Abstract
In this chapter, we describe the algorithms for data processing applied as part of an intellectual analysis subsystem of a software system for predicting and researching the properties of antifungal antibiotics. These include models for predicting toxicity based on assays as well as acute oral toxicity. The mathematical models were trained, tested, and validated on different sets of antifungal antibiotic data. Testing showed the models’ accuracy and viability for predicting antifungal antibiotics’ properties.
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Musayev, E.E., Chistyakova, T., Kolodyaznaya, V.A., Belakhov, V.V. (2022). Designing a Data Analysis Subsystem for Predicting the Properties of Antifungal Antibiotics. In: Kravets, A.G., Bolshakov, A.A., Shcherbakov, M. (eds) Society 5.0: Human-Centered Society Challenges and Solutions. Studies in Systems, Decision and Control, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-030-95112-2_5
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