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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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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bipolar disorder, Diagnosis, digital health, digital innovation, digital mental health, early intervention, Editor Simon Bradstreet, Lancet Psychiatry, natural language processing, prediction, prediction model, psychosis, risk factors, routinely collected data, schizophreniaSpotting bipolar and psychosis risk earlier using routine clinical records
The signs of mental health conditions, such as schizophrenia and bipolar disorder,…
