https://www.selleckchem.com/pr....oducts/CP-690550.htm
To estimate the effectiveness of combining facial expression recognition and machine learning for better detection of distress. 232 patients with cancer in Sichuan University West China Hospital in Chengdu, China. The Distress Thermometer (DT) and Hospital Anxiety and Depression Scale (HADS) were used as instruments. The HADS included scores for anxiety (HADS-A), depression (HADS-D), and total score (HADS-T). Distressed patients were defined by the DT cutoff score of 4, the HADS-A cutoff score of 8 or 9, the HADS-D cutoff score of 8 o
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