Table 4_Machine learning-based analysis identifies glucose metabolism-related genes ADPGK as potential diagnostic biomarkers for clear cell renal cell carcinoma.xlsx حسب Tie Li (1481803)

"…Therefore, based on machine learning analysis algorithms, we analysed the correlation between glycometabolic pathways and ccRCC in the REACTOME database and verified the impact of the key gene ADPGK on the prognosis of ccRCC.…"

Table 3_Machine learning-based analysis identifies glucose metabolism-related genes ADPGK as potential diagnostic biomarkers for clear cell renal cell carcinoma.xls حسب Tie Li (1481803)

"…Therefore, based on machine learning analysis algorithms, we analysed the correlation between glycometabolic pathways and ccRCC in the REACTOME database and verified the impact of the key gene ADPGK on the prognosis of ccRCC.…"

Construction and Validation of RSF-based AML Prognostic Prediction Model. حسب Jincan Li (8962121)

Comparison of classic network models. حسب Hui Wei (126971)

Node state transition graph. حسب Hui Wei (126971)

Data Sheet 1_MRI-based intra-tumoral ecological diversity features and temporal characteristics for predicting microvascular invasion in hepatocellular carcinoma.docx حسب Yuli Zeng (20812739)

8-point DIT NTT data flow. حسب Ayesha Waris (21368446)

Image 1_Identification of gene signatures and potential pharmaceutical candidates linked to COVID-19-related depression based on gene expression profiles.tif حسب Shaojun Chen (2205268)

"…Subsequently, we employed two machine learning analyses—least absolute shrinkage and selection operator (LASSO) and random forest algorithms– to pinpoint shared hub gene between the two diseases. …"

Data Sheet 1_The value of multi-phase CT based intratumor and peritumoral radiomics models for evaluating capsular characteristics of parotid pleomorphic adenoma.zip حسب Qian Shen (89639)

"…Quantitative radiomics features of the intratumoral and peritumoral regions of 2 mm and 5 mm on CT images were extracted, and radiomics models of Tumor, External2, External5, Tumor+ External2, and Tumor+External5 were constructed and used to train six different machine learning algorithms. Meanwhile, the prediction performances of different radiomics models (Tumor, External2, External5, Tumor+External2, Tumor+External5) based on single phase (plain, arterial, and venous phase) and multiphase (three-phase combination) were compared. …"

The Receiver Operating Characteristic (ROC) curve for each screening model. حسب Jung-Wee Park (10689240)

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Patient demographics. حسب Jung-Wee Park (10689240)

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Diagnoses of the patients with hip disease. حسب Jung-Wee Park (10689240)

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Performance of four screening models for hip disease. حسب Jung-Wee Park (10689240)

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The Grad-CAM images of the 1^st model showing the emphasis on the unrelated marks (“stand” or “R”). حسب Jung-Wee Park (10689240)

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The Grad-CAM images of the 3^rd model showing the emphasis on sciatic notches. حسب Jung-Wee Park (10689240)

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The Grad-CAM images of the 2^nd model showing the emphasis on the femoral shafts. حسب Jung-Wee Park (10689240)

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The Grad-CAM images of the 4^th model, which showed highest performance. حسب Jung-Wee Park (10689240)

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Data Sheet 1_Development of a visualized risk prediction system for sarcopenia in older adults using machine learning: a cohort study based on CHARLS.docx حسب Jinsong Du (8634642)

"…</p>Methods<p>This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), including a cohort of 2,717 middle-aged and older adult participants. Ten machine learning algorithms, such as CatBoost, XGBoost, and NGBoost, were used to construct predictive models.…"

Data Sheet 1_Exploration of potential biomarkers and immune cell infiltration characteristics for peripheral atherosclerosis in sjögren’s syndrome based on comprehensive bioinforma... حسب Chunjiang Liu (125011)

<b>A 0.1</b><b>° </b><b>gridded dataset of forest biological hazards in China from 1900 to 2000 based on integrated learning</b> حسب Zijing Zhang (20568491)