Calibration plots for all models on the Derivation cohort. حسب Agni Orfanoudaki (8878097)

Selecting an optimal machine learning classifier. حسب Ramu Anandakrishnan (294535)

Manhattan plot of the univariate <i>p</i>-values for body mass index. حسب Junyang Qian (9558026)

Manhattan plot of the univariate <i>p</i>-values for asthma. حسب Junyang Qian (9558026)

Manhattan plot of the univariate <i>p</i>-values for height. حسب Junyang Qian (9558026)

Manhattan plot of the univariate <i>p</i>-values for high cholesterol. حسب Junyang Qian (9558026)

Dual UHPLC-HRMS Metabolomics and Lipidomics and Automated Data Processing Workflow for Comprehensive High-Throughput Gut Phenotyping حسب P. Vangeenderhuysen (15854812)

"…The latter was benchmarked toward vendor-specific targeted and untargeted software and our isotopologue parameter optimization/XCMS-based untargeted pipeline in LifeLines Deep cohort samples (<i>n</i> = 97). …"

A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range. حسب Jamison H. Burks (21029607)

Establishment of MPM. حسب Amir Abbas Navidinia (21656136)

DataSheet2_Concordance of the treatment patterns for major depressive disorders between the Canadian Network for Mood and Anxiety Treatments (CANMAT) algorithm and real-world pract... حسب Lu Yang (30847)

"…</p><p>Conclusion: Gap existed between clinical practice and AD algorithm. Improved access to evidence-based treatment is required, especially for optimized strategies during outpatient follow-up.…"

DataSheet1_Concordance of the treatment patterns for major depressive disorders between the Canadian Network for Mood and Anxiety Treatments (CANMAT) algorithm and real-world pract... حسب Lu Yang (30847)

"…</p><p>Conclusion: Gap existed between clinical practice and AD algorithm. Improved access to evidence-based treatment is required, especially for optimized strategies during outpatient follow-up.…"

Methodology block diagram. حسب Gahao Chen (21688843)

"…Six machine learning algorithms - Random Forest (RF), AdaBoost, Light Gradient Boosting Machine (LightGBM), eXtreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost), and Tabular Prior-data Fitted Network version 2.0 (TabPFN-V2) - were implemented with five-fold cross-validation to optimize model hyperparameters. …"

Table_4_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.xlsx حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Image_2_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.tiff حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Table_2_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.xlsx حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Image_1_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.tiff حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Image_4_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.tiff حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Table_1_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.xlsx حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Image_3_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.tiff حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"

Table_3_Computed Tomography Imaging-Based Radiogenomics Analysis Reveals Hypoxia Patterns and Immunological Characteristics in Ovarian Cancer.xlsx حسب Songwei Feng (11200268)

"…Finally, optimal radiogenomics biomarkers for predicting the risk status of patients were developed by machine learning algorithms.…"