Understanding Antibiotic Resistance Using Different Machine Learning Approaches
Understanding Antibiotic Resistance Using Different Machine Learning Approaches
Tanaya Priyadarshini Pradhan,N. Debata,T. Swarnkar
2020 · DOI: 10.1007/978-981-15-1081-6_6
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TLDR
This paper discusses about various broadly used machine learning strategy including Naive Bayes Classifier, KNN, Multilayer Perceptron, Random Forest, and Decision Tree to characterize the clinical information to classify whether a given sample is protected from a particular anti-infection or not.
