Christophe Chesneau
Biographic Data
| ID | 4290391 |
|---|---|
| NAME | Christophe Chesneau |
| GIVEN NAMES | Christophe |
| FAMILY NAME | Chesneau |
| SIGNATURE | CHESNEAU C |
| AFFILIATIONS | Université de Caen Normandie |
| ORCID | 0000-0002-1522-9292 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Alcohol and social drinking norms as a catalyst between tourist motivation and tourist satisfaction
Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children
Malnutrition among children is an important public health problem in Pakistan. Conventional indicators (stunting, wasting and underweight) are well known. However, there is a need for aggregate indicators in this perspective. The goal of this study is to assess the prevalence and trends of malnutrition among Pakistani children under the age of five using the so-called composite index of anthropometric failure (CIAF), a tool for calculating the wh…
Pre-Emptive and Non-Pre-Emptive Goal Programming Problems for Optimal Menu Planning in Diet Management of Indian Diabetes Mellitus Patients
Diet management or caloric restriction for diabetes mellitus patients is essential in order to reduce the disease's burden. Mathematical programming problems can help in this regard; they have a central role in optimal diet management and in the nutritional balance of food recipes. The present study employed linear optimization models such as linear, pre-emptive, and non-pre-emptive goal programming problems (LPP, PGP and NPGP) to minimize the de…
Development of Nonlaboratory-Based Risk Prediction Models for Cardiovascular Diseases Using Conventional and Machine Learning Approaches
Criticism of the implementation of existing risk prediction models (RPMs) for cardiovascular diseases (CVDs) in new populations motivates researchers to develop regional models. The predominant usage of laboratory features in these RPMs is also causing reproducibility issues in low-middle-income countries (LMICs). Further, conventional logistic regression analysis (LRA) does not consider non-linear associations and interaction terms in developing…
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Prevalence and Potential Determinants of Aggregate Anthropometric Failure among Pakistani Children
Malnutrition among children is an important public health problem in Pakistan. Conventional indicators (stunting, wasting and underweight) are well known. However, there is a need for aggregate indicators in this perspective. The goal of this study is to assess the prevalence and trends of malnutrition among Pakistani children under the age of five using the so-called composite index of anthropometric failure (CIAF), a tool for calculating the wh…
Pre-Emptive and Non-Pre-Emptive Goal Programming Problems for Optimal Menu Planning in Diet Management of Indian Diabetes Mellitus Patients
Diet management or caloric restriction for diabetes mellitus patients is essential in order to reduce the disease's burden. Mathematical programming problems can help in this regard; they have a central role in optimal diet management and in the nutritional balance of food recipes. The present study employed linear optimization models such as linear, pre-emptive, and non-pre-emptive goal programming problems (LPP, PGP and NPGP) to minimize the de…
Development of Nonlaboratory-Based Risk Prediction Models for Cardiovascular Diseases Using Conventional and Machine Learning Approaches
Criticism of the implementation of existing risk prediction models (RPMs) for cardiovascular diseases (CVDs) in new populations motivates researchers to develop regional models. The predominant usage of laboratory features in these RPMs is also causing reproducibility issues in low-middle-income countries (LMICs). Further, conventional logistic regression analysis (LRA) does not consider non-linear associations and interaction terms in developing…
Alcohol and social drinking norms as a catalyst between tourist motivation and tourist satisfaction
Medicine (4 works) · Business (2 works) · Computer Science (2 works) · Environmental health (2 works) · Internal Medicine (2 works) · Logistic regression (2 works) · Population (2 works) · Advertising (1 work) · Anthropometry (1 work) · Artificial Intelligence (1 work)