Abstract：Placenta accreta is one of the most serious complications of obstetrics. As a gold standard, the postnatal pathological examination has hysteresis and limitation. In this paper, the multi-feature associations of medical history information and color Doppler ultrasound data are used as observation sequences and the postpartum pathological results are used as hidden state sequences. The prenatal prediction method of placenta accreta based on hidden Markov model is proposed. The algorithm of Gini is used to extract the disease factors. Then, the hidden Markov model is built by the set of factors. Through the observation and hidden sequences, the prenatal prediction of placenta accreta is accomplished using Baum-Welch and Viterbi algorithms. The experimental results show that the proposed method achieves better diagnostic accuracy, sensitivity and specificity.
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