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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 28412664
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...
Algorithms Histamine Antagonists Least-Squares Analysis Linear Models Nasal Decongestants Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity Spectrophotometry Support Vector Machine
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Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features.

Cells 34831315
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...
Algorithms Cytochrome P-450 Enzyme System Databases as Topic Drug Interactions Histamine Antagonists Machine Learning Reproducibility of Results ROC Curve
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