Feature Selection, Ranking of Each Feature and Classification for the Diagnosis of Community Acquired Legionella Pneumonia

Diagnosis of community acquired legionella pneumonia (CALP) is currently performed by means of laboratory techniques which may delay diagnosis several hours. To determine whether ANN can categorize CALP and non-legionella community-acquired pneumonia (NLCAP) and be standard for use by clinicians, we prospectively studied 203 patients with community-acquired pneumonia (CAP) diagnosed by laboratory tests. Twenty one clinical and analytical variables were recorded to train a neural net with two classes (LCAP or NLCAP class). In this paper we deal with the problem of diagnosis, feature selection, and ranking of the features as a function of their classification importance, and the design of a classifier the criteria of maximizing the ROC (Receiving operating characteristics) area, which gives a good trade-off between true positives and false negatives. In order to guarantee the validity of the statistics; the train-validation-test databases were rotated by the jackknife technique, and a multistarting procedure was done in order to make the system insensitive to local maxima.

Social factors related to the clinical severity of influenza cases in Spain during the A(H1N1)2009 virus pandemic

Background During the 2009 influenza pandemic, a change in the type of patients most often affected by influenza was observed. The objective of this study was to assess the role of individual and social determinants in hospitalizations due to influenza A (H1N1) 2009 infection. Methods We studied hospitalized patients (cases) and outpatients (controls) with confirmed influenza A (H1N1) 2009 infection. A standardized questionnaire was used to collect data. Variables that might be related to the hospitalization of influenza cases were compared by estimation of the odds ratio (OR) and 95% confidence intervals (CI) and the variables entered into binomial logistic regression models. Results Hospitalization due to pandemic A (H1N1) 2009 influenza virus infections was associated with non-Caucasian ethnicity (OR: 2.18, 95% CI 1.17 − 4.08), overcrowding (OR: 2.84, 95% CI 1.20 − 6.72), comorbidity and the lack of previous preventive information (OR: 2.69, 95% CI: 1.50 − 4.83). Secondary or higher education was associated with a lower risk of hospitalization (OR 0.56, 95% CI: 0.36 − 0.87) Conclusions In addition to individual factors such as comorbidity, other factors such as educational level, ethnicity or overcrowding were associated with hospitalization due to A (H1N1) 2009 influenza virus infections.

Discrete distributions when modeling the disability severity score of motor victims

Many European states apply score systems to evaluate the disability severity of non-fatal motor victims under the law of third-party liability. The score is a non-negative integer with an upper bound at 100 that increases with severity. It may be automatically converted into financial terms and thus also reflects the compensation cost for disability. In this paper, discrete regression models are applied to analyze the factors that influence the disability severity score of victims. Standard and zero-altered regression models are compared from two perspectives: an interpretation of the data generating process and the level of statistical fit. The results have implications for traffic safety policy decisions aimed at reducing accident severity. An application using data from Spain is provided.

A prospective cohort study of healthcare visits and rehospitalizations after hospital discharge in community-acquired pneumonia

Background and objective: We aimed to identify the frequency of, reasons for and risk factors associated with additional healthcare visits and rehospitalizations (healthcare interactions) by patients with community-acquired pneumonia (CAP) within 30 days of hospital discharge. Methods: Observational analysis of a prospective cohort of adults hospitalized with CAP at a tertiary hospital (2007-2009). Additional healthcare interactions were defined as the visits to a primary care centre or emergency department and hospital readmissions within 30 days of discharge. Results: Of the 934 hospitalized patients with CAP, 282 (34.1%) had additional healthcare interactions within 30 days of hospital discharge: 149 (52.8%) needed an additional visit to their primary care centre and 177 (62.8%) attended the emergency department. Seventy-two (25.5%) patients were readmitted to hospital. The main reasons for additional healthcare interactions were worsening of signs or symptoms of CAP and new or worsening comorbid conditions independent of pneumonia, mainly cardiovascular and pulmonary diseases. The only independent factor associated with visits to primary care centre or emergency department was alcohol abuse (odds ratio [OR] = 1.65; 95% confidence interval [CI]: 1.03-2.64). Prior hospitalization (≤ 90 days) (OR = 2.47; 95% CI: 1.11-5.52) and comorbidities (OR = 3.99; 95% CI: 1.12-14.23) were independently associated with rehospitalization. Conclusions: Additional healthcare visits and rehospitalizations within 30 days of hospital discharge are common in patients with CAP. This is mainly due to a worsening of signs or symptoms of CAP and/or comorbid conditions. These findings may have implications for discharge planning and follow-up of patients with CAP.

