Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks
Table 1: Ground truth distribution for the reduced classes. Urgent Care = Patient needs to seek medical care within a short time period; General Practice = Patient requires medical attention in a physical consultation, but not urgently; Telecare = In-person medical appointment not required, instructions over the phone are sufficient.
['Recommendations', 'Number of Cases']
The original case records are very unevenly distributed over ten recommendation classes (a combination of a point-of-care and a time-to-treat class). To mitigate this problem and for the purpose of this work, the original classes, (emergency, urgent), (grundversorger, urgent), (specialist, urgent), (grundversorger, within a day), (specialist, within a day), (grundversorger, not urgent), (specialist, not urgent), (telecare, –), were merged, with the help of healthcare professionals, into three categories: Urgent Care, General Practice, Telecare.