Phoebe Finneran, Mabel P Toribio, Pradeep Natarajan, Michael C Honigberg
Delays in Accessing Healthcare Across the Gender Spectrum in the All of Us Research Program
Journal of general internal medicine
cancer diagnosis plays key role facilitating treatment improving survival rates patients combination nearinfrared nir spectroscopy datadriven algorithms offers rapid costeffective approach task due limitations objective cases number tumor samples usually smaller resulting dataset exhibit issues class imbalance serious impact performance diagnostic models deal class imbalance improve sensitivity work investigates feasibility nir spectroscopy combined virtual sample generation vsg well ensemble strategy developing diagnostic models based preliminary experiment several learning algorithms discriminant analysis da partial least squarediscriminant analysis plsda screened algorithms constructing prediction models three algorithms vsg including synthetic minority oversampling technique smote borderlinesmote adaptive synthetic sampling adasyn used experiment fixed sample subset composed 27 cancer samples 54 normal samples hold test set three training sets containing 5 10 25 minority class samples 54 majority class samples used model development experimental result indicates overall plsda algorithm vsg approaches significantly improve sensitivity cancer diagnosis cases training sets different minority samples adasyn performs best reveals integration nir plsda adasyn promising tool package developing diagnosis methods