Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study.
Carson LamRahul ThapaJenish MaharjanKeyvan RahmaniChak Foon TsoNavan Preet SinghSatish Casie ChettyQingqing MaoPublished in: JMIR medical informatics (2022)
The RNN model presented in this paper can be used as an early warning system to stratify patients who are at risk of developing one of the multiple risk outcomes, hence providing practitioners with the means to take early action.
Keyphrases
- electronic health record
- acute respiratory distress syndrome
- neural network
- extracorporeal membrane oxygenation
- end stage renal disease
- mechanical ventilation
- newly diagnosed
- ejection fraction
- clinical decision support
- primary care
- prognostic factors
- type diabetes
- patient reported outcomes
- intensive care unit
- big data
- weight loss
- data analysis