Intelligent environments are complex interaction spaces between people, sensors, devices, and systems. Software Engineering requires specific techniques to deal with the development of these systems, addressing intrinsic characteristics of devices and sensors, complex interactions in intelligent environments, quality aspects, scalability and interoperability, and the ability to consolidate good development practices. Using computational resources can help support the construction of contemporary IoT systems, dealing with the complexities and quality requirements presented. The main objective of this work is to present the results of a systematic mapping considering the allocation of resources in an intelligent e-health environment with the help of artificial intelligence. With this, it was possible to observe how data collection, environmental monitoring, prediction of the use of computational resources, and environmental management optimization can occur.