Wilm’s tumor (WT) is a type of cancer that primarily affects children. In medical centers, inadequate equipment and a shortage of experienced staff make it difficult for families suffering from this disease to receive post-treatment care after the treatment period is over. This chapter proposes an intelligent mechanism combining Machine Learning (ML), the Internet of Things (IoT), and blockchain technology to support families of patients with WT, which primarily affects children. The hybrid system enables continuous child health monitoring using IoT devices, with ML algorithms analyzing data to provide real-time health models. The system categorizes the child’s condition into acute, requiring further investigation, and normal. By incorporating blockchain technology, the system ensures secure data exchange, addressing privacy concerns. This intelligent mechanism aims to improve early detection of disease recurrence, thereby enhancing recovery rates and survival chances. The proposed system demonstrates significant potential in reducing diagnosis time and providing timely medical intervention.