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3 mar 2017 · Here, we present the new SwissADME web tool that gives free access to a pool of fast yet robust predictive models for physicochemical properties, pharmacokinetics, drug-likeness and medicinal...
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Prescription pattern monitoring studies (PPMS) are a tool for assessing the prescribing, dispensing and distribution of medicines. The main aim of PPMS is to facilitate rational use of medicines (RUM). There is paucity of published data analysing the effectiveness of PPMS.
When considering the analysis of provenance data, detecting patterns in interaction logs by either the manual or automated approach can enable systems to predict future interactions, as well as providing users with insight into their own behaviors.
The PICO process (or framework) is a mnemonic used in evidence-based practice (and specifically evidence-based medicine) to frame and answer a clinical or health care related question, [1] though it is also argued that PICO "can be used universally for every scientific endeavour in any discipline with all study designs". [2] .
PATN generates estimates of association (resemblance, affinity, distance) between any set of objects described by a suite of variables (attributes). PATN then classifies the objects into groups, condenses the information into three dimensions and displays the patterns in your data graphically.
Depending on the data and the patterns, sometimes we can see that pattern in a simple tabular presentation of the data. Other times, it helps to visualize the data in a chart, like a time series, line graph, or scatter plot. Let's explore examples of patterns that we can find in the data around us.
18 sie 2020 · Principal component analysis, or PCA, is a statistical procedure that allows you to summarize the information content in large data tables by means of a smaller set of “summary indices” that can be more easily visualized and analyzed.