A prospective cohort study of healthcare visits and rehospitalizations after hospital discharge in community-acquired pneumonia

Background and objective: We aimed to identify the frequency of, reasons for and risk factors associated with additional healthcare visits and rehospitalizations (healthcare interactions) by patients with community-acquired pneumonia (CAP) within 30 days of hospital discharge. Methods: Observational analysis of a prospective cohort of adults hospitalized with CAP at a tertiary hospital (2007-2009). Additional healthcare interactions were defined as the visits to a primary care centre or emergency department and hospital readmissions within 30 days of discharge. Results: Of the 934 hospitalized patients with CAP, 282 (34.1%) had additional healthcare interactions within 30 days of hospital discharge: 149 (52.8%) needed an additional visit to their primary care centre and 177 (62.8%) attended the emergency department. Seventy-two (25.5%) patients were readmitted to hospital. The main reasons for additional healthcare interactions were worsening of signs or symptoms of CAP and new or worsening comorbid conditions independent of pneumonia, mainly cardiovascular and pulmonary diseases. The only independent factor associated with visits to primary care centre or emergency department was alcohol abuse (odds ratio [OR] = 1.65; 95% confidence interval [CI]: 1.03-2.64). Prior hospitalization (≤ 90 days) (OR = 2.47; 95% CI: 1.11-5.52) and comorbidities (OR = 3.99; 95% CI: 1.12-14.23) were independently associated with rehospitalization. Conclusions: Additional healthcare visits and rehospitalizations within 30 days of hospital discharge are common in patients with CAP. This is mainly due to a worsening of signs or symptoms of CAP and/or comorbid conditions. These findings may have implications for discharge planning and follow-up of patients with CAP.

A prospective cohort study of healthcare visits and rehospitalizations after hospital discharge in community-acquired pneumonia

Background and objective: We aimed to identify the frequency of, reasons for and risk factors associated with additional healthcare visits and rehospitalizations (healthcare interactions) by patients with community-acquired pneumonia (CAP) within 30 days of hospital discharge. Methods: Observational analysis of a prospective cohort of adults hospitalized with CAP at a tertiary hospital (2007-2009). Additional healthcare interactions were defined as the visits to a primary care centre or emergency department and hospital readmissions within 30 days of discharge. Results: Of the 934 hospitalized patients with CAP, 282 (34.1%) had additional healthcare interactions within 30 days of hospital discharge: 149 (52.8%) needed an additional visit to their primary care centre and 177 (62.8%) attended the emergency department. Seventy-two (25.5%) patients were readmitted to hospital. The main reasons for additional healthcare interactions were worsening of signs or symptoms of CAP and new or worsening comorbid conditions independent of pneumonia, mainly cardiovascular and pulmonary diseases. The only independent factor associated with visits to primary care centre or emergency department was alcohol abuse (odds ratio [OR] = 1.65; 95% confidence interval [CI]: 1.03-2.64). Prior hospitalization (≤ 90 days) (OR = 2.47; 95% CI: 1.11-5.52) and comorbidities (OR = 3.99; 95% CI: 1.12-14.23) were independently associated with rehospitalization. Conclusions: Additional healthcare visits and rehospitalizations within 30 days of hospital discharge are common in patients with CAP. This is mainly due to a worsening of signs or symptoms of CAP and/or comorbid conditions. These findings may have implications for discharge planning and follow-up of patients with CAP.

Modelling the disability severity score in motor insurance claims: an application to the Spanish case

Bodily injury claims have the greatest impact on the claim costs of motor insurance companies. The disability severity of motor claims is assessed in numerous European countries by means of score systems. In this paper a zero inflated generalized Poisson regression model is implemented to estimate the disability severity score of victims in-volved in motor accidents on Spanish roads. We show that the injury severity estimates may be automatically converted into financial terms by insurers at any point of the claim handling process. As such, the methodology described may be used by motor insurers operating in the Spanish market to monitor the size of bodily injury claims. By using insurance data, various applications are presented in which the score estimate of disability severity is of value to insurers, either for computing the claim compensation or for claim reserve purposes.