USE OF INTELLECTUAL ANALYSIS METHODS FOR EVALUATING THE QUALITY OF CONTINUOUS PROFESSIONAL DEVELOPMENT OF DOCTORS IN THE ELECTRONIC PORTFOLIO
DOI:
https://doi.org/10.11603/mie.1996-1960.2022.4.13645Keywords:
doctor's portfolio, continuous professional development of doctors, intelligent algorithms for information analysis, Big Data, Data mining, data classifiers, probabilityAbstract
Background. The issue of multidimensional information analysis, which represents the data of continuous professional development of doctors reflected in the Portfolio, is considered.
Materials and methods. The research uses knowledge discovery in databases (KDD), classification, modeling, and forecasting methods based on decision trees, fuzzy logic, and statistical data analysis methods. Traditional statistical methods were used to solve individual problems: correlation and regression analysis, factor analysis etc.
Results. It is shown that in order to ensure a fair mechanism for evaluating multidimensional information in the Doctors' Portfolio, it will be useful to use modern intelligent methods of analyzing big data (Big Data). The prerequisites for the creation of high-quality web-oriented technology using the methods of intellectual analysis of multidimensional information entered into the Portfolio are substantiated. When using ensembles of intellectual analysis algorithms, the Portfolio can become an effective means of objectifying and quantifying educational and professional growth during the continuous professional development of a doctor.
Conclusions. Taking into account that currently none of the algorithms can provide a valid assessment of the professional growth of a specialist, we suggest using ensembles of methods, i.e. - a combination of several algorithms that learn simultaneously and correct each other's mistakes. The portfolio has great potential, but its further improvement fully requires the use of new approaches, primarily related to solving the problem of assessing the dynamics of the professional growth indicators of doctors.
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