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Figure 3 | BMC Medical Informatics and Decision Making

Figure 3

From: A pilot study for development of a novel tool for clinical decision making to identify fallers among ophthalmic patients

Figure 3

Examples of classification tree developed in the Adaboost algorithm. a) The tree indicated that the subject is classified as a faller in case of pseudophakia associated with headaches or IOP higher than 15 mmHg; otherwise the subject is classified as non-faller. b)The tree indicated that the subject is classified as a faller in case of extreme difficulties or inability to seeing moving objects with night driving associated with anxiety or cardiovascular disease; otherwise the subject is classified as non-faller.

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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