A method for the timely detection of pulmonary diseases in premature infants using a mathematical model has been found at Perm National Research Polytechnic University (PNRPU). This was reported in the press service of the university.
In Russia, 10% of the 1.3 - 1.4 million babies are born prematurely. This causes the development of bronchopulmonary dysplasia (a disease in which the lungs are formed incorrectly).
To date, there are methods for predicting the disease, but they are all based on only one group of parameters, for example, on the results of a laboratory study of umbilical cord blood. The problem is that they do not include many factors that affect the development of the disease.
The system was tested on real data from 76 patients, and it showed an accuracy of 84.2%. The created model will become the basis for a computer program that will help doctors in the diagnosis of bronchopulmonary dysplasia in premature babies. The development will also determine which parameter changes can reduce the likelihood of moderate or severe disease.
Earlier www1.ru reported that a mathematical model was created in Perm for the effective use of fiber optics in medicine.
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