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[6] [7] Klout scores ranged from 1 to 100, with higher scores corresponding to a higher ranking of the breadth and strength of one's online social influence. While all Twitter users were assigned a score, users who registered at Klout could link multiple social networks, of which network data was then aggregated to influence the user's Klout Score.
QRISK3 (the most recent version of QRISK) is a prediction algorithm for cardiovascular disease (CVD) that uses traditional risk factors (age, systolic blood pressure, smoking status and ratio of total serum cholesterol to high-density lipoprotein cholesterol) together with body mass index, ethnicity, measures of deprivation, family history, chronic kidney disease, rheumatoid arthritis, atrial ...
Simple to calculate: In simple cases, manual computing can be used to calculate a basic score (although some scores use rely on more sophisticated or less transparent calculations that require a computer program). Easily interpreted: The result of the calculation is a single number, with a higher score usually means higher risk.
Impute.me was an open-source non-profit web application that allowed members of the public to use their data from direct-to-consumer (DTC) genetic tests (including tests from 23andMe and Ancestry.com) to calculate polygenic risk scores (PRS) for complex diseases and cognitive and personality traits.
We examined the 18,686,752 Twitter users who followed Trump or Clinton at the time of our analysis. Of those, 7,972,079 users wrote bios: 4,232,803 Clinton followers and 5,078,544 Trump followers. There’s an overlap of 1,339,268 users with bios who follow both Clinton and Trump. Organizing the profile information took weeks:
The score is an index which takes into account the correlative and causal relationship between mortality and factors including advancing age, burn size, the presence of inhalational injury. [2] Studies have shown that the Baux score is highly correlative with length of stay in hospital due to burns and final outcome.
The USCF initially aimed for an average club player to have a rating of 1500 and Elo suggested scaling ratings so that a difference of 200 rating points in chess would mean that the stronger player has an expected score of approximately 0.75. A player's expected score is their probability of winning plus half their probability of drawing. Thus ...
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