Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy. [PDF]
Rimal Y+5 more
europepmc +1 more source
A predictive model for recurrence in patients with borderline ovarian tumor based on neural multi-task logistic regression. [PDF]
Ye Q+7 more
europepmc +1 more source
In rectal cancer surgery, this study examined the risk factors for urinary dysfunction and the effect of autonomic nervous system resection extent on urinary dysfunction. Autonomic nervous system resection and lateral lymph node dissection were independent risk factors for urinary dysfunction.
Sodai Arai+9 more
wiley +1 more source
Constructing a logistic regression-based prediction model for subsequent early pregnancy loss in women with pregnancy loss. [PDF]
Ding N, Wang P, Wang X, Wang F.
europepmc +1 more source
In an analysis of two RCTs of IRI‐based second‐line chemotherapy for AGC, patients with prior gastrectomy had better OS and PFS than patients without prior gastrectomy. Furthermore, patients with prior gastrectomy had a better prognosis in OS and PFS adjusted for background factors as well. Abstract Aims Second‐line chemotherapy (SLC) improves survival
Kazuhiro Nishikawa+12 more
wiley +1 more source
Statistical notes for clinical researchers: logistic regression
Hae-Young Kim
doaj +1 more source
Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients. [PDF]
Wu H+5 more
europepmc +1 more source
Use of Logistic Regression Analysis in the Diagnosis of Shoulder Impingement Syndrome
Mark A. Stieler
openalex +1 more source
The MTG group had a significantly lower incidence of severe postoperative complications than the OTG group. Moreover, the incidences of pancreatic fistula and intra‐abdominal abscess were also significantly lower in the MTG than in the OTG group. Additionally, the median hospital stay for the MTG group was significantly shorter than that of the OTG ...
Motonari Ri+6 more
wiley +1 more source
A comprehensive study of coefficient signs in weighted logistic regression. [PDF]
Zeng G.
europepmc +1 more source