AIMC Topic: Histamine Antagonists

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Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features.

Cells Nov 9, 2021
The requesting of detailed information on new drugs including drug-drug interactions or targets is often unavailable and resource-intensive in assessing adverse drug events. To shorten the common evaluation process of drug-drug interactions, we prese...
Machine Learning Algorithms Reproducibility of Results ROC Curve Drug Interactions Cytochrome P-450 Enzyme System Databases as Topic Histamine Antagonists
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New model for prediction binary mixture of antihistamine decongestant using artificial neural networks and least squares support vector machine by spectrophotometry method.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Apr 5, 2017
In the present study, artificial neural networks (ANNs) and least squares support vector machines (LS-SVM) as intelligent methods based on absorption spectra in the range of 230-300nm have been used for determination of antihistamine decongestant con...
Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity Support Vector Machine Least-Squares Analysis Linear Models Spectrophotometry Histamine Antagonists Nasal Decongestants
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