When classification is performed by a computer, statistical methods are normally used to develop the algorithm. Often, the individual observations are...

International Statistical Classification of Diseases and Related Health Problems, although the original title, International Classification of Diseases...

The Statistical Classification of Economic Activities in the European Community, commonly referred to as NACE (for the French term "nomenclature statistique...

metrics include Youden's J statistic, the uncertainty coefficient, the phi coefficient, and Cohen's kappa. Statistical classification is a problem studied in...

at any point by the Diagnostic and Statistical Manual of Mental Disorders (DSM) or the International Classification of Diseases (ICD). A mental disorder...

The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), is the 2013 update to the Diagnostic and Statistical Manual of Mental...

financial markets. National and international statistical agencies use various industry-classification schemes to summarize economic conditions. Securities...

initial impetus for developing a classification of mental disorders in the United States was the need to collect statistical information. The first official...

also refer to: Chemical classification Mathematical classification, construction of subsets into a set Statistical classification, the mathematical problem...

In machine learning and statistical classification, multiclass classification or multinomial classification is the problem of classifying instances into...

A medical classification is used to transform descriptions of medical diagnoses or procedures into standardized statistical code in a process known as...

categorization, categories in cognitive science Statistical classification, statistical methods used to effect classification/categorization Category (mathematics)...

Performance of Classification Methods". International Statistical Review. 80 (3): 400–414. doi:10.1111/j.1751-5823.2012.00183.x. Look up classification, classifications...

In statistical classification, the Bayes classifier is the classifier having the smallest probability of misclassification of all classifiers using the...

false negative) diagnosis, and in statistical classification as a false positive (or false negative) error. In statistical hypothesis testing, the analogous...

North American Product Classification System (NAPCS) Global Industry Classification Standard (GICS) Statistical Classification of Economic Activities...

Still, a comprehensive comparison with other classification algorithms in 2006 showed that Bayes classification is outperformed by other approaches, such...

or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups...

in previously pleasurable activities. While the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10)...

ICD is the International Statistical Classification of Diseases and Related Health Problems, an international standard diagnostic tool. ICD may also refer...

making it a difficult method to prevent. In the International Statistical Classification of Diseases and Related Health Problems, suicides by hanging are...

Organization (WHO) publishes a classification of known diseases and injuries, the International Statistical Classification of Diseases and Related Health...

the Diagnostic and Statistical Manual of Mental Disorders (DSM) or the 10th edition of the International Statistical Classification of Diseases and Related...

In statistical classification, two main approaches are called the generative approach and the discriminative approach. These compute classifiers by different...

Taxonomy is a practice and science concerned with classification or categorization. Typically, there are two parts to it: the development of an underlying...

when the clinician does not give a reason. The International Statistical Classification of Diseases and Related Health Problems (ICD-10) refers to the...

for classification and regression analysis. Developed at AT&T Bell Laboratories, SVMs are one of the most studied models, being based on statistical learning...

involves training a classifier (the key difference from many other statistical classification problems is the inherently unbalanced nature of outlier detection)...

The International Standard Classification of Education (ISCED) is a statistical framework for organizing information on education maintained by the United...

Standard Industrial Classification Industry Classification Benchmark (ICB) Global Industry Classification Standard Statistical classification of economic activities...