Showing 1 - 20 results of 5,830 for search '(((( learning based decrease ) OR ( _ systematic decrease ))) OR ( _ large decrease ))', query time: 0.51s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12

    <b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

    Published 2025
    “…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18

    Table 2_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

    Published 2025
    “…</p>Objective<p>To systematically assess ML-based mortality risk prediction models for SA-AKI patients.…”
  19. 19

    Table 4_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

    Published 2025
    “…</p>Objective<p>To systematically assess ML-based mortality risk prediction models for SA-AKI patients.…”
  20. 20

    Table 3_Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.xlsx by Xu Li (23864)

    Published 2025
    “…</p>Objective<p>To systematically assess ML-based mortality risk prediction models for SA-AKI patients.…”