Joint Modeling Approach on Evaluating Time-Dependent CutOff Values for C-Reactive Protein in Mixed Intensive Care Unit Population.

Background: Serial C-reactive protein (CRP) biomarker values are frequently recorded from patients in adult intensive care units (ICU). The aim of this study was to assess the time-dependent diagnostic accuracy of repeated CRP measurements in predicting ICU mortality and determine the time-dependent cutoff values for this biomarker in mixed ICU population.

Methods: Joint modeling was performed to model repeated CRP measurements and survival data.

MLSeq: Machine learning interface for RNA-sequencing data.

Background And Objective: In the last decade, RNA-sequencing technology has become method-of-choice and prefered to microarray technology for gene expression based classification and differential expression analysis since it produces less noisy data. Although there are many algorithms proposed for microarray data, the number of available algorithms and programs are limited for classification of RNA-sequencing data. For this reason, we developed MLSeq, to bring not only frequently used classification algorithms but also novel approaches together and make them available to be used for classification of RNA sequencing data.

A statistical approach to evaluate the performance of cardiac biomarkers in predicting death due to acute myocardial infarction: time-dependent ROC curve.

Background/aim: Myoglobin, cardiac troponin T, B-type natriuretic peptide (BNP), and creatine kinase isoenzyme MB (CK-MB) are frequently used biomarkers for evaluating risk of patients admitted to an emergency department with chest pain. Recently, time- dependent receiver operating characteristic (ROC) analysis has been used to evaluate the predictive power of biomarkers where disease status can change over time. We aimed to determine the best set of biomarkers that estimate cardiac death during follow-up time.

Health-Related Quality of Life in Early-Onset Scoliosis Patients Treated Surgically: EOSQ Scores in Traditional Growing Rod Versus Magnetically Controlled Growing Rods.

Study Design: Cross-sectional study.

Objective: To compare quality of life and caregiver burden in traditional growing rod (TGR) and magnetic controlled growing rods (MCGR) patients.

Summary Of Background Data: MCGR decrease surgical sessions associated with treatment of early onset scoliosis (EOS), hoping to minimize the burdens seen with repetitive invasive surgeries in TGR treatment.

Sequential test selection by quantifying of the reduction in diagnostic uncertainty for the diagnosis of proximal caries.

Background: In order to determine the presence or absence of a certain disease, multiple diagnostic tests may be necessary. Performance of these tests can be sequentially evaluated.

Aims: The aim of the study is to determine the contribution of the test in each step, in reducing diagnostic uncertainty when multiple tests are sequentially used for the diagnosis.