Mathematical Method for Pre-Eclampsia Diagnosis Using 24-Hour Blood Pressure and Heart Rate Monitoring
A mathematical prognostic rule for distinguishing pregnant patients with pre-eclampsia by the 24-hour monitoring has been developed. The statistical retrospective analysis for 38 curves of the blood pressure and pulse rate for pregnant women with diabetes mellitus has been carried out. Median smoothing of curves excludes sharp jumps of measurements due to external noise or recording failures and keeps slow processes occurring in a patient organism. The patients have been a priori classified by an experienced doctor among four classes: (i) almost healthy, (ii) with a small hypertension, (iii) with a more serious hypertension, and (iv) with severe hypertension. Processing of curves by nonparametric statistic methods selects the informative cases of 24-hours monitoring for diagnostic purposes. An algorithm for revealing patients with risk of pre-eclampsia has been developed. The mathematical equivalent of the empirical doctor’s assumption has been given. A decision rule for pre-eclampsia diagnostics using 24-hour blood pressure curves has been obtained. The results can be interesting for monitor developers, obstetricians curing the pregnant women with diabetes, and general practitioners. DOI: 10.1134/S2304487X18050048