Publications by authors named "E A Conrad"
Objective: To challenge clinicians and informaticians to learn about potential sources of bias in medical machine learning models through investigation of data and predictions from an open-source severity of illness score.
Methods: Over a two-day period (total elapsed time approximately 28 hours), we conducted a datathon that challenged interdisciplinary teams to investigate potential sources of bias in the Global Open Source Severity of Illness Score. Teams were invited to develop hypotheses, to use tools of their choosing to identify potential sources of bias, and to provide a final report.
Intracranial EEG is used for two main purposes: to determine (i) if epileptic networks are amenable to focal treatment and (ii) where to intervene. Currently, these questions are answered qualitatively and differently across centres. There is a need to quantify the focality of epileptic networks systematically, which may guide surgical decision-making, enable large-scale data analysis and facilitate multi-centre prospective clinical trials.
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- EEG is crucial for diagnosing and managing genetic epilepsies in children, yet the relationship between quantitative EEG features and neurological outcomes is not well understood.* -
- The study analyzed EEG data from children with specific genetic variants, used a control group, and created models to compare EEG features like the alpha-delta ratio to predict diagnoses and neurological outcomes.* -
- Results showed significant differences in the alpha-delta ratio between genetic epilesies and controls, with high accuracy in predicting diagnoses, allowing for the identification of potential biomarkers for different genetic disorders in epilepsy.*
Patients with drug-resistant temporal lobe epilepsy often undergo intracranial EEG recording to capture multiple seizures in order to lateralize the seizure onset zone. This process is associated with morbidity and often ends in postoperative seizure recurrence. Abundant interictal (between-seizure) data are captured during this process, but these data currently play a small role in surgical planning.
View Article and Find Full Text PDFImportance: Thyroid eye disease (TED) negatively impacts quality of life. TED occurs predominantly in Graves' disease (GD). Teprotumumab improves TED but concern for hearing adverse events (AEs) has emerged.
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