Rumman Mahfujul Islam's research while affiliated with Nara Institute of Science and Technology and other places

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Publications (1)


Figure 1. ROC curve for the best model.
Preliminary modeling.
Tuning parameters in Random Forest.
Metrics for dataset using Random Forest classifier.
Summary of the predicted plants.

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Prediction of Potential Natural Antibiotics Plants Based on Jamu Formula Using Random Forest Classifier
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September 2022

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58 Reads

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8 Citations

Antibiotics

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Pei Gao

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Jamu is the traditional Indonesian herbal medicine system that is considered to have many benefits such as serving as a cure for diseases or maintaining sound health. A Jamu medicine is generally made from a mixture of several herbs. Natural antibiotics can provide a way to handle the problem of antibiotic resistance. This research aims to discover the potential of herbal plants as natural antibiotic candidates based on a machine learning approach. Our input data consists of a list of herbal formulas with plants as their constituents. The target class corresponds to bacterial diseases that can be cured by herbal formulas. The best model has been observed by implementing the Random Forest (RF) algorithm. For 10-fold cross-validations, the maximum accuracy, recall, and precision are 91.10%, 91.10%, and 90.54% with standard deviations 1.05, 1.05, and 1.48, respectively, which imply that the model obtained is good and robust. This study has shown that 14 plants can be potentially used as natural antibiotic candidates. Furthermore, according to scientific journals, 10 of the 14 selected plants have direct or indirect antibacterial activity.

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Citations (1)


... The following parameter is max_depth, which is the maximum depth of each decision tree with alternatives such as 0, 10, and 20 [38]. Min_samples_split is the smallest number of samples required to divide the tree's nodes [39]. The values under consideration are 2, 5, and 10. ...

Reference:

Air Pollution in Jakarta, Indonesia Under Spotlight: An AI-Assisted Semi-Supervised Learning Approach
Prediction of Potential Natural Antibiotics Plants Based on Jamu Formula Using Random Forest Classifier

Antibiotics