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Accurate diagnosis of atopic dermatitis by applying random forest and neural networks with transcriptomic data

2022-04-05

Abstract excerpt

<h4>ABSTRACT</h4> Atopic dermatitis (AD) is one of the most common inflammatory skin diseases. But the great heterogeneity of AD makes it difficult to design an accurate diagnostic pipeline based on traditional diagnostic methods. In other words, the AD diagnosis has suffered from an inaccurate bottleneck. Thus, it is necessary to develop a novel and accurate diagnostic model to supplement existing methods. The re...

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Literature Corpus work
1518f112-6894-53d8-9f1d-5e394b77cb5a
DOI
10.1101/2022.04.04.22273382
Open publication

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Accurate diagnosis of atopic dermatitis by applying random forest and neural networks with transcriptomic dataDOI 10.1101/2022.04.04.22273382
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