Results 81 to 90 of about 130,883 (345)
Surgical strategies for hepatocellular carcinoma located in the left lateral lobe: A propensity score‐matched and prognostic nomogram study [PDF]
Jingwen Zou +9 more
openalex +1 more source
BACKGROUND: The objective of current study was to develop and validate a nomogram to predict overall survival in pancreatic neuroendocrine tumors (PNETs).
Dong-liu Miao +6 more
doaj +1 more source
A machine learning model for distinguishing Kawasaki disease from sepsis
KD is an acute systemic vasculitis that most commonly affects children under 5 years old. Sepsis is a systemic inflammatory response syndrome caused by infection.
Chi Li +6 more
doaj +1 more source
External Validation of the Briganti Nomogram to Predict Lymph Node Invasion in Prostate Cancer—Setting a New Threshold Value [PDF]
Bartosz Małkiewicz +7 more
openalex +1 more source
Purpose The prognosis of inflammation-related indicators like lactate dehydrogenase/albumin ratio (LAR) and the platelet/lymphocyte ratio (PLR) in nasopharyngeal carcinoma (NPC) is not yet clear.
Ru-Rong Peng +5 more
semanticscholar +1 more source
Accurate lymph node metastasis (LNM) prediction in colorectal cancer (CRC) patients is of great significance for treatment decision making and prognostic evaluation.
Menglei Li +7 more
semanticscholar +1 more source
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago +3 more
wiley +1 more source
Objective To construct and validate a clinically accurate and histology-specific nomogram to predict overall survival (OS) among liposarcoma (LPS) patients.
Shuai Cao +6 more
doaj +1 more source
Nomogram model performance: The study develops a predictive model using Lasso regression, incorporating key clinical factors, which achieves excellent discriminatory performance in both training and validation sets. Potential for clinical application: The A‐PSAD‐based model shows great promise for personalized PCa screening, particularly in reducing ...
Ziyang Liu +6 more
wiley +1 more source
Introduction The purpose of this study was to construct and validate a nomogram for predicting cancer-specific survival (CSS) in undifferentiated pleomorphic sarcoma (UPS) patients at 3, 5, and 8 years after the diagnosis.
Fengshuo Xu +7 more
doaj +1 more source

