The international journal of biostatistics
May 1, 2016
Area Under the ROC Curve (AUC) is often used to measure the performance of an estimator in binary classification problems. An AUC-maximizing classifier can have significant advantages in cases where ranking correctness is valued or if the outcome is ...
PURPOSE: Given the paucity of available data concerning radiotherapy-induced urinary toxicity, it is important to ensure derivation of the most robust models with superior predictive performance. This work explores multiple statistical-learning strat...
Nearly 20% patients with stage II A colon cancer will develop recurrent disease post-operatively. The present study aims to develop a scoring system based on Artificial Neural Network (ANN) model for predicting 10-year survival outcome. The clinical ...
Journal of biological regulators and homeostatic agents
Jan 1, 2016
Neonatal septicemia (NS) is a common cause of death of newborn infants, hence early diagnosis and treatment are of the utmost importance. However, lack of specific clinical symptoms and late detection delay a correct diagnosis. It is therefore of gre...
OBJECTIVE: To explore the risk factors influencing the prognosis by analyzing clinical data of patients with acute paraquat intoxication, and to assess the prognostic values of acute physiology and chronic health evaluation II (APACHE II) score, sequ...
Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies
Nov 1, 2015
OBJECTIVES: To build and test cardiac arrest prediction models in a PICU, using time series analysis as input, and to measure changes in prediction accuracy attributable to different classes of time series data.
Protein-protein interaction (PPI) site prediction aids to ascertain the interface residues that participate in interaction processes. Fuzzy support vector machine (F-SVM) is proposed as an effective method to solve this problem, and we have shown tha...
OBJECTIVE: To assess the value of passive leg raising (PLR) test in predicting fluid responsiveness in patients with sepsis-induced cardiac dysfunction.
PURPOSE: Breast tissue composition is considered to be associated with breast cancer risk. This study aimed to develop a computer-aided classification (CAC) system to automatically classify echotexture patterns as heterogeneous or homogeneous using a...
PURPOSE: Detect and classify focal liver lesions (FLLs) from contrast-enhanced ultrasound (CEUS) imaging by means of an automated quantification algorithm.
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