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Construction and Update of an Online ensemble Score Involving Linear discriminant Analysis and Logistic Regression

Applied Mathematics 2022年第2期13卷 228-242页

作者： Benoî t Lalloué Jean-Marie Monnez Eliane Albuisson IECL (Institut Elie Cartan de Lorraine) Inria (Project-Team BIGS) Centre National de la Recherche Scientifique (CNRS) Université de Lorraine Nancy France Inserm U1116 Centre d’Investigation Clinique Plurithématique 1433 Université de Lorraine Nancy France IECL (Institut Elie Cartan de Lorraine) Centre National de la Recherche Scientifique (CNRS) Université de Lorraine Nancy France délégation à la recherche Clinique et à l’Innovation(dRCI) CHRU de Nancy Vand&#339 uvre-lès-Nancy France département grand-est de recherche en soins primaires Faculté de Médecine Vand&#339 uvre-lès-Nancy France

The present aim is to update, upon arrival of new learning data, the parameters of a score constructed with an ensemble method involving linear discriminant analysis and logistic regression in an online setting, without the need to store all of the previously obtained data. Poisson bootstrap and stochastic approximation processes were used with online standardized data to avoid numerical explosions, the convergence of which has been established theoretically. This empirical convergence of online ensemble scores to a reference “batch” score was studied on five different datasets from which data streams were simulated, comparing six different processes to construct the online scores. For each score, 50 replications using a total of 10N observations (N being the size of the dataset) were performed to assess the convergence and the stability of the method, computing the mean and standard deviation of a convergence criterion. A complementary study using 100N observations was also performed. All tested processes on all datasets converged after N iterations, except for one process on one dataset. The best processes were averaged processes using online standardized data and a piecewise constant step-size.

关键词： Learning for Big data Stochastic Approximation Medicine ensemble Method Online Score

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Family Planning: Choosing Contraceptive Methods in Kongo Central Province, the democratic Republic of the Congo

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Open Journal of Obstetrics and Gynecology 2023年第2期13卷 372-382页

作者： Matondo Luzunga Guy Roger Lukanu Ngwala Philippe Ngoma Miezi Kintaudi Minuku Kinzonzi Felix Kalonji Ntumba Albert Nsiala Kumbu Adrien Muaka Nsakala Jim Lisa Mahoya Mangondo soins de Santé primaires en Milieu Rural Kinshasa DR Congo Family Medicine department School of Medicine Protestant University of Congo Kinshasa DR Congo

Background: In developing countries, access to modern contraceptive methods remains a concern, particularly in Sub-Saharan Africa (SSA). Although satisfactory progress in increasing family planning use has been observed worldwide, demand and unmet need continue to grow. This study describes the different reasons that push women in rural and urban areas of Kongo Central province in the democratic Republic of Congo (dRC) to choose one of the modern contraceptive methods. Methods: A cross-sectional, analytical study on the 705 clients recruited during the family planning mini-campaigns organized from January to March 2021 in 8 health zones of the Kongo Central Province in dRC. Community Contraceptive Methods distributors (CCMd) collected the data, community health workers (CHW) trained in clinical providers’ community family planning service. The Pearson’s Chi2 test was used to compare the proportions of the methods chosen in the different study variables categories, and logistic regression was done to analyze the strength of association between the uses of long-acting reversible contraceptives (LARC) with the study variables. Results: The mean age (Sd) of the clients was 25.7 years. The median number of living children was 2 children and that of pregnancies carried per client was 3. Three (3) clients under the age of 20 out of 126 (2.4%) have 3 to 4 living children and one a up to 6 living children. Out of a total of 705 clients, 11.1% aged under 20 and 39.1% of clients aged 20 to 24 requested LARC. divorced and unmarried women chose SAC and married and common-law women chose LARC more, compared to other categories of women. Unemployed women prefer SACs more than other professional categories, and women farmers prefer LARC. The level of education has no influence on the choice of method. The use of LARC increased with the number of pregnancies carried, children alive, and children who died. The age and number of children who died did not influence the assoc

