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The Lille Model is a medical modeling tool for predicting mortality in patients with alcoholic hepatitis who are not responding to steroid therapy. The model risk stratifies patients who have been receiving steroid treatment for seven days to predict who will improve and who should be considered for alternative treatment options including early referral for transplant.
MDCalc is a free online medical reference for healthcare professionals that provides point-of-care clinical decision-support tools, including medical calculators, scoring systems, and algorithms. [1] MDCalc is also a mobile and web app. [ 2 ] The decision-support tools are based on published clinical research, [ 3 ] and MDCalc’s content is ...
A medical calculator is a type of medical computer software, whose purpose is to allow easy calculation of various scores and indices, presenting the user with a friendly interface that hides the complexity of the formulas. Most offer further information such as result interpretation guides and medical literature references. [1]
The Nottingham prognostic index (NPI) is used to determine prognosis following surgery for breast cancer. [1] [2] Its value is calculated using three pathological criteria: the size of the tumour; the number of involved lymph nodes; and the grade of the tumour. [1]
The CIOMS/RUCAM scale has been proposed to establish causal relationship between offending drug and liver damage. The CIOMS/RUCAM scale involves a scoring system which categorizes the suspicion into "definite or highly probable" (score > 8), "probable" (score 6-8), "possible" (score 3-5), "unlikely" (score 1-2) and "excluded" (score ≤ 0).
[2] [3] For a physician, this score is helpful in deciding how aggressively to treat a condition. It is one of the most widely used scoring system for comorbidities. [ 4 ] The index was developed by Mary Charlson and colleagues in 1987, but the methodology has been adapted several times since then based on the findings of additional studies. [ 5 ]
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Interpretation [ edit ] The likelihood ratio is a function of the data x {\displaystyle x} ; therefore, it is a statistic , although unusual in that the statistic's value depends on a parameter, θ {\displaystyle \theta } .