · 2022 · 56 citations · Full text

Effects of Osmotic Therapy on Pupil Reactivity: Quantification Using Pupillometry in Critically Ill Neurologic Patients

Charlene Ong, Meghan R. Hutch, Megan E. Barra et al. · Neurocritical Care · 2018 · 46 citations

Ophthalmology, Osmotic Therapy, Brain Injury +3