Search results for "PREDICTION"
showing 10 items of 511 documents
Kinetic analysis of functional images: The case for a practical approach to performance prediction
1999
We present the first parallel medical application for the analysis of dynamic positron emission tomography (PET) images together with a practical performance model. The parallel application may improve the diagnosis for a patient (e. g. in epilepsy surgery) because it enables the fast computation of parametric images on a pixed level as opposed to the traditionally used region of interest (ROI) approach which is applied to determine an average parametric value for a particular anatomic region of the brain. We derive the performance model from the application context and show its relation to abstract machine models. We demonstrate the accuracy of the model to predict the runtime of the appli…
Predicting mortality with cardiac troponins: recent insights from meta-analyses.
2019
Abstract The introduction of cardiac troponin (cTn) testing in clinical practice has been one of the most important breakthroughs that have occurred in the recent history of laboratory medicine. Although it is now uncontestable that cTn values are essential for diagnosing acute coronary syndrome (ACS), solid evidence is also emerging that assessment of either cardiac troponin I (cTnI) or T (cTnT) may provide valuable prognostic information in the general healthy population, as well as in patients with a vast array of cardiac and extra-cardiac diseases. We have hence performed a critical review of the scientific literature for identifying meta-analyses which have investigated the potential c…
Is neural network better than logistic regression in death prediction in patients after ST-segment elevation myocardial infarction?
2021
Background: There is a need to develop patient classification methods to adjust post-discharge care, improving survival after ST-segment elevation myocardial infarction (STEMI). Aims: The study aimed to determine whether a neural network (NN) is better than logistic regression (LR) in mortality prediction in STEMI patients. Material and methods: The study included patients from the Polish Registry of Acute Coronary Syndromes (PL-ACS). Patients with the first anterior STEMI treated with the primary percutaneous coronary intervention (pPCI) of the left anterior descending (LAD) artery between 2009 and 2015 and discharged alive were included in the study. Patients were randomly divided into th…
Is 're-calibration' of standard cardiovascular disease (CVD) risk algorithms the panacea to improved CVD risk prediction and prevention?
2018
This editorial refers to ‘Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies’, by L. Pennells et al., doi:10.1093/eurheartj/ehy653.
Head-to-head comparison of contemporary heart failure risk scores.
2021
Altres ajuts: acords transformatius de la UAB Aims: Several heart failure (HF) web-based risk scores are currently used in clinical practice. Currently, we lack head-to-head comparison of the accuracy of risk scores. This study aimed to assess correlation and mortality prediction performance of Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC-HF) risk score, which includes clinical variables + medications; Seattle Heart Failure Model (SHFM), which includes clinical variables + treatments + analytes; PARADIGM Risk of Events and Death in the Contemporary Treatment of Heart Failure (PREDICT-HF) and Barcelona Bio-Heart Failure (BCN-Bio-HF) risk calculator, which also include biomarke…
Colorectal cancer health services research study protocol: the CCR-CARESS observational prospective cohort project
2016
The REDISSEC CARESS-CCR (Results and Health Services Research in Colorectal Cancer)- group: Jose María Quintana, Marisa Baré, Maximino Redondo, Eduardo Briones, Nerea Fernández de Larrea, Cristina Sarasqueta, Antonio Escobar, Francisco Rivas, Maria M. Morales-Suárez, Juan Antonio Blasco, Isabel del Cura, Inmaculada Arostegui, Amaia Bilbao, Nerea González, Susana García-Gutiérrez, Iratxe Lafuente, Urko Aguirre, Miren Orive, Josune Martin, Ane Antón-Ladislao, Núria Torà, Marina Pont, María Purificación Martínez del Prado, Alberto Loizate, Ignacio Zabalza, José Errasti, Antonio Z Gimeno, Santiago Lázaro, Mercè Comas, Jose María Enríquez, Carlos Placer, Amaia Perales, Iñaki Urkidi, Jose María E…
Diabetes Antibody Standardization Program: evaluation of assays for autoantibodies to glutamic acid decarboxylase and islet antigen-2
2008
Aims/hypothesis Islet autoantibodies are important in diabetes classification and risk assessment, and as endpoints in observational studies. The Diabetes Autoantibody Standardization Program (DASP) aims to improve and standardise measurement of autoantibodies associated with type 1 diabetes. We report results for glutamic acid decarboxylase autoantibodies (GADA) and islet antigen-2 autoantibodies (IA-2A) from three DASP workshops (2002–2005). Methods Up to 60 laboratories in 18 countries participated in each workshop. Participants received coded serum aliquots from 50 patients with newly diagnosed type 1 diabetes (median age 18 years, range 9–35 years) and 100 blood donor controls. Results…
Stress cardiac magnetic resonance for mortality prediction and decision-making: registry of 2496 elderly patients with chronic coronary syndrome
2022
Abstract Introduction and objectives The management of elderly patients with chronic coronary syndrome (CCS) is challenging. We explored the prognostic value and usefulness for decision-making of ischemic burden determined by vasodilator stress cardiac magnetic resonance (CMR) imaging in elderly patients with known or suspected CCS. Methods The study group comprised 2496 patients older than 70 years who underwent vasodilator stress CMR for known or suspected CCS. The ischemic burden (number of segments with stress-induced perfusion deficit) was calculated following the 17-segment model. Subsequently, we retrospectively analyzed its association with all-cause mortality and the effect of CMR-…
A novel heuristic algorithm for the modeling and risk assessment of the COVID-19 pandemic phenomenon
2020
This article belongs to the special issue: Soft computing techniques in materials science and engineering Summarization: The modeling and risk assessment of a pandemic phenomenon such as COVID-19 is an important and complicated issue in epidemiology, and such an attempt is of great interest for public health decision-making. To this end, in the present study, based on a recent heuristic algorithm proposed by the authors, the time evolution of COVID-19 is investigated for six different countries/states, namely New York, California, USA, Iran, Sweden and UK. The number of COVID-19-related deaths is used to develop the proposed heuristic model as it is believed that the predicted number of dai…
Long-term prediction of birth weight
1993
On the basis of the hypothesis that undisturbed individual growth in fetal life keeps a constant proportional difference with the standard population 50th percentile, birth weight can be predicted with a single sonographic exploration after the 16th week of pregnancy. Data on 135 singleton pregnancies with accurate dates and delivery at term were used. Sonography was performed between the 17th and 36th weeks of pregnancy, in every case at least 4 weeks before delivery. The observed measurements of BPD, FL, and AC were used for the prediction of their values on the day of delivery, applying the Hadlock equation for the estimation of birth weight. The mean error of birth weight predictions wa…