Deep machine learning algorithms have demonstrated an enhanced predicting ability to correctly identify malnutrition in patients with gastric cancer when utilizing imaging features such as psoas muscle at the third lumbar vertebrate and clinical prognostic features such as BMI and albumin and lymphocyte count [134]. Here, ALB is linked to nutritional deficiency disease.