Citation: S. GUPTA, S. CHATTERJEE, A. SHARMA, M. POPOLIZIO, V. DI LECCE, M. SUCCI, P. TREMONTE, R. DARIO, V. SINGH RATHORE: "Determination of Antibiotic Resistance Level in Klebsiella using Machine Learning Models", Proceedings of Seventh International Congress on Information and Communication Technology, Springer Nature Singapore, pp. 913-924, 2023
Abstract: The research methodology in this research has five phases. Stage 1: Data collection. The major steps followed in this stage are as follows: 1. Meta-data for Klebsiella pneumoniae were collected from the National Center for Biotechnology Information (NCBI) by applying Klebsiella as the keyword filter and further filtering the data via AMR genotype.. 2.
Keyword: Antimicrobial drug resistance, Klebsiella pneumoniae, Artificial intelligence, Machine learning, β-lactam drugs