Logo Medical Science Monitor

Call: +1.631.470.9640
Mon - Fri 10:00 am - 02:00 pm EST

Contact Us

Logo Medical Science Monitor Logo Medical Science Monitor Logo Medical Science Monitor

17 November 2022: Clinical Research

Identification and Validation of a Novel Model: Predicting Short-Term Complications After Local Flap Surgery for Skin Tumor Removal

Zhengnan Zhao ABCDEF , Yue Tao B , Xinjian Xiang C , Zexu Liang B , Yu Zhao A*

DOI: 10.12659/MSM.938002

Med Sci Monit 2022; 28:e938002

Figure 1 Predictor selection using a LASSO logistic regression model. (A) Penalty profile of scalar coefficients of 16 possible influencing factors. The 5-fold cross-validation of the minimum criterion was used to identify the optimal penalty coefficient in the LASSO model. (B) A dotted vertical line is drawn at the best value using the minimum standard and 1 standard error of the minimum standard (1-SE standard). Six features with non-zero coefficients resulted in the optimal lambda. Figure created with R software (version 4.2.0).

Your Privacy

We use cookies to ensure the functionality of our website, to personalize content and advertising, to provide social media features, and to analyze our traffic. If you allow us to do so, we also inform our social media, advertising and analysis partners about your use of our website, You can decise for yourself which categories you you want to deny or allow. Please note that based on your settings not all functionalities of the site are available. View our privacy policy.

Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750