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Fig. 2 | Alzheimer's Research & Therapy

Fig. 2

From: Machine learning models for dementia screening to classify brain amyloid positivity on positron emission tomography using blood markers and demographic characteristics: a retrospective observational study

Fig. 2

Cross-validated area under the curves of amyloid β positivity classification models: L2-regularized logistic regression

Model 0: demographic characteristics (age, sex, body mass index, years of education) Model 1: Model 0 plus all MMSE subscores Model 2: Model 0 plus blood test results (excluding ApoE4 phenotype) and the other demographic characteristics (medical history, current alcohol consumption, and smoking status) Model 3: Model 2 plus all MMSE subscores Model 4: Model 3 plus ApoE4 phenotype Horizontal lines are median values, upper and lower box edges show the first quartile (Q1) and the third quartile (Q3), and upper and lower whiskers represent the 1st quartile − 1.5 × the IQR and 3rd quartile + 1.5 × the IQR, respectively. Circle point is an outlier beyond the whisker range ApoE4 apolipoprotein E4, AUC area under the curve, IQR interquartile range, MMSE Mini Mental State Examination

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Alzheimer's Research & Therapy

ISSN: 1758-9193