1. Modeling Nonignorable Missingness with Response Times Using Tree-based Framework in Cognitive Diagnostic Models Yang, Yi 2023 Theses Cognitive Diagnostic BatteryEducation--Computer-assisted instructionDecision treesMachine learningBayesian statistical decision theoryMonte Carlo method
2. Clinical signs associated with earlier diagnosis of children with autism Spectrum disorder Sicherman, Nachum; Charite, Jimmy; Eyal, Gil; Janecka, Magdalena; Loewenstein, George; Law, Kiely; Lipkin, Paul H.; Marvin, Alison R.; Buxbaum, Joseph D. 2021 Articles Autism spectrum disorders in childrenAutism in children--DiagnosisMachine learning--Statistical methodsDecision treesSymptoms
3. Forecasting incidence of infectious diarrhea using random forest in Jiangsu Province, China Fang, Xinyu; Liu, Wendong; Ai, Jing; He, Mike; Wu, Ying; Shi, Yingying; Shen, Wenqi; Bao, Changjun 2020 Articles Diarrhea--EpidemiologyDecision treesForecasting
4. Training Decision Trees for Optimal Decision-Making McNellis, Ryan Thomas 2020 Theses Operations researchStatisticsMathematicsDecision makingDecision trees
5. Robust Statistical Approaches Dealing with High-Dimensional Observational Data Zhu, Huichen 2019 Theses BiometryBiometry--Data processingStatisticsDecision trees
6. Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization Gowrishankar, Banumathy; Cahill, Lynnette; Arndt, Alexandra E.; Al‐Ahmadie, Hikmat; Lin, Oscar; Chadalavada, Kalyani; Chaganti, Seeta; Nanjangud, Gouri J.; Vundavalli, Murty V.; Chaganti, Raju; Reuter, Victor; Houldsworth, Jane 2014 Articles Renal cell carcinomaNeedle biopsyFluorescence in situ hybridizationDecision trees