Sarah Clark shares what it is like to experience a misdiagnosis and how health professionals can support someone who has been misdiagnosed

Misdiagnosis rates are one of the leading causes medical errors in hospitals, affecting over 12 million adults across US. To address high rate misdiagnosis, this study utilizes 4 NLP-based algorithms to determine appropriate health condition based on an unstructured transcription report. From Logistic Regression, Random Forest, LSTM, and CNNLSTM models, CNN-LSTM model performed best with accura...

PURPOSE Juvenile myoclonic epilepsy (JME) is one of the most common and recognizable idiopathic generalized epilepsy with its characteristic clinical and EEG features. We think despite the well defined diagnostic criteria, and increasing awareness, misdiagnosis in JME may still be a problem. The present study aims to determine misdiagnosis in JME and to compare the results with our previous stu...