Table 2.
Features included in the two prediction models
| Feature | Model | Selection fraction | Average coefficient |
|---|---|---|---|
| Proteomic | |||
| AACT_ADLSGITGAR | 2 | 1.00 | 0.122 |
| APOE_ALMDETMK | 2 | 0.99 | −0.195 |
| APOH_EHSSLAFWK | 2 | 1.00 | 0.08 |
| FETUA_HTLNQIDEVK | 2 | 0.97 | 0.082 |
| HBA_MFLSFPTTK | 2 | 1.00 | 0.231 |
| PHLD_NQVVIAAGR | 2 | 1.00 | 0.286 |
| Sociodemographic | |||
| BMI | 2 | 1.00 | 0.291 |
| Childhood trauma | 2 | 1.00 | 0.115 |
| Education; intermediate | 2 | 0.93 | 0.065 |
| Education; high | 2 | 0.93 | −0.055 |
| Clinical | |||
| Sadness; mild | 2 | 1.00 | −0.681 |
| Sadness; moderate | 2 | 1.00 | 0.819 |
| Sadness; severe | 2 | 1.00 | 0.369 |
| Fatigue; mild | 2 | 1.00 | −0.124 |
| Fatigue; moderate | 2 | 1.00 | 0.339 |
| Fatigue; severe | 2 | 1.00 | 0.085 |
| Leaden paralysis; mild | 2 | 1.00 | −0.145 |
| Leaden paralysis; moderate | 2 | 1.00 | 0.219 |
| Leaden paralysis; severe | 2 | 1.00 | 0.272 |
| IDS30 total score | 1 | 1.00 | 0.346 |
IDS inventory of depressive symptomatology, BMI body mass index, AACT alpha-1-antichymotrypsin, APOE apolipoprotein E, APOH apolipoprotein H, FETUA fetuin-A, HBA haemoglobin subunit alpha, PHLD glycoprotein phospholipase D
Model 1 (one feature) was based on the dominant unique model in Analysis 1 (model selection including IDS30 total score), and Model 2 (12 features) was developed by implementing feature extraction and model averaging in Analysis 2 (model selection excluding IDS30 total score) in the absence of a dominant unique model. The selection fraction and the average coefficient of the features are shown. Proteomic features are represented in a Protein_Peptide format. Categorical features (education, sadness, fatigue and leaden paralysis) are represented as sets of dummy variables