Journal of evaluation in clinical practice
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In the context of the gradual development of artificial intelligence in health care, the clinical decision support systems (CDSS) play an increasing crucial role in improving the quality of the therapeutic and diagnostic efficiency in health care. The fuzzy logic (FL) provides an effective means for dealing with uncertainties in the health decision-making process; therefore, FL-based CDSS becomes a very powerful tool for data and knowledge management, being able to think like an expert clinician. This work proposes an FL-based CDSS for the evaluation of renal function in posttransplant patients. ⋯ We propose that the CDSSs for the assessment and follow-up of kidney-transplanted patients built in this study are applicable to clinical practice.
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To investigate diabetes outcomes by long-term trajectories of patients' care settings among diabetes patients with regular follow-up. ⋯ Diabetes patients who were persistently treated in generalized care settings had health outcomes comparable to those who were persistently treated in specialized care settings. However, for elderly and less stable patients, regular diabetes care in specialized care settings was preferable.
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To assess treatment patterns of statin and/or ezetimibe and possible statin intolerance among patients initiating statin or statin plus ezetimibe and with clinical atherosclerotic cardiovascular disease (ASCVD) or diabetes mellitus (DM) in Taiwan. ⋯ Large number of patients with either ASCVD or DM discontinued lipid-lowering therapies with suboptimal adherence and persistence among Taiwanese population. There is a large unmet medical need to provide safe and more effective therapies, which can be used in combination with statins or alone, to reduce the risk of CV events and improve outcomes in high-risk patients.