Estimation of depression levels using Hamilton Test
This Dataset presents data for the estimation of depression level estimation based in factor psychological and life experiences. The data contains 23 attributes and 347records, the records are labelled with the class variable not depressed, light/minor depression, moderate depression, severe depress...
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Format: | Dataset |
Sprache: | eng |
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Zusammenfassung: | This Dataset presents data for the estimation of depression level estimation based in factor psychological and life experiences. The data contains 23 attributes and 347records, the records are labelled with the class variable not depressed, light/minor depression, moderate depression, severe depression, very severe depression that indicate the respective level of depression. 46% of the data was generated synthetically using the Weka tool and the SMOTE filter, 54% of the data was collected directly from users through a web platform. This data can be used to generate intelligent computational tools to identify the depression level of an individual and to build recommender systems that monitor depression levels. |
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DOI: | 10.17632/jvnrtzv7tz |