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Since its establishment it developed several evidence-based guidelines or wherever possible expert consensus to drive quality of inpatient diabetes care. [3] [4] The guidelines have been widely used across the UK and helped reduce variations by standardising approach to inpatient diabetes care. [1] Hypoglycaemia [5]
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CIHI uses data from governments and hospitals across Canada to determine comparative statistics and costing algorithms that are available for use by healthcare ministries, hospital boards and the general public. According to former CIHI president and CEO Richard Alvarez, CIHI's scope of research and data tracking is wide-ranging and broad. [20]
Because risk scores such as the Framingham Risk Score give an indication of the likely benefits of prevention, they are useful for both the individual patient and for the clinician in helping decide whether lifestyle modification and preventive medical treatment and for patient education, by identifying men and women at increased risk for future cardiovascular events.
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Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...
The Major Diagnostic Categories (MDC) are formed by dividing all possible principal diagnoses (from ICD-9-CM) into 25 mutually exclusive diagnosis areas.MDC codes, like diagnosis-related group (DRG) codes, are primarily a claims and administrative data element unique to the United States medical care reimbursement system.
The Naranjo algorithm, Naranjo Scale, or Naranjo Nomogram is a questionnaire designed by Naranjo et al. for determining the likelihood of whether an adverse drug reaction (ADR) is actually due to the drug rather than the result of other factors. Probability is assigned via a score termed definite, probable, possible or doubtful.