P1511MODELO PREDICTIVO DE SUPERVIVENCIA DE INTELIGENCIA ARTIFICIAL (BOSQUE ALEATORIO) EN HEMODIALISIS. DATOS DEL REGISTRO ANDALUSINA DE ENFERMEDADES RENALES. SICATA
Sign Up to like & getrecommendations! Published in 2020 at "Nephrology Dialysis Transplantation"
DOI: 10.1093/ndt/gfaa142.p1511
Abstract: Random Forest (RF) is an analytical technique of Artificial Intelligence (AI) that consists of an assembly of trees built by bootstrapping (resampling with replacement). In each node a subset of predictor variables is selected and… read more here.
Keywords: roc curve; regression; auc roc; multivariate ... See more keywords
Multi Visual Modality Fall Detection Dataset
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3211939
Abstract: Falls are one of the leading causes of injury-related deaths among the elderly worldwide. Effective detection of falls can reduce the risk of complications and injuries. Fall detection can be performed using wearable devices or… read more here.
Keywords: multi; modality; detection; auc roc ... See more keywords
Serum cytokines to predict systemic lupus erythematosus clinical and serological activity
Sign Up to like & getrecommendations! Published in 2022 at "Clinical and Translational Science"
DOI: 10.1111/cts.13283
Abstract: We aimed to explore the role of interleukin (IL)‐6, interferon‐gamma (IFNγ), IL‐10, and tumor necrosis factor (TNF) as predictors of systemic lupus erythematosus (SLE) clinical and serological activity, and their correlation with the treatment received.… read more here.
Keywords: serological activity; systemic lupus; activity; auc roc ... See more keywords
Prognostic performance of pancreatic stone protein in critically ill patients with sepsis.
Sign Up to like & getrecommendations! Published in 2019 at "Biomarkers in medicine"
DOI: 10.2217/bmm-2019-0174
Abstract: Aim: To assess the prognostic value for 28-day mortality of PSP in critically ill patients with sepsis. Material & methods: 122 consecutive patients with sepsis were enrolled in this study. Blood samples were collected on… read more here.
Keywords: auc roc; ill patients; critically ill; performance ... See more keywords
Comparison of the Finnish Diabetes Risk Score Model With the Metabolic Syndrome in a Shanghai Population
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Endocrinology"
DOI: 10.3389/fendo.2022.725314
Abstract: Aims This study aimed to compare the diagnostic accuracy of the metabolic syndrome with the Finnish Diabetes Risk Score (FINDRISC) to screen for type 2 diabetes mellitus (T2DM) in a Shanghai population. Methods Participants aged… read more here.
Keywords: shanghai population; metabolic syndrome; model; auc roc ... See more keywords
Machine-learning model predicting postoperative delirium in older patients using intraoperative frontal electroencephalographic signatures
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2022.911088
Abstract: Objective In older patients receiving general anesthesia, postoperative delirium (POD) is the most frequent form of cerebral dysfunction. Early identification of patients at higher risk to develop POD could provide the opportunity to adapt intraoperative… read more here.
Keywords: older patients; machine learning; clinical parameters; auc roc ... See more keywords