Introduction: Allergic rhinitis and asthma can be related to occupation. The present study aimed to investigate the correlation between asthma or allergic rhinitis and employment in the palm tree gardens of Jahrom, Iran.   Materials and Methods: This was a cross-sectional study including 50 palm tree garden workers and a control group of 50 office employees. Data collection included demographic...

OBJECTIVES The ratio of observed to expected mortality (standardized mortality ratio, SMR), is a key indicator of quality of care. We use PreControl Charts to investigate SMR behavior over time of an existing tree-model for predicting mortality in intensive care units (ICUs) and its implications for hospital ranking. We compare the results to those of a logistic regression model. METHODS We c...

In this paper we propose a new two-level methodology for assessing countries’/companies’ economic/financial performance. The methodology is based on two major techniques of grouping data: cluster analysis and predictive classification models. First we use cluster analysis in terms of self-organizing maps to find possible clusters in data in terms of economic/financial performance. We then inter...

Objective: To determine the influencing factors for hospital cost of patients with spinal fractures using E-CHAID category tree, we performed this retrospective study. Patients and methods: The data on 2109 patients with spinal fractures in our hospital, including the comorbidity conditions, surgical and other clinical characteristics, were collected. After Pearson correlation test was performe...

Leaf area index (LAI) is an important biophysical trait for forest ecosystem and ecological modeling, as it plays a key role for the forest productivity and structural characteristics. The groundbased methods like the handheld optical instruments for predicting LAI are subjective, pricy and time-consuming. The advent of very high spatial resolutions multispectral data and robust machine learnin...