Identification and prediction of difficult-to-treat rheumatoid arthritis patients in structured and unstructured routine care data: results from a hackathon

Table 4 The most important features to identify non-D2T RA patients based on logistic regression coefficients

Feature	Logistic regression coefficient
Maximum ESR over time	0.84
Standard deviation of ESR values over time	0.78
Mean minus median of intermediate angle scatter of platelets over time	0.63
White blood cell count divided by lymphocyte concentration over time	0.62
Median length	0.58
Minimum potassium value over time	0.56
Female sex	0.56
Median neutrophils over time	0.46
Median percentage of reticulocytes over time	0.43
Standard deviation of DAS28-ESR score over time	0.43

Features are noted in order of importance. A higher value of a feature corresponds to a higher likelihood of having non-D2T RA
DAS28 disease activity score based on 28-joint count, ESR erythrocyte sedimentation rate, IAS intermediate angle scatter of platelet

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