Remote health monitoring adoption model based on artificial neural networks

The purpose of this research is to utilize the adoption model of remote health monitoring established by artificial neural networks (ANNs). The adoption model by the naming is the healthcare information adoption model (HIAM) that it is created first time by myself. The HIAM focused on citizens in Taiwan as research subjects. The main research result showed that people's perceived usefulness and benefits (PUB) must be raised in order to effectively increase the adoption of remote health monitoring. Moreover, this research has proved that the utilization of the adoption model of remote health monitoring established by ANN based on the HIAM is feasible. These findings may offer significant reference for subsequent studies.

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