Risk assessment of human neural tube defects using a Bayesian belief network

摘要: Neural tube defects (NTDs) constitute the most common type of birth defects. How much risk NTDs could an area take? The answer to this question will help people understand geographical distribution and explore its environmental causes. Most existing methods usually take spatial correlation cases into account rarely consider effect factors. However, especially in rural areas, have a little on each other across space, whereas role factors is significant. To demonstrate these points, Heshun, county with highest rate China, was selected as region interest study. Bayesian belief network used quantify probability occurred at villages no births. study indicated that proposed method easy apply high accuracy achieved 95% confidence level.