Results 191 to 200 of about 130,978 (244)

Construction of Nomograms Describing the Effect of Different Variables on the Behavior of a KCl/Polymer Drilling Fluid

, 2001
Akram H Al-Hiti, Ali M. Al-Mashat, Fikret A Terzi   +2 more
openalex   +2 more sources

MRI-based radiomics nomogram for predicting CD8-positive tumor-infiltrating lymphocytes levels in HER2-positive breast cancer. [PDF]

Front Oncol
Li X, Dong Q, Cong C, Guo H, Zhang C, Zhong P, Fang J, Wang Y.   +7 more
europepmc   +1 more source

Nomogram for predicting tumor-stroma ratio in pancreatic ductal adenocarcinoma using dual-energy computed tomography. [PDF]

BMC Med Imaging
Chen W, Lin G, Mao W, Cao J, Xia S, Xu M, Lu C, Chen M, Ji J.   +8 more
europepmc   +1 more source

Risk prediction model of early vascular aging based on nomogram in patients with type 2 diabetes mellitus: a cross-sectional study in a Chinese population. [PDF]

Front Med (Lausanne)
Zhao X, Sun J, Xin S, Zhang X.
europepmc   +1 more source

Development and validation of a nomogram for all-cause mortality in osteoporosis patients over five years. [PDF]

PLoS One
Li Y, Xie X, Liu Y, Gong Z, Bi M, Li Y.
europepmc   +1 more source

A nomogram and random forest model for predicting liver metastasis in patients with early-onset colorectal cancer. [PDF]

Sci Rep
Han X, Bai X, Zhang Q, Qian X.
europepmc   +1 more source

Underground work in difficult climatic conditions (Emma/Hendrik mine). Community Ergonomic Research Technical report No. 6 [PDF]

, 1972
Koene, J.A., Ruwette, L.
core  

Nomogram Models Integrating TyG Index for Predicting Early Neurological Deterioration and 90-Day Outcomes in AIS Patients Undergoing IVT. [PDF]

J Cent Nerv Syst Dis
Wei L, Wu Z, Zhou X, Liu Z, Wu X, Zhang K, Wang P, Ye H.   +7 more
europepmc   +1 more source

Nomogram model for predicting post-intubation cardiac arrest in the emergency department: a retrospective study. [PDF]

Resusc Plus
Lou X, Zhang B, Jin M, Fang Y, Jin D, Zhou H.   +5 more
europepmc   +1 more source

Development of a nomogram model for predicting coronary heart disease in patients with metabolic-associated fatty liver disease. [PDF]

Front Cardiovasc Med
Li Z, Chen X, Wang J, Chen W, Zhang R, Cao L, Shi S, Ren L, Zhang W.   +8 more
europepmc   +1 more source