Search results for "Logistic"

P046 Occupational exposures and gastric cancer risk in the MCC-spain case-control study

2016

Objective To explore the relationship between gastric cancer (GC) and occupational exposures. Methods A total of 382 incident GC cases and 2,846 randomly selected population controls with occupational information were included from the MCC-Spain study, a population-based multicase-control study. Occupation was coded according to the Spanish National Classification of Occupations 1994. Occupational exposures were assessed by the MatEmEsp Job Exposure Matrix. ORs and their 95% confidence intervals (CI) were estimated by unconditional logistic regression adjusting for matching variables and education. Results In men, a statistically significant increased risk of GC, was found for ‘Employed ski…

2021

The study aims were to 1) examine profiles of perception of motor competence (PMC) in relation to actual motor competence (AMC), i.e. under-estimators (UEs), realistic estimators (REs) and over-estimators (OEs) and 2) investigate associations between the profiles and selected socioecological factors at the individual, family and environmental levels. PMC (Pictorial Scale of Perceived Movement Skill Competence) and AMC (Test of Gross Motor Development-Third Edition) were administered to a representative sample of children from 37 childcare centres in Finland (n=441;6.2±0.6yrs;52% boys). Socioecological factors were investigated using a parental questionnaire. The three profiles were formed b…

Musculoskeletal pain and use of analgesics in relation to mobility limitation among community-dwelling persons aged 75 years and older

2012

Pain and factors related to it constitute serious health problems in the older population. This populationbased cross-sectional study aimed to investigate whether musculoskeletal pain is associated with mobility limitation and whether the relationship between pain and mobility limitation varies according to the use of analgesics among community-dwelling older people. A total of 622 community-dwelling participants aged 75 years and older (mean age 80.4, 74% women) were interviewed about presence and severity of musculoskeletal pain. Self-reported analgesic drug utilization was verified against medical records. Mobility limitation was assessed by the Timed Up & Go test (TUG) time of >13.5 s o…

Mathematical modelling of social obesity epidemic in the region of Valencia, Spain

2010

In this article, we analyse the incidence of excess weight in 24- to 65-year-old residents in the region of Valencia, Spain, and predict its behaviour in the coming years. In addition, we present some possible strategies to prevent the spread of the obesity epidemic. We use classical logistic regression analysis to find out that a sedentary lifestyle and unhealthy nutritional habits are the most important causes of obesity in the 24- to 65-year-old population in Valencia. We propose a new mathematical model of epidemiological type to predict the incidence of excess weight in this population in the coming years. Based on the mathematical model sensitivity analysis, some possible general stra…

Challenges in the Transition from In-Patient to Out-Patient Treatment in Depression

2020

Background Few data are available on the characteristics of inpatient treatment and subsequent outpatient treatment for depression in Germany. In this study, we aimed to characterize the inpatient and outpatient treatment phases, to determine the rates of readmission and mortality, and to identify risk factors. Methods We carried out a descriptive statistical analysis of routine administrative data from a large health-insurance carrier (BARMER). All insurees aged 18 to 65 who were treated in 2015 as inpatients on a psychiatry and psychotherapy service or on a psychosomatic medicine and psychotherapy service with a main diagnosis of depression were included in the analysis. Risk factors for …

POSITIONING LOGISTICS INTO THE STRUCTURAL ORGANISATION OF THE COMPANY

2011

A well-functioning logistics system for referral to the evolution of the enterprise contributes three main components, the development of which determines the development of the enterprise: management of the flows that are necessary in order to intensify trade in the market, management processes, whose task is to quickly respond to actions affecting the network structure in the enterprise , product management for its improvement, along with offering potential customers, more and higher quality services. The following article shows, in addition to the above three components, as positioning and smooth operation of all processes and elements of the logistics system, allows to correct its posit…

Toward the Development of Load Transfer Efficiency Evaluation of Rigid Pavements by a Rolling Wheel Deflectometer

2020

The jointed rigid pavement is currently evaluated by the Falling weight deflectometer which is rather slow for the testing of the jointed pavements. Continuous nondestructive evaluation of rigid pavements with a rolling wheel deflectometer can be used to measure the load transfer and is investigated. Load transfer is an important indicator of the rigid pavement&rsquo

Children and Parental Barriers to Active Commuting to School: A Comparison Study

2021

The main objectives of this study were: to compare the barriers to active commuting to and from school (ACS) between children and their parents separately for children and adolescents; and to analyze the association between ACS and the children’s and parents’ barriers. A total of 401 child–parent pairs, from Granada, Jaén, Toledo and Valencia, self-reported, separately, their mode of commuting to school and work, respectively, and the children’s barriers to ACS. T-tests and chi-square tests were used to analyze the differences by age for continuous and categorical variables, respectively. Binary logistic regressions were performed to study the association between ACS barriers of children an…

Comparison of feature importance measures as explanations for classification models

2021

AbstractExplainable artificial intelligence is an emerging research direction helping the user or developer of machine learning models understand why models behave the way they do. The most popular explanation technique is feature importance. However, there are several different approaches how feature importances are being measured, most notably global and local. In this study we compare different feature importance measures using both linear (logistic regression with L1 penalization) and non-linear (random forest) methods and local interpretable model-agnostic explanations on top of them. These methods are applied to two datasets from the medical domain, the openly available breast cancer …

Machine learning for mortality analysis in patients with COVID-19

2020

This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain). Survival analysis, logistic regression, and machine learning techniques (both supervised and unsupervised) are applied to carry out the analysis where the endpoint variable is the reason for hospital discharge (home or deceased). The different methods applied show the importance of variables such as age, O2 saturation at Emergency Rooms (ER), and whether the patient comes from a nursing home. In addition, biclustering is used to globally analyze the patient-drug dataset, extracting segments of patients. We highlight the validity of the classifiers developed to predict the mortality, reaching…