Results 221 to 230 of about 165,366 (392)
Development and validation of a machine learning-based nomogram for survival prediction of patients with hilar cholangiocarcinoma after curative-intent resection. [PDF]
Ma Y+7 more
europepmc +1 more source
Development of vibration design procedures for representative structural types Final technical report, Sep. 1965 - Jul. 1966 [PDF]
Effects of multimode and damping on random fatigue of cantilever beams and ...
Gunning, J. H., Hines, D. E.
core +1 more source
Nomogram For the Konigsberger Ratio of Rock Formations
Philip Thomas. Hood
openalex +1 more source
ID1 was identified as the feature gene of CD14+ monocytes, which exhibited the well‐known ability of diagnosis and prediction of T1D. ABSTRACT Aims/Introduction Monocytes contribute to the immune dysregulation of pancreatic islets in Type 1 diabetes mellitus (T1D).
Jin Huang+6 more
wiley +1 more source
A nomogram model for predicting risk factors and the outcome of skin ulcer. [PDF]
Jia H, Tan Y, Li H, Bu X, Li L, Lei X.
europepmc +1 more source
Diagnosis melanoma with artificial intelligence systems: A meta‐analysis study and systematic review
This meta‐analysis evaluates the diagnostic accuracy of AI‐based skin cancer models. The pooled AUC was 0.96, with sensitivity and specificity of 0.89 and 0.92, respectively. Hybrid models demonstrated superior performance (AUC: 0.98) compared to single DL (AUC:0.95) and ML (AUC:0.95) models.
Gözde Ertürk Zararsız+10 more
wiley +1 more source
Development and internal validation of the PROFIT and POSITIVE prognostic nomograms for patients undergoing VA-ECMO therapy. [PDF]
Qian S, Li P, Hou X, Dong N.
europepmc +1 more source
ABSTRACT Background Deep vein thrombosis (DVT) is a frequent complication following endovascular thrombectomy (EVT) in patients with acute ischaemic stroke (AIS), potentially leading to fatal pulmonary embolism (PE). Identifying patients early at high risk for DVT is clinically important.
Li Han+8 more
wiley +1 more source