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1. ieeexplore.ieee.org › document › 9588972Drug Classification using Machine Learning and ... - IEEE Xplore

   ieeexplore.ieee.org › document › 9588972

   In this paper we have performed drug classification using machine learning models like random forest, decision tree, and logistic regression. To further understand how these models came to their conclusion, we find the interpretability of these models using LIME and SHAP.

   • Drug Classification Analysis Using Different MachineLearning ...

     With the advancement of technology and related techniques,...

2. www.sciencedirect.com › science › articleMachine learning methods for prediction of food effects on ...

   www.sciencedirect.com › science › article

   Jan 1, 2022 · This exploratory work provided new insights into the connection between FE and drug properties as the Octanol Water Partition Coefficient (S+logP), Number of Hydrogen Bond Donors (HBD), Topological Polar Surface Area (T_PSA) and Dose (mg) were all significant for prediction.

   • Author: Harriet Bennett-Lenane, Brendan T. Griffin, Joseph P. O'Shea

   • Publish Year: 2022

3. www.sciencedirect.com › science › articleDeep learning accurately predicts food categories and ...

   www.sciencedirect.com › science › article

   Oct 15, 2022 · Accuracy improvement for food classification using deep learning. Four representative conventional machine learning algorithms, K-means, Adaboost, linear support vector machine (SVM) as well as Bayesian were selected as a comparison to four deep learning algorithms i.e., MLP, RNN, CNN, and GNN.

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5. ieeexplore.ieee.org › document › 10403609Drug Classification Analysis Using Different MachineLearning ...

   ieeexplore.ieee.org › document › 10403609

   With the advancement of technology and related techniques, there is now an opportunity to improve drug classification. Machine learning, utilizing large databases, has become a vital tool in the discovery of drug and design process.

6. www.kaggle.com › code › rizqiasmDrug Classification using Machine Learning (SVM) | Kaggle

   www.kaggle.com › code › rizqiasm

   Explore and run machine learning code with Kaggle Notebooks | Using data from Drug Classification.

7. pubmed.ncbi.nlm.nih.gov › 34563654Machine learning methods for prediction of food effects on ...

   pubmed.ncbi.nlm.nih.gov › 34563654

   Jan 1, 2022 · Accordingly, this study explored the potential for two machine learning (ML) algorithms to predict likely FE. Using a collated database of drugs licensed from 2016-2020, drugs were classified into three groups; positive, negative or no FE.

8. People also ask

   How accurate is machine learning for food classification?

   • The application of this algorithm helped the accuracy of four deep learning models increase up to 98.5% for CNN, and 99.4% for MLP, which meets the practical need for the food classification task. Fig. 5. Accuracy of prediction of categories between different machine learning models with different modifications.

   Deep learning accurately predicts food categories and nutrients based

   www.sciencedirect.com/science/article/pii/S0308814622012055

   See all results for this question

   Can machine learning be used to classify drugs?

   • The findings indicated that the most critical characteristics for medication categorization are age, sex, and blood pressure. This work sheds light on how to classify drugs using machine learning. The findings demonstrate that machine learning may be used to classify drugs with high accuracy.

   Explainable Machine Learning for Drug Classification

   link.springer.com/chapter/10.1007/978-981-99-8661-3_48

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   What is a food classification model?

   • The food classification model (including four conventional machine learning models and four deep learning models) was a classifier that maps each food product x to a posterior probability P, where P is a vector of entries indicating the probability of x belonging to a specific class. By probability definition, the sum of all values in P was 1.

   Deep learning accurately predicts food categories and nutrients based

   www.sciencedirect.com/science/article/pii/S0308814622012055

   See all results for this question

   How accurate is machine learning for drug classification?

   • The accuracy of five machine learning methods for drug classification is shown in Table 2. The model’s accuracy is the proportion of times it properly predicts the drug type. The extra tree algorithm obtained a 98% accuracy. This implies that the model anticipated the medication type accurately 98% of the time.

   Explainable Machine Learning for Drug Classification

   link.springer.com/chapter/10.1007/978-981-99-8661-3_48

   See all results for this question

9. link.springer.com › chapter › 10Explainable Machine Learning for Drug Classification - Springer

   link.springer.com › chapter › 10

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   Feb 16, 2024 · Drug classification may be automated with the use of machine learning, improving both efficiency and accuracy. This work sheds light on how to classify drugs using machine learning. The findings demonstrate that machine learning may be used to classify drugs with high accuracy.