4.6 Article

Implications of rapid population growth on survey design and HIV estimates in the Rakai Community Cohort Study (RCCS), Uganda

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Construction & Building Technology

Super learner machine-learning algorithms for compressive strength prediction of high performance concrete

Seunghye Lee et al.

Summary: A method is proposed to accurately estimate the compressive strength of high-performance concrete using super learner models, which combine multiple regression methods. It achieves effective solutions to this complex problem and significantly improves the prediction accuracy.

STRUCTURAL CONCRETE (2023)

Article Biochemical Research Methods

MEvA-X: a hybrid multiobjective evolutionary tool using an XGBoost classifier for biomarkers discovery on biomedical datasets

Konstantinos Panagiotopoulos et al.

Summary: MEvA-X is a novel hybrid ensemble method that combines a niche-based multiobjective evolutionary algorithm with the XGBoost classifier for feature selection and classification. It optimizes the hyperparameters of the classifier and performs feature selection, identifying a set of Pareto-optimal solutions and optimizing multiple objectives.

BIOINFORMATICS (2023)

Article Health Care Sciences & Services

Evaluating robustness of a generalized linear model when applied to electronic health record data accessed using an Open API

Priya Sharma et al.

Summary: The ICEES provides open access to clinical and environmental data, but using the service for multivariate analysis may result in data loss.

HEALTH INFORMATICS JOURNAL (2023)

Article Respiratory System

Machine learning algorithm for early-stage prediction of severe morbidity in COVID-19 pneumonia patients based on bio-signals

Seung Min Baik et al.

Summary: This study develops a machine-learning algorithm based on bio-signals to predict the progression of COVID-19 infection from mild to severe three days in advance, aiming to identify and treat the disease early and allocate medical resources effectively.

BMC PULMONARY MEDICINE (2023)

Article Oncology

Development of ensemble learning models for prognosis of hepatocellular carcinoma patients underwent postoperative adjuvant transarterial chemoembolization

Yuxin Liang et al.

Summary: This study compared the prediction performance of five machine learning models and identified prognostic variables for postoperative outcomes. The results showed that the risk prediction model based on ensemble learning strategies had better performance in predicting overall mortality and HCC recurrence. Additionally, the study found that BCLC stage, hsCRP/ALB, and frequency of PA-TACE were relatively important variables in both overall mortality and recurrence, while MVI had a larger contribution to patient recurrence.

FRONTIERS IN ONCOLOGY (2023)

Article Cell Biology

A novel glycolysis-related gene signature for predicting the prognosis of multiple myeloma

Bingxin Zhang et al.

Summary: In this study, a glycolysis-related prognostic model for multiple myeloma (MM) was constructed and validated. The model showed good performance in differentiating between populations with different prognoses and proved to be an independent prognostic factor. The prognostic model was closely associated with multiple malignant features and treatment resistance, and a nomogram combining multiple metrics showed higher clinical benefit.

FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY (2023)

Article Environmental Sciences

The synergistic effect of climatic factors on malaria transmission: a predictive approach for northeastern states of India

Nikhila Yaladanda et al.

Summary: This study explores the epidemiological profile and quantifies the climate-induced influence on malaria in the northeast region of India. Monthly malaria cases and meteorological data were collected from Meghalaya and Tripura, and the nonlinear associations between meteorological factors and malaria cases were assessed. The study found that both individual climatic factors and synergistic effects can significantly increase the risk of malaria transmission.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

Article Multidisciplinary Sciences

Stacking Ensemble Learning-Based Wireless Sensor Network Deployment Parameter Estimation

Ayhan Akbas et al.

Summary: In wireless sensor network projects, it is important to accurately calculate variables like network lifetime, communication channel parameters, number of nodes, and distance between nodes. Machine learning models, such as Adaboost and stacked ensembles, can speed up parameter estimations and achieve highly accurate outcomes for WSN parameter prediction.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2023)

Article Multidisciplinary Sciences

Stacked-Based Ensemble Machine Learning Model for Positioning Footballer

Selim Buyrukoglu et al.

