Tilahun Degu Tsega, Gashaw Melkie Bayeh, Kassaye Demeke Alemu, Abaynew Assemu Asrade, Abebaw Molla Kebede, Tamiru Alene, Zewdu Bishaw Aynalem, Bezawit Adane, Melaku Yalew, Molla Getie Mehari, Almaw Genet Yeshiwas, Tadesse Miretie Dessie, Eniyew Talie Fenta, Kefale Mitiku Haylu
The effect of parity on time to initiate complementary feeding among mother-infant pairs in Awi Zone, Northwest Ethiopia
Italian journal of pediatrics
diabetes persistent metabolic disorder linked elevated levels blood glucose commonly referred blood sugar condition detrimental effects heart blood vessels eyes kidneys nerves time passes chronic ailment arises body fails produce enough insulin unable effectively use insulin produces diabetes properly managed often leads hyperglycemia condition characterized elevated blood sugar levels impaired glucose tolerance result significant harm various body systems including nerves blood vessels paper propose multiclass diabetes mellitus detection classification approach using extremely imbalanced laboratory medical city hospital data dynamics also formulate new dataset moderately imbalanced based laboratory medical city hospital data dynamics correctly identify multiclass diabetes mellitus employ three machine learning classifiers namely support vector machine logistic regression knearest neighbor also focus dimensionality reduction feature selectionfilter wrapper embedded method prune unnecessary features scale classification performance optimize classification performance classifiers tune model hyperparameter optimization 10fold grid search crossvalidation case original extremely imbalanced dataset 7030 partition support vector machine classifier achieved maximum accuracy 0964 precision 0968 recall 0964 f1score 0962 cohen kappa 0835 auc 099 using top 4 feature according filter method using top 9 features according wrapperbased sequential feature selection knearest neighbor provides accuracy 0935 10 performance metrics created moderately imbalanced dataset 8020 partition svm classifier achieves maximum accuracy 0938 10 performance metrics multiclass diabetes mellitus detection classification experiments outperformed conducted research based laboratory medical city hospital data dynamics