关键词： Choice Clients Contraceptive

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Construction of Parsimonious Event Risk Scores by an ensemble Method. An Illustration for Short-Term Predictions in Chronic Heart Failure Patients from the GISSI-HF Trial

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Applied Mathematics 2021年第7期12卷 627-653页

作者： Benoî t Lalloué Jean-Marie Monnez donata Lucci Eliane Albuisson Université de Lorraine CNRS Inria (Project-Team BIGS) IECL (Institut Elie Cartan de Lorraine) Nancy France Inserm U1116 Centre d’Investigation Clinique Plurithématique 1433 Université de Lorraine Nancy France ANMCO Research Center Florence Italy Université de Lorraine CNRS IECL (Institut Elie Cartan de Lorraine) Nancy France dRCI CHRU de Nancy Vand&#339 uvre-lès-Nancy France Faculté de Médecine Département Grand Est de Recherche en Soins Primaires Vand&#339 uvre-lès-Nancy France

Selecting which explanatory variables to include in a given score is a common difficulty, as a balance must be found between statistical fit and practical application. This article presents a methodology for constructing parsimonious event risk scores combining a stepwise selection of variables with ensemble scores obtained by aggregation of several scores, using several classifiers, bootstrap samples and various modalities of random selection of variables. Selection methods based on a probabilistic model can be used to achieve a stepwise selection for a given classifier such as logistic regression, but not directly for an ensemble classifier constructed by aggregation of several classifiers. Three selection methods are proposed in this framework, two involving a backward selection of the variables based on their coefficients in an ensemble score and the third involving a forward selection of the variables maximizing the AUC. The stepwise selection allows constructing a succession of scores, with the practitioner able to choose which score best fits his needs. These three methods are compared in an application to construct parsimonious short-term event risk scores in chronic HF patients, using as event the composite endpoint of death or hospitalization for worsening HF within 180 days of a visit. Focusing on the fastest method, four scores are constructed, yielding out-of-bag AUCs ranging from 0.81 (26 variables) to 0.76 (2 variables).

关键词： ensemble Score ensemble Methods Scoring Variable Selection Heart Failure

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Purchase of Contraceptive Methods in Kongo Central Province, the democratic Republic of Congo: data from the Lelo Family Planning Mini-Campaign Survey

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Open Journal of Obstetrics and Gynecology 2021年第5期11卷 553-562页

作者： Guy R. Matondo Lisa Mahoya José Kiangebeni Aliocha Nkodila N. M. Kintaudi Felix K. Minuku Kalonji A. Ntumba Ngwala P. Lukanu soins de Santé primaires en Milieu Rural Kinshasa Congo Family Medicine department School of Medicine Protestant University of Congo Kinshasa Congo

Background and aim: Access to contraceptive methods remains low in the world in general and in Sub-Saharan Africa (SSA). data of these contraceptive methods in rural areas of the democratic Republic of Congo (dRC) rem... 详细信息

Background and aim: Access to contraceptive methods remains low in the world in general and in Sub-Saharan Africa (SSA). Data of these contraceptive methods in rural areas of the Democratic Republic of Congo (DRC) remain poorly known. The aim is to identify the socio-demographic characteristics of clients associated with purchasing contraceptives methods via different distribution system in Kongo Central province. Methods: Cross-sectional study including data from mini Lelo Family Planning contraceptive method distribution campaigns organized in 11 health zones of Kongo Central province, from January to March 2020 by community-based distributors (DBC), learner DBCs (DBCa), graduated DBCs (DBCg) and clinical providers (CP). Results: The median age of clients was 25 years old. A quarter of them were men and almost half of the clients were in a conjugal relationship and 46.5% were single. The majority (70.4%) had a high school education. The male condom was the most requested method during Lelo Family Planning, followed by implants. Natural methods remain the methods preferred by clients d single;modern methods by those aged > 25 ye

关键词： Profile Clients Prevalence Contraceptive

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