Understanding how dental attendance evolves throughout life can inform targeted preventive health care policies by identifying key moments when people are more or less likely to seek dental care. Trajectory modeling of age and time trajectories takes a life course approach to understanding dental attendance, offering insights into both developmental perspectives (e.g.
View Article and Find Full Text PDFThe use and research of neural networks on very small processor systems are currently still limited. One of the main reasons is that the design of microcontroller-architecture-aware ML models that take into account user-defined constraints on memory consumption and run-time are very difficult to implement. Therefore, we adapt the concept of differentiable neural architecture search (DNAS) to solve the time series classification problem on resource-constrained microcontrollers (MCUs).
View Article and Find Full Text PDFBackground: Medulloblastoma is the most commonly occurring malignant brain tumor of childhood. Treatment includes a combination of surgery, radiation therapy, and chemotherapy, all of which are associated with cognitive impairments. Despite appreciation of the value of neuropsychological evaluations to assess for cognitive impairments, there are barriers to these evaluations.
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