Prediction of ineffectiveness of biological drugs using machine learning and explainable AI methods: data from the Austrian Biological Registry BioReg.

However, this was not statistically significant, only showing a statistical trend in CERT ( p = 0.068).

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Remarkably, opposite effects of variables could also be observed, e.g., for gender and rheumatoid factor, although these effects did not reach statistical significance as demonstrated in Table 2 .

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Whereas a lower RF showed a trend to associate with a smaller risk of ineffectiveness in ABA and TOC, the opposite was seen in CERT, whereas the rest of the aTNF did not show a distinct direction of effect.

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