Ward Assignment Prediction in Multi-speciality Hospital Using DDPGO Technique

In a current crisis of pandemic hospitals are unable to allocate the ward to patients in efficient manner. Patients have to visit the Emergency Department and register their information and medical condition. Then the Emergency Department will run the deep learning algorithm with curriculum learning after that the process data is passed to DDPGO to find out the appropriate ward depending on the state and patient type to allocate the suitable ward to the approached patient. While carrying out this process the deep learning algorithm self-trains itself on curriculum data and improves itself each time the process is run. We have 7 different types of wards which can be allocated to the different patients requesting the services. This type of system will help hospitals to allocate wards whenever there is a huge health crisis just as a pandemic as well as it will help improve the process of ward allocation.