How Deep Learning Is Revolutionising Electronic Health Records

The researchers had data for 216,221 instances of hospitalisations with more than 100,000 unique patients. When predicted with DL, the experiment along the four outcomes: mortality, readmissions, long length of stay and discharge diagnosis show an accuracy of around 80 percent and above for both hospitals A and B, which is significantly higher than traditional prediction models. The DL model also improves with accuracy as the time interval period is expanded. The following figure shows a parameter called area under the receiver operating characteristic curve(AUROC) for the study.