Abstract

THE FURTHER VISIT OF THE PATIENT USING ARTIFICIAL NEURAL NETWORK

Abdullah Hassan Hussein*

Abstract

The article shows that AI usage can ease the doctors’ everyday work. It can cope with the tasks which are too hard for a person. The most difficult ones are data analysis and different kinds of predictions. It is even possible to predict the further visit of the patient using AI. Apart from the problems of PHRs representation formats is the problem of current PHR system’s passivity, i.e., they just provide a means for managing individuals PHR but they neither analyze nor provide potential improvements to individual’s healthcare. This is regrettable, as active PHR systems could provide a wide variety of cost-effective opportunities for improving the quality of healthcare. An important goal of PHR is the ability to predict the future of the patient (Patient’s health situation and the diagnosis of diseases and medicines that must be taken by the patient). To predict the further visit of a patient, the following data need to be analyzed: patient’s register number, previous date of visit and disease. For analyzing these features such program as KERAS NEURALNETWORK can be used.

Keywords: Artificial neural networks, keras, technological development, personal health record, tools.