The American journal of medicine
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General medical wards admit high-risk patients. Artificial intelligence algorithms can use big data for developing models to assess patients' risk stratification. The aim of this study was to develop a mortality prediction machine learning model using data available at the time of admission to the medical ward. ⋯ A machine learning model outperforms single variables predictions of in-hospital mortality at the time of admission to the medical ward. Such a decision support tool has the potential to augment clinical decision-making regarding level of care needed for admitted patients.
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Globally, about 2.2 billion people have a vision impairment or blindness and approximately half of the cases could have been prevented. Several ocular diseases share common characteristics that overlap with risk factors for cardiovascular diseases. The aim of this study was to evaluate the relation between the American Heart Association's prescription for health called the Life's Simple 7 (LS7) metrics and the occurrence of ocular diseases. ⋯ In this study, ideal cardiovascular health, which is indicative of a healthy lifestyle, was associated with lower odds for ocular diseases, especially diabetic retinopathy. These findings suggest that interventions to prevent cardiovascular diseases may also hold promise in preventing ocular diseases.