Conservatoire national des arts et métiers

About: Conservatoire national des arts et métiers is a education organization based out in Paris, France. It is known for research contribution in the topics: Population & Context (language use). The organization has 3573 authors who have published 7127 publications receiving 141430 citations. The organization is also known as: CNAM & Conservatoire des arts et métiers.

Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric.

Abstract: Data imbalance is frequently encountered in biomedical applications Resampling techniques can be used in binary classification to tackle this issue However such solutions are not desired when the number of samples in the small class is limited Moreover the use of inadequate performance metrics, such as accuracy, lead to poor generalization results because the classifiers tend to predict the largest size class One of the good approaches to deal with this issue is to optimize performance metrics that are designed to handle data imbalance Matthews Correlation Coefficient (MCC) is widely used in Bioinformatics as a performance metric We are interested in developing a new classifier based on the MCC metric to handle imbalanced data We derive an optimal Bayes classifier for the MCC metric using an approach based on Frechet derivative We show that the proposed algorithm has the nice theoretical property of consistency Using simulated data, we verify the correctness of our optimality result by searching in the space of all possible binary classifiers The proposed classifier is evaluated on 64 datasets from a wide range data imbalance We compare both classification performance and CPU efficiency for three classifiers: 1) the proposed algorithm (MCC-classifier), the Bayes classifier with a default threshold (MCC-base) and imbalanced SVM (SVM-imba) The experimental evaluation shows that MCC-classifier has a close performance to SVM-imba while being simpler and more efficient

Food Choices and Diet Costs: an Economic Analysis

Abstract: Obesity in the United States is a socioeconomic issue. It is related to limited social and economic resources and may be linked to disparities in access to healthy foods. Added sugars and added fats are far more affordable than are the recommended "healthful" diets based on lean meats, whole grains, and fresh vegetables and fruit. There is an inverse relationship between energy density of foods (kJ/g) and energy cost ($/MJ), such that energy-dense grains, fats, and sweets represent the lowest-cost dietary options to the consumer. Good taste, high convenience, and the low cost of energy-dense foods, in conjunction with large portions and low satiating power, may be the principal reasons for overeating and weight gain. Financial disparities in access to healthier diets may help explain why the highest rates of obesity and diabetes are found among minorities and the working poor. If so, then encouraging low-income households to consume more costly foods is not an effective strategy for public health. What is needed is a comprehensive policy approach that takes behavioral nutrition and the economics of food choice into account.

Age-specific mortality and immunity patterns of SARS-CoV-2.

Abstract: Estimating the size of the coronavirus disease 2019 (COVID-19) pandemic and the infection severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is made challenging by inconsistencies in the available data. The number of deaths associated with COVID-19 is often used as a key indicator for the size of the epidemic, but the observed number of deaths represents only a minority of all infections1,2. In addition, the heterogeneous burdens in nursing homes and the variable reporting of deaths of older individuals can hinder direct comparisons of mortality rates and the underlying levels of transmission across countries3. Here we use age-specific COVID-19-associated death data from 45 countries and the results of 22 seroprevalence studies to investigate the consistency of infection and fatality patterns across multiple countries. We find that the age distribution of deaths in younger age groups (less than 65 years of age) is very consistent across different settings and demonstrate how these data can provide robust estimates of the share of the population that has been infected. We estimate that the infection fatality ratio is lowest among 5-9-year-old children, with a log-linear increase by age among individuals older than 30 years. Population age structures and heterogeneous burdens in nursing homes explain some but not all of the heterogeneity between countries in infection fatality ratios. Among the 45 countries included in our analysis, we estimate that approximately 5% of these populations had been infected by 1 September 2020, and that much higher transmission rates have probably occurred in a number of Latin American countries. This simple modelling framework can help countries to assess the progression of the pandemic and can be applied in any scenario for which reliable age-specific death data are available.

APOL1 Genetic Variants in Focal Segmental Glomerulosclerosis and HIV-Associated Nephropathy

Abstract: Trypanolytic variants in APOL1, which encodes apolipoprotein L1, associate with kidney disease in African Americans, but whether APOL1-associated glomerular disease has a distinct clinical phenotype is unknown. Here we determined APOL1 genotypes for 271 African American cases, 168 European American cases, and 939 control subjects. In a recessive model, APOL1 variants conferred seventeenfold higher odds (95% CI 11 to 26) for focal segmental glomerulosclerosis (FSGS) and twenty-ninefold higher odds (95% CI 13 to 68) for HIV-associated nephropathy (HIVAN). FSGS associated with two APOL1 risk alleles associated with earlier age of onset (P 0.01) and faster progression to ESRD (P 0.01) but similar sensitivity to steroids compared with other subjects. Individuals with two APOL1 risk alleles have an estimated 4% lifetime risk for developing FSGS, and untreated HIVinfected individuals have a 50% risk for developing HIVAN. The effect of carrying two APOL1 risk alleles explains 18% of FSGS and 35% of HIVAN; alternatively, eliminating this effect would reduce FSGS and HIVAN by 67%. A survey of world populations indicated that the APOL1 kidney risk alleles are present only on African chromosomes. In summary, African Americans carrying two APOL1 risk alleles have a greatly increased risk for glomerular disease, and APOL1-associated FSGS occurs earlier and progresses to ESRD more rapidly. These data add to the evidence base required to determine whether genetic testing for APOL1 has a use in clinical practice.