Comprehensive assessment of nutritional status and nutritional-related complications in newly diagnosed esophageal cancer patients: A cross-sectional study.

Background & Aims: Malnutrition is prevalent in upper gastrointestinal cancer patients. The purpose of this study was a comprehensive assessment of nutritional status in newly diagnosed patients with esophageal cancer.

Methods: Newly diagnosed esophageal cancer patients were referred to a chemo-radiation referral center in Mashhad, Iran, between February 2017 to February 2019.

Towards automatic detection of atrial fibrillation: A hybrid computational approach.

In this study, new methods coupling genetic programming with orthogonal least squares (GP/OLS) and simulated annealing (GP/SA) were applied to the detection of atrial fibrillation (AF) episodes. Empirical equations were obtained to classify the samples of AF and Normal episodes based on the analysis of RR interval signals. Another important contribution of this paper was to identify the effective time domain features of heart rate variability (HRV) signals via an improved forward floating selection analysis.