Chloé Jammes, Madeleine Ward, Xue Geng, Amy Burke, Julia Langley
Visual Intelligence Education as a Tool for Enhancing Medical Students' Self-Perception of Communication Skills
Journal of medical education and curricular development
genetic studies identified associations gene mutations clear cell renal cell carcinoma ccrcc since complete gene mutational landscape cannot characterized biopsy sequencing assays patient noninvasive tools needed determine mutation status tumors radiogenomics may attractive alternative tool identify disease genomics analyzing amounts features extracted medical images current radiogenomics predictive models built based single classifier trained single objective however since many classifiers available selecting optimal model challenging hand single objective may good measure guide model training proposed new multiclassifier multiobjective mcmo radiogenomics predictive model obtain reliable prediction results similaritybased sensitivity specificity defined considered two objective functions simultaneously training take advantage different classifiers evidential reasoning er approach used fusing output classifier additionally new similaritybased multiobjective optimization algorithm smo developed training mcmo predict ccrcc related gene mutations vhl pbrm1 bap1 using quantitative ct features using proposed mcmo model achieved predictive area receiver operating characteristic curve auc 085 vhl pbrm1 bap1 genes balanced sensitivity specificity furthermore mcmo outperformed individual classifiers yielded reliable results optimization algorithms commonly used fusion strategies