Results 21 to 30 of about 2,497,925 (305)

Classification tables for age group prediction.

, 2021
This table depicts the average accuracy, F1, Precision, and Recall scores for classifying samples into their age groups. The data contained in these tables represents average scores across 1000 iterations of training/testing predictions.
Elizabeth M. McNeill (8592222), Simon M. Moe (11261424), Andrew K. Bolstad (11261427), Joe L. Webb (9596478)   +3 more
core   +1 more source

Cardiovascular Risk Prediction and Periodontitis in Patients with Acute Coronary Syndrome, Holguín 2020

Revista Cubana de Estomatología, 2023
Introduction: Prediction of cardiovascular risk favors prevention of cardiovascular events. Objective: To estimate cardiovascular risk and determine the periodontal condition of patients with acute coronary syndrome.
Maricelys Leonor Martínez Pérez, Jacqueline Medrano Montero, Luis Enrique Almaguer Mederos   +2 more
doaj  

Data on differential multivariable risk prediction of appropriate shock vs. competing mortality

Data in Brief, 2018
This data article features supplementary figures and tables related to the article “Differential Multivariable risk prediction of appropriate shock vs.
Leonard Bergau, Rik Willems, David J. Sprenkeler, Thomas H. Fischer, Panayota Flevari, Gerd Hasenfuß, Dimitrios Katsaras, Aleksandra Kirova, Stephan E. Lehnart, Lars Lüthje, Christian Röver, Joachim Seegers, Samuel Sossalla, Albert Dunnink, Rajevaa Sritharan, Anton E. Tuinenburg, Bert Vandenberk, Marc A. Vos, Sofieke C. Wijers, Tim Friede, Markus Zabel   +20 more
doaj   +1 more source

Neural Network Used for the Fusion of Predictions Obtained by the K-Nearest Neighbors Algorithm Based on Independent Data Sources

Entropy, 2021
The article concerns the problem of classification based on independent data sets—local decision tables. The aim of the paper is to propose a classification model for dispersed data using a modified k-nearest neighbors algorithm and a neural network.
Małgorzata Przybyła-Kasperek, Kwabena Frimpong Marfo   +1 more
doaj   +1 more source

CHARMS and PROBAST at your fingertips: a template for data extraction and risk of bias assessment in systematic reviews of predictive models

BMC Medical Research Methodology, 2023
Background Systematic reviews of studies of clinical prediction models are becoming increasingly abundant in the literature. Data extraction and risk of bias assessment are critical steps in any systematic review.
Borja M. Fernandez-Felix, Jesus López-Alcalde, Marta Roqué, Alfonso Muriel, Javier Zamora   +4 more
doaj   +1 more source

Tables for predicting survival for preterm births are updated

BMJ, 2003
EDITOR—In 1999 we described mortality patterns among preterm neonates born to mothers resident in the former Trent health region.1 The published predicted survival charts specific for birth weight and gestational age used data on all European and Asian live …
Draper, ES, Manktelow, B, Field, DJ, James, D   +3 more
openaire   +4 more sources

Applicability of a novel mathematical model for the prediction of adult height and age at menarche in girls with idiopathic central precocious puberty

Clinics, 2018
OBJECTIVES: Unfavorable predicted adult height and psychosocial inadequacy represent parameters used to guide therapeutic intervention in girls with central precocious puberty. Gonadotropin-releasing hormone analog is the first-line treatment. The aim of
Mateus Cavarzan Lopes, Carolina Oliveira Ramos, Ana Claudia Latronico, Berenice B. Mendonça, Vinicius N. Brito   +4 more
doaj   +1 more source

Long-Term Groundwater Level Prediction Model Based on Hybrid KNN-RF Technique

Hydrology, 2020
Reliable seasonal prediction of groundwater levels is not always possible when the quality and the amount of available on-site groundwater data are limited.
Omar Haji Kombo, Santhi Kumaran, Yahya H. Sheikh, Alastair Bovim, Kayalvizhi Jayavel   +4 more
doaj   +1 more source

Appendix D. Terminal node information tables, misclassification by class of the response variable tables, and prediction success classification and probability tables.

, 2016
Terminal node information tables, misclassification by class of the response variable tables, and prediction success classification and probability ...
Petr Pyšek (124962), Vojtěch Jarošík (124959), Martin Křivánek (2917556)   +2 more
core   +1 more source

CARDIOVASCULAR RISK OF STAFF AT A HEALTH CARE CENTER: WORLD HEALTH ORGANIZATION OR FRAMINGHAM?

Revista de la Sociedad Argentina de Diabetes, 2018
Introduction: the evolution of the determinants of chronic noncommunicable diseases predicts an increase in their incidence and prevalence. This would condition greater morbidity and mortality, generating a growing need to use resources of the health ...
Guillermo González, Diego Olivares
doaj   +1 more source