Establishing a model for predicting the outcome of COVID-19 based on combination of laboratory tests
Sign Up to like & getrecommendations! Published in 2020 at "Travel Medicine and Infectious Disease"
DOI: 10.1016/j.tmaid.2020.101782
Abstract: Introduction There are currently no satisfactory methods for predicting the outcome of Coronavirus Disease-2019 (COVID-19). The aim of this study is to establish a model for predicting the prognosis of the disease. Methods The laboratory… read more here.
Keywords: covid patients; predicting outcome; based combination; covid ... See more keywords
Predicting the outcome of professional darts tournaments
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Performance Analysis in Sport"
DOI: 10.1080/24748668.2017.1372162
Abstract: Abstract Sports statistics are one of the oldest applications of data analysis techniques in order to visualize and understand the outcome of sports events. One particularly interesting application is the analysis of darts data as… read more here.
Keywords: order; predicting outcome; analysis; professional darts ... See more keywords
MHCI and FOXP3 predicting outcome to neoadjuvant atezolizumab in sequential urothelial cancer tissue.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2020.38.6_suppl.541
Abstract: 541Background: Biomarker analysis predicting outcome with neoadjuvant atezolizumab in muscle invasive bladder cancer (MIBC) was performed. This includes previously unreported findings with FOXP3 an... read more here.
Keywords: predicting outcome; outcome neoadjuvant; neoadjuvant atezolizumab; mhci foxp3 ... See more keywords
Predicting Outcome in Patients with Brain Injury: Differences between Machine Learning versus Conventional Statistics
Sign Up to like & getrecommendations! Published in 2022 at "Biomedicines"
DOI: 10.3390/biomedicines10092267
Abstract: Defining reliable tools for early prediction of outcome is the main target for physicians to guide care decisions in patients with brain injury. The application of machine learning (ML) is rapidly increasing in this field… read more here.
Keywords: patients brain; brain; machine learning; predicting outcome ... See more keywords
Multivariate Prognostic Model for Predicting the Outcome of Critically Ill Patients Using the Aromatic Metabolites Detected by Gas Chromatography-Mass Spectrometry
Sign Up to like & getrecommendations! Published in 2022 at "Molecules"
DOI: 10.3390/molecules27154784
Abstract: A number of aromatic metabolites of tyrosine and phenylalanine have been investigated as new perspective markers of infectious complications in the critically ill patients of intensive care units (ICUs). The goal of our research was… read more here.
Keywords: ill patients; critically ill; aromatic metabolites; outcome critically ... See more keywords
Role of inflammatory markers and their trends in predicting the outcome of medical expulsive therapy for distal ureteric calculus
Sign Up to like & getrecommendations! Published in 2022 at "Urology Annals"
DOI: 10.4103/ua.ua_139_21
Abstract: Objective: Symptomatic ureteric stones cause surrounding inflammation-promoting obstruction. C-reactive protein (CRP), white blood cell count (WC), and neutrophil percentage (NP) tend to rise after inflammatory response. Monitoring response during the course of medical expulsive therapy… read more here.
Keywords: medical expulsive; stone; role; expulsive therapy ... See more keywords