Geldine Chironda, Petra Brysiewicz
Student nurse perceptions of family nursing practices in South Africa: A descriptive survey
Health SA = SA Gesondheid
nonalcoholic fatty liver disease nafld common liver disease affecting global population impact human health continue increase genetic susceptibility important factor influencing onset progression lack reliable methods predict susceptibility normal populations nafld using appropriate genes rna sequencing data relating nonalcoholic fatty liver disease analyzed using limma package within r software differentially expressed genes obtained preliminary intersection screening core genes analyzed obtained establishing comparing 4 machine learning models prediction model nafld constructed effectiveness model evaluated applicability reliability verified finally conducted gene correlation analysis analysis biological function analysis immune infiltration comparing 4 machine learning algorithms identified svm optimal model first 6 genes cd247 s100a9 csf3r dip2c oxct 2 pramef16 predictive genes nomogram found good reliability effectiveness six genes receiver operating characteristic curves roc suggest essential role nafld pathogenesis exhibit high predictive value analysis immunology demonstrated 6 genes closely connected various immune cells pathways study successfully constructed advanced reliable prediction model based 6 diagnostic gene markers predict susceptibility normal populations nafld also providing insights potential targeted therapies