Long periods of stress and depression can cause heart disease, brain disease, and high blood pressure. However,
regardless of the advancements in modern medicine, stroke patients face difficulties without special medicines
or treatments. A computer simulation is conducted to predict stroke risk factors using a magnetoplethysmogram
equipped with a magnetic sensing Hall device to analyze radial artery pulses. We use logistic
regression analysis to determine the vacuous pulse from the clinical data of 60 patients with deficiency syndrome
and perform a computer simulation to determine stroke and early stage diseases using a TensorFlowbased
open source. Additionally, computer simulations using brachycardia diagnostic cluster analysis and fuzzy
inference, which are used in oriental medicine, are conducted to improve the prediction rate of stroke by more
than 10%.