risk prediction
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antipsychotic, BMJ Mental Health, cardiovascular disease, cardiovascular events, cohort study, Denmark, Editor Eimear Foley, electronic health records, external validation, health inequalities, lasso regression, logistic regression, machine learning, mixed methods, mortality gap, physical health, physical health inequalities, prediction, psychosis, registry data, risk factors, risk prediction, schizophrenia, Sweden, topical, xgboostPredicting cardiovascular disease in schizophrenia: does machine learning actually help?
On average, people with schizophrenia spectrum disorders die 15 to 20 years…
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antipsychotics, cardiometabolic health, cardiovascular disease, cardiovascular screening, clinical prediction model, cohort study, early intervention in psychosis, Editor Eimear Foley, metabolic syndrome, mixed methods, obesity, personalised care, precision psychiatry, prediction, preventive healthcare, psychosis, risk factors, risk prediction, schizophrenia, severe mental illness, shared decision making, The Lancet Psychiatry, topical, type 2 diabetes, weight gainPsychosis and metabolic risk: PsyMetRiC 2.0 reaches the clinic
Compared to the general population, individuals with psychosis have a 15-year reduced…
