Public health systems are under pressure from rising costs, workforce shortages, increasing demand and limited resources. Data and AI can help organizations use their resources more effectively, improve care decisions and deliver better outcomes. But the next phase of health care AI will depend on more than what the technology
A previous article discusses the problem of fitting a kernel density estimate (KDE) to data that are strictly positive. If you use a standard KDE, the resulting density curve might estimate non-zero probability for negative values. This is unsatisfactory because quantities like lengths and mass cannot be negative. The previous
Explore how the DementAI team used SAS Viya's integrated AI, machine learning, governance, and decisioning capabilities to help identify Alzheimer's disease up to two years earlier while maintaining the trust and oversight required in healthcare.