Summary: Due to the high performance of machine learning methods, they have been widely used in various sports fields, including football. However, there has been insufficient work on determining the position of football players, which is an important problem for coaches. This study employs a stacked ensemble machine learning model and Chi-square feature selection technique to classify footballer positions and achieves good results.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2023)

Article Immunology

Distinct forms of migration and mobility are differentially associated with HIV treatment adherence

Pamela M. Murnane et al.

Summary: This study examined the association between human mobility and antiretroviral treatment adherence. The results showed that short work-related trips were associated with higher levels of antiretroviral medication, while nonwork mobility was associated with lower levels. Intra-district migrations were associated with lower medication levels, whereas inter-district migrations were not. These findings suggest that adherence interventions may need to be tailored based on gender and forms of mobility.
Article Environmental Sciences

Correlation value determined to increase Salmonella prediction success of deep neural network for agricultural waters

Selim Buyrukoglu et al.

Summary: The use of computer-based tools in the field of produce safety is increasing, and various algorithms have been applied to predict microorganism and pathogen populations in agricultural water sources. This study aims to improve the prediction success of Salmonella using deep feed-forward neural networks and correlation values in agricultural surface waters. The findings highlight the importance of correlation values in predicting the presence of Salmonella in agricultural surface waters.

ENVIRONMENTAL MONITORING AND ASSESSMENT (2022)

Review Immunology

Men missing from the HIV care continuum in sub-Saharan Africa: a meta-analysis and meta-synthesis

Maria F. Nardell et al.

Summary: Men are missing along the HIV care continuum in sub-Saharan Africa, with varying proportions meeting the UNAIDS 95-95-95 goals. This study estimated the proportions of men meeting each goal, described the heterogeneity, and summarized qualitative evidence on factors influencing care engagement.

JOURNAL OF THE INTERNATIONAL AIDS SOCIETY (2022)

Article Medicine, General & Internal

Prediction of Endometrial Carcinoma Using the Combination of Electronic Health Records and an Ensemble Machine Learning Method

Wenwen Wang et al.

Summary: This study aimed to develop a machine learning-based model for predicting endometrial carcinoma (EC) and validated it in hospitals in central China. The results showed that the model had high accuracy in identifying EC, especially in the early stage.

FRONTIERS IN MEDICINE (2022)

Editorial Material Immunology

Funding the future of the HIV response

[Anonymous]

LANCET HIV (2022)

Review Infectious Diseases

A Systematic Review of Applications of Machine Learning and Other Soft Computing Techniques for the Diagnosis of Tropical Diseases

Kingsley Attai et al.

Summary: This systematic literature identifies the use of soft computing techniques in diagnosing tropical febrile diseases and analyzes their impact on physician care quality and effectiveness. The study finds that ensemble techniques and neural networks are commonly used, with dengue fever being the most studied disease. Accuracy is the primary metric for evaluating classification models. The findings benefit frontline healthcare workers and suggest the need for further research.

TROPICAL MEDICINE AND INFECTIOUS DISEASE (2022)

Review Surgery

Decision support by machine learning systems for acute management of severely injured patients: A systematic review

David Baur et al.

Summary: Machine learning has shown positive results in the initial management of severely injured patients, but there are requirements that need to be met for its implementation in daily clinical work. Experience in on-site implementation and more clinical trials are needed before machine learning techniques can become a reality in clinical care.

FRONTIERS IN SURGERY (2022)

Article Immunology

Prevalence and Predictors of Persistent Human Immunodeficiency Virus Viremia and Viral Rebound After Universal Test and Treat: A Population-Based Study

M. Kate Grabowski et al.

Summary: Limited data on individual HIV viral load trajectories at the population-level after the introduction of universal test and treat (UTT) in sub-Saharan Africa. The proportion of durable viral load suppression increased during UTT rollout, but a substantial portion of the population with younger, male, and mobile characteristics remained persistently viremic.

JOURNAL OF INFECTIOUS DISEASES (2021)

Article Immunology

Household wealth and HIV incidence over time, rural Uganda, 1994-2018

John S. Santelli et al.

