Results 231 to 240 of about 6,285,799 (375)

Features with their corresponding Gini feature importance scores for decision trees and random forests predicting hospitalizations after outpatient urinary tract infection (UTI).

open access: green
Varuni Sarwal (6291391)   +4 more
openalex   +1 more source

Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

open access: yesAdvanced Science, EarlyView.
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol   +17 more
wiley   +1 more source

Analisa Terhadap Perbandingan Algoritma Decision Tree Dengan Algoritma Random Tree Untuk Pre-Processing Data

open access: hybrid, 2017
Saifullah Saifullah   +3 more
openalex   +1 more source

Metabolic Reprogramming of T Cells by Dual UCP2 and IL‐17 Blockade Enhances Immunity Against Pancreatic Cancer

open access: yesAdvanced Science, EarlyView.
This study demonstrates that dual UCP2/IL‐17 blockade reprograms T‐cell metabolism to overcome PDAC immunosuppression. Genipin‐mediated UCP2 inhibition enhances CD8⁺ T‐cell IFN‐γ via IL‐12R/STAT4/mTOR signaling and mitochondrial OXPHOS. Combined IL‐17 depletion amplifies Tc1/Th1 responses, reduces MDSCs, and prolongs survival in PDAC models ...
Chuan‐Teng Liu   +11 more
wiley   +1 more source

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