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2020-01-30 16:24:26 +01:00

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<h2>USER MANUAL</h2>
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<h5>AIM OF THE TOOL</h5>
<p>The main aim is to provide a free, user-friendly on-line interface of an ad-hoc developed algorithm that evaluates the effects of genetic/demographic AD-related factors (APOE, age and sex) on the detected biomarker cut-offs. The idea is to allow people non-familiar with the R package to use this powerful instrument for improving the disease understanding and to create a platform for collaboration of different centers and researchers.</p>
<p>The algorithm allows to:</p>
<ol>
<li>detect the presence of subgroup population in AD biomarkers distribution,
</li>
<li>to identify corresponding cut-offs that allows to classify subject/patients in terms of prognostic evaluation;
</li>
<li>(importantly) to evaluate the effect of genetic/demographic AD-related factors (APOE, age and sex) on the identified subgroup population, i.e. to evaluate if and how AD risk factors influence the biomarker cut-offs extraction in order to improve the prognostic evaluation.
</li>
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<h5>DATA USAGE AND MANAGEMENT</h5>
Here a brief explanation of data management criteria
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<li>Data are saved anonimized / pseudonimized (with reference to upload user)</li>
<li>Data are saved only temporaly on our server and just to provide enough time to process and to retrieve data</li>
<li>only recent job submitted are shown and available to download to cope with previous non-persistence data policy</li>
<li>jobs calculation are automatically deleted from system archive 4 week after processing</li>
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<h5>OUTPUT</h5>
How to read data:
<p>....</p>
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