Results 161 to 170 of about 34,329 (314)

Comparative predictive accuracy of machine learning versus traditional statistical methods for diabetes‐related complications: A systematic review and analysis

Diabetic Medicine, EarlyView.
This systematic review of 36 studies comparing machine learning with traditional statistical models for predicting diabetes‐related complications found modest discrimination gains with ensemble approaches, particularly random forest and gradient boosting.
Bismah Ghafoor, Francesco Zaccardi, Kamlesh Khunti, Sharmin Shabnam   +3 more
wiley   +1 more source

Nomogram for Anaesthetic Uptake [PDF]

Anaesthesia and Intensive Care, 1994
H J, Lowe, J F, Viljoen
openaire   +2 more sources

A Cross‐Nationally Validated Nomogram for Cardiometabolic Multimorbidity in Overweight/Obese Older Adults: CHARLS and HRS Cohorts

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims Middle‐aged and older adults with overweight or obesity are at increased risk of cardiometabolic multimorbidity (CMM), yet validated prediction tools tailored to this population remain limited. This study aimed to develop and validate a multidimensional nomogram integrating metabolic, functional and psychological predictors. Materials and
Yanhan Wei, Siyi He, Huizhen Chen, Yanzhong Wang   +3 more
wiley   +1 more source

Comparative Validation of a VISULYZE-Based Nomogram for Predicting Visual Outcomes and Higher-Order Aberrations After SMILE in High Myopia. [PDF]

J Ophthalmol
Zhao L, Gao N, Liu E, Cheng X, Li J, Ji H, Yu Y.   +6 more
europepmc   +1 more source

To Treat or Not to Treat: Navigating Early‐Stage CLL in the Era of Targeted Therapy

European Journal of Haematology, EarlyView.
ABSTRACT Chronic lymphocytic leukemia (CLL) is most frequently diagnosed at early, asymptomatic stages (Rai 0/Binet A), in which a watch‐and‐wait strategy remains the standard of care, based on historical trials demonstrating no overall survival benefit from early treatment.
Enrica Antonia Martino, Santino Caserta, Ernesto Vigna, Giovanna Cutrona, Antonella Bruzzese, Francesco Mendicino, Maria Eugenia Alvaro, Caterina Labanca, Eugenio Lucia, Virginia Olivito, Nicola Amodio, Franco Fais, Antonino Neri, Manlio Ferrarini, Valter Gattei, Fortunato Morabito, Massimo Gentile   +16 more
wiley   +1 more source

Utilising VISULYZE-Generated Nomograms and OcuLign Alignment Tools to Improve Keratorefractive Lenticule Extraction Outcomes. [PDF]

J Clin Med
Siregar SR, Ardiani LS, Hutauruk JA.
europepmc   +1 more source

Coronal and Root Caries in Older Adults: Associated Factors, Quality of Life Impact, and Treatment—A Scoping Review

Gerodontology, EarlyView.
ABSTRACT Background Dental caries remains one of the most common chronic diseases affecting older adults worldwide. As edentulism decreases and more natural teeth are retained into old age, the number of susceptible tooth surfaces increases. Age‐related factors such as polypharmacy, cognitive decline, and reduced oral hygiene skills, together with ...
Helena Dujic, Katrin Heck, Julia Schwärzler, Cristiane da Mata, Sayaka Tada, Falk Schwendicke   +5 more
wiley   +1 more source

Clinico-genomic nomograms for estimation of survival risk in metastatic castrate-resistant prostate cancer. [PDF]

JNCI Cancer Spectr
Kohli M, Shankar A, Lloyd J, Wang L, Huo X, Fadlullah MZ, Tan AC, Finkelstein J.   +7 more
europepmc   +1 more source

Optimizing Perioperative Management of Haemophilia B With rFIX‐FP: Pharmacokinetic Validation of the Hemoptidose Tool

Haemophilia, EarlyView.
Abstract Background Surgical management of haemophilia B requires precise factor IX replacement to ensure adequate haemostasis while optimizing factor consumption. Extended half‐life rFIX‐FP simplifies perioperative management but exhibits substantial pharmacokinetic variability.
Xavier Delavenne, Célia Vollard, Nicolas Drillaud, Sabine Castet, Nicolas Luyck, Emilie Hénin, Julien Denis‐Le Seve, Fabienne Volot, Brigitte Tardy, Stéphanie Désage, Benoît Guillet   +10 more
wiley   +1 more source

Construction of nomograms for predicting overall survival and progression-free survival in patients with high-grade serous ovarian carcinoma: a retrospective study. [PDF]

PeerJ
Shan Y, Song K, Shan Z, Han F, Li L, Chu H.   +5 more
europepmc   +1 more source