Supplementary Table S6 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN) за авторством Chaoyang Zhang (15051876)

Предмети: “...Artificial intelligence & machine learning...”

Supplementary Table S4 from Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN) за авторством Chaoyang Zhang (15051876)

Предмети: “...Artificial intelligence & machine learning...”

Additional file 11 of Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral... за авторством Xu Han (141301)

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Additional file 12 of Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral... за авторством Xu Han (141301)

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Additional file 13 of Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral... за авторством Xu Han (141301)

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Additional file 14 of Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral... за авторством Xu Han (141301)

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Associations between pre-assessment self-report measures and EMA (14-day) ratings. за авторством Chan-Young Ahn (22683343)

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Feature importance scores of the predictors. за авторством Chan-Young Ahn (22683343)

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Confusion Matrix for Binary Classification. за авторством Chan-Young Ahn (22683343)

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Descriptive statistics of demographic and clinical characteristics. за авторством Chan-Young Ahn (22683343)

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Multilevel logistic regression models with each negative emotions as a predictor. за авторством Chan-Young Ahn (22683343)

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Supplementary Appendix S1 from DNA-Methylome–Based Tumor Hypoxia Classifier Identifies HPV-Negative Head and Neck Cancer Patients at Risk for Locoregional Recurrence after Primary... за авторством Bouchra Tawk (15389486)

Предмети: “...Artificial intelligence & machine learning...”

<b>Axiom-Based AGI: A Quantum-Error-Corrected Architecture with Temporal Shard Memory</b> за авторством Lakshit Mathur (20894549)

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OpioidBias: A Machine Learning Tool for Predicting the Biased Agonism of Opioid Ligands за авторством Rajkumar R (22674565)

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OpioidBias: A Machine Learning Tool for Predicting the Biased Agonism of Opioid Ligands за авторством Rajkumar R (22674565)

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OpioidBias: A Machine Learning Tool for Predicting the Biased Agonism of Opioid Ligands за авторством Rajkumar R (22674565)

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OpioidBias: A Machine Learning Tool for Predicting the Biased Agonism of Opioid Ligands за авторством Rajkumar R (22674565)

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OpioidBias: A Machine Learning Tool for Predicting the Biased Agonism of Opioid Ligands за авторством Rajkumar R (22674565)

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OpioidBias: A Machine Learning Tool for Predicting the Biased Agonism of Opioid Ligands за авторством Rajkumar R (22674565)

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Machine Learning-Driven Cross-Species Toxicity Prediction for Advancing Ecologically Relevant PFAS Water Quality Criteria за авторством Weigang Liang (734333)

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