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Fig. 1 | BMC Medical Research Methodology

Fig. 1

From: Multiple states clustering analysis (MSCA), an unsupervised approach to multiple time-to-event electronic health records applied to multimorbidity associated with myocardial infarction

Fig. 1

Examples of patients’ state matrices: censored status of 8 long-term conditions are considered from 0 to 104 years old in nine patient randomly sampled from patients’ cohort. Patients’ status are represented by state indicators for each displayed long-term condition. If during its follow up a patient remains free from a given long-term conditions, the corresponding state indicator will remain zeros from the age of zero to the age at which patient’s follow up ends. If for instance, a patient is diagnosed with hypertension at 50 years, patient’s state indicator for hypertension will be zero from zero to 49 years old, and one from 50 years old to the end of patient’s follow up

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BMC Medical Research Methodology

ISSN: 1471-2288

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