Summary: The study found that from 1994 to 2018, the wealth gap in rural Uganda widened, with higher SES and lower SES showing significantly different trends in HIV incidence.
Article Immunology

Machine Learning Algorithms Using Routinely Collected Data Do Not Adequately Predict Viremia to Inform Targeted Services in Postpartum Women Living With HIV

Pamela M. Murnane et al.

Summary: The study aimed to predict viremia in postpartum women with HIV using routine data models, but found that the predictive discrimination was limited, suggesting the need to incorporate psychosocial characteristics or objective adherence metrics to improve prediction accuracy.

JAIDS-JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMES (2021)

Article Multidisciplinary Sciences

Migration in Namibia and its association with HIV acquisition and treatment outcomes

Andrea Low et al.

Summary: The study in Namibia found an association between migration and HIV infection rates and viral load suppression. Despite a high population-level VLS, migrant populations are not accessing effective treatment for HIV. Targeting migrants with effective prevention and testing programs in communities with viremia could enable further epidemic control.

PLOS ONE (2021)

Article Microbiology

Bayesian Generalized Linear Model for Simulating Bacterial Inactivation/Growth Considering Variability and Uncertainty

Satoko Hiura et al.

Summary: The proposed Bayesian statistical modeling based on a generalized linear model (GLM) successfully considers variability and uncertainty in bacterial behavior. The accuracy of the model revealed that more than 90% of observed cell numbers were within the 95% prediction interval, providing useful information for risk assessment related to food borne pathogens. The Bayesian inference method based on the GLM explains the variability and uncertainty in bacterial population behavior, demonstrating its applicability in simulation processes.

FRONTIERS IN MICROBIOLOGY (2021)

Article Public, Environmental & Occupational Health

Migrant health penalty: evidence of higher mortality risk among internal migrants in sub-Saharan Africa

Carren Ginsburg et al.

Summary: The study found that internal migration has a significant impact on health, with female migrants particularly vulnerable to health disadvantages. In-migrants have a higher risk of mortality compared to permanent residents, with return migrants at even greater risk. There is an adaptation effect observed across all ages, where the risk of mortality decreases with increasing duration following migration.

GLOBAL HEALTH ACTION (2021)

Article Public, Environmental & Occupational Health

Associations Between Patterns of Alcohol Use and Viral Load Suppression Amongst Women Living with HIV in South Africa

B. Myers et al.

Summary: In women living with HIV, occasional and frequent heavy episodic drinking (HED) were associated with suboptimal ART adherence, while frequent HED was also associated with viral non-suppression. Adherence partially mediated the relationship between frequent HED and viral non-suppression.

AIDS AND BEHAVIOR (2021)

Article Public, Environmental & Occupational Health

Spatial analysis of factors associated with HIV infection in Malawi: indicators for effective prevention

Jerry John Nutor et al.

BMC PUBLIC HEALTH (2020)

Article Immunology

The HIV care continuum among resident and non-resident populations found in venues in East Africa cross-border areas

Jessie K. Edwards et al.

JOURNAL OF THE INTERNATIONAL AIDS SOCIETY (2019)

Article Public, Environmental & Occupational Health

Mobility and sex work: why, where, when? A typology of female-sex-worker mobility in Zimbabwe

Calum Davey et al.

SOCIAL SCIENCE & MEDICINE (2019)

Article Public, Environmental & Occupational Health

Narrating the Transition to Adulthood for Youth in Uganda: Leaving School, Mobility, Risky Occupations, and HIV

Philip Kreniske et al.

HEALTH EDUCATION & BEHAVIOR (2019)

Editorial Material Immunology

Bringing population mobility into focus to achieve HIV prevention goals

Carol S. Camlin et al.

JOURNAL OF THE INTERNATIONAL AIDS SOCIETY (2018)

Article Medicine, General & Internal

HIV Prevention Efforts and Incidence of HIV in Uganda

M. K. Grabowski et al.

NEW ENGLAND JOURNAL OF MEDICINE (2017)

Article Public, Environmental & Occupational Health

Mobility among youth in Rakai, Uganda: Trends, characteristics, and associations with behavioural risk factors for HIV

Ashley C. Schuyler et al.

GLOBAL PUBLIC HