Abstract

Aiming at the difficulty in setting the support threshold for sequential pattern mining algorithms and improving the effectiveness of the support threshold setting without the guidance of domain experts' experience, an improved SPADE (sequential pattern discovery using equivalence classes) algorithm is proposed. By analyzing the relationship between the number of frequent sequences and the support threshold, the support threshold is dynamically selected. Using the electronic medical record data from a medical centre, the time-series relationship of the drugs taken by hypertension patients was extracted as the drug sequence dataset. By determining the optimal support threshold of the dataset, the frequent sequence set is mined, and the sequence rules are generated from the obtained regular sequences to visualize the sequence rules. The sequence rules of medication for hypertensive patients were combined with the patients' physical indicators for the recommendation. For patients with obstetric hypertension, a combination of nifedipine and captopril is recommended. Through the comparison of the observation group and control group, we study the curative effect of various drugs. The results showed that the total effective rate of the observation group was about 96.6%; compared with the control group, the result indicated that the difference was significant (P < 0.05). The comparison of blood pressure levels between the two groups after treatment also showed that the results of the observation group were ideal (P < 0.05). In addition, the incidence of postpartum haemorrhage and perinatal complications in the observation group was also significantly reduced (P < 0.05). Therefore, the combination of medication for pregnancy hypertension syndrome can effectively improve the treatment effect of the disease and reduce the rate of postpartum haemorrhage and the incidence of perinatal complications.

Highlights

  • Pregnancy hypertension syndrome is a widespread type of clinical complication, which can occur in the prenatal, delivery, and postpartum time. e disease can lead to clinical symptoms such as elevated blood pressure, oedema, and proteinuria

  • Relevant studies have found that the use of antihypertensive drugs in patients with pregnancy hypertension syndrome is helpful to reduce the level of blood pressure of patients, improve the clinical treatment effect, and reduce the incidence of various complications

  • All of them had no severe dysfunction of other vital organs, no adverse reactions to the drugs used in this study, and all were single pregnancy. ey knew the purpose and method of this study and volunteered to participate. e control group was treated with nifedipine, and the observation group was treated with captopril. ere were 29 cases in each group

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Summary

Introduction

Pregnancy hypertension syndrome is a widespread type of clinical complication, which can occur in the prenatal, delivery, and postpartum time. e disease can lead to clinical symptoms such as elevated blood pressure, oedema, and proteinuria. Relevant studies have found that the use of antihypertensive drugs in patients with pregnancy hypertension syndrome is helpful to reduce the level of blood pressure of patients, improve the clinical treatment effect, and reduce the incidence of various complications. Because of the shortcomings of the GSP algorithm that needs to scan the database multiple times, the SPADE algorithm uses a vertical storage structure based on lattice theory and the idea of equivalent classes to reduce the number of database scans to 3.

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