Interpretation of nonstress tests by an artificial neural network.

  title={Interpretation of nonstress tests by an artificial neural network.},
  author={S Kol and Israel Thaler and Noam Paz and Oded Shmueli},
  journal={American journal of obstetrics and gynecology},
  volume={172 5},
OBJECTIVE Our purpose was to evaluate an artificial neural network in the interpretation of nonstress tests. STUDY DESIGN A nonlinear artificial neural network trained by backpropagation was taught to interpret records of nonstress tests by two learning sets. The first set contained nonstress tests that were similarly interpreted by three human experts; the second set contained a subset of nonstress tests that led to interobserver disagreement. Both "raw" fetal heart rate and uterine… CONTINUE READING
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