Anatomical Therapeutic Chemical Classification System (ATC)

The Anatomical Therapeutic Chemical (ATC) Classification is an internationally accepted classification system for medicines that is maintained by the World Health Organisation (WHO). The WHO assigns ATC codes to all active substances contained in medicines based on the therapeutic indication for the medicine.

More information about Anatomical Therapeutic Chemical Classification System (ATC)

Drugs,levels,chemical,study,chemical characteristics,method,alimentary tract,active ingredients,Classification System,1st level,classes,sex hormones,chemical properties,Collaborating Centre for Drug Statistics Methodology.

Drug development,model,2nd level,5th level,method for prediction,products,learning,datasets,values,chemical substances,substances,hormonal preparations,Anatomical Therapeutic Chemical,classification of drugs,drug classification,repositioning of drug,model validation,4th level,scores,medicinal product,accuracy,anti – infectives,cross – validation,daily dose.

Networks of chemicals,therapeutic chemical classification codes,Therapeutic Chemicals,therapeutic chemical classification system,candidate drugs,logistic regression model,base model,3rd level,Similarity-Based Method,hybrid method,weighted score,similarity score,unweighted score,Chen,Chen et al,Wang,Wang Y.

Cheng et al,prediction accuracies,association,learning algorithm,observational studies,Experimental studies,benchmark dataset,medicinal substance,Rx-Risk Index,Herbal ATC,false positives,bar charts,route of administration,WHODrug Global,chemical entities,protein-protein interactions,silico prediction,multi-label classification,negative predictions,external validation,individual comorbidities,restart algorithm,essential chemicals,common chemicals,type of chemicals,chemical similarity,chemical similarity informations,chemical structure creation,potential chemical,reliable chemicals,prediction of drug,cost of drug discovery,database of drugs,drug repositioning,IDs of drugs,potential drugs,virtual drugs,SP-based model,SP-based and RWR-based models,computational models,level ATC codeTable,interaction-based method,integrated method,weighted Rx-Risk Score,comorbidity scores,L. Chen,Chen L,F. Chen,Y. Wang,S. Wang,C. Wang,Cheng,Cheng et al.,X. Cheng,Classification of combination products,plain products,class C2,class C3,1st-order prediction accuracy,strong associations,association tests,tiered learning architecture,training dataset,default values,initial value determination problem.