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A machine-learning approach was used to test whether risk factors may predict the classification category outcome of participants with DN.
a The prevalence estimates were obtained by cross tabulating individual characteristics with the three category outcome variable (No Asthma, Current Asthma, and Probable asthma).
Within the category "outcome", each study was tested for (1) blinded or record linked outcome assessment and (2) completeness of follow-up (i.e. a documented follow-rate ≥ 80%).
The 'smoking pattern' was then defined as a three category outcome variable with non-smoking (currently not smoking at all), moderate (1 19 cig./day) and heavy smoking (≥20 cig./day)./day
Due to the small number of patients in both the CDI-related mortality group and the non-CDI related mortality groups, for the purpose of decision tree classification analysis, these groups were merged into the single category outcome; died.
The variable 'smoking pattern' was then defined as a three category outcome variable with non-smoking (currently not smoking at all), moderate (1 19 cig./day) and heavy smoking (≥ 20 cig./day)./day
Similar(52)
For ordered multinomial category outcomes, cumulative ORs (95% CI) were obtained from cumulative logistic regression models.
In this note, we investigate the issue of fitting prospective multivariate generalized linear models to such multiple-category outcome data, ignoring the retrospective nature of the sampling design.
Next, these same indicators were used in a multinomial regression with a four-category outcome (STEMM professional, non-STEMM professional, STEMM middle-skill worker, non-STEMM middle-skill worker) to illuminate STEMM vs. non-STEMM differences separately for high-skill professions and middle-skill careers.
Hand and Till [ 11] generalized the original AUC measure to deal with classification methods for multi-category outcome cases.
*Details from 10 airlines (A-J) on the documentation of on board in-flight medical emergencies, sub-category outcome.
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