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PCA and logistic regression in 2-[18F]FDG PET neuroimaging as an interpretable and diagnostic tool for Alzheimer’s disease
Gonçalves de Oliveira, Carlos Eduardo, de Araújo, Whemberton Martins, de Jesus Teixeira, Ana Beatriz Marinho, Gonçalves, Gustavo Lopes, Itikawa, Emerson Nobuyuki
Published in Physics in medicine & biology (21.01.2024)
Published in Physics in medicine & biology (21.01.2024)
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Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis
Song, Xuan, Liu, Xinyan, Liu, Fei, Wang, Chunting
Published in International journal of medical informatics (Shannon, Ireland) (01.07.2021)
Published in International journal of medical informatics (Shannon, Ireland) (01.07.2021)
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Logistic Regression With Tangent Space-Based Cross-Subject Learning for Enhancing Motor Imagery Classification
Gaur, Pramod, Chowdhury, Anirban, McCreadie, Karl, Pachori, Ram Bilas, Wang, Hui
Published in IEEE transactions on cognitive and developmental systems (01.09.2022)
Published in IEEE transactions on cognitive and developmental systems (01.09.2022)
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Partitioned GMM logistic regression models for longitudinal data
Irimata, Kyle M., Broatch, Jennifer, Wilson, Jeffrey R.
Published in Statistics in medicine (30.05.2019)
Published in Statistics in medicine (30.05.2019)
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Non-contact screening system based for COVID-19 on XGBoost and logistic regression
Dong, Chunjiao, Qiao, Yixian, Shang, Chunheng, Liao, Xiwen, Yuan, Xiaoning, Cheng, Qin, Li, Yuxuan, Zhang, Jianan, Wang, Yunfeng, Chen, Yahong, Ge, Qinggang, Bao, Yurong
Published in Computers in biology and medicine (01.02.2022)
Published in Computers in biology and medicine (01.02.2022)
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Modeling go-around occurrence using principal component logistic regression
Dai, Lu, Liu, Yulin, Hansen, Mark
Published in Transportation research. Part C, Emerging technologies (01.08.2021)
Published in Transportation research. Part C, Emerging technologies (01.08.2021)
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Validation data-based adjustments for outcome misclassification in logistic regression: an illustration
Lyles, Robert H, Tang, Li, Superak, Hillary M, King, Caroline C, Celentano, David D, Lo, Yungtai, Sobel, Jack D
Published in Epidemiology (Cambridge, Mass.) (01.07.2011)
Published in Epidemiology (Cambridge, Mass.) (01.07.2011)
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Internal validation of predictive models: Efficiency of some procedures for logistic regression analysis
Steyerberg, Ewout W, Harrell, Frank E, Borsboom, Gerard J.J.M, Eijkemans, M.J.C, Vergouwe, Yvonne, Habbema, J.Dik F
Published in Journal of clinical epidemiology (01.08.2001)
Published in Journal of clinical epidemiology (01.08.2001)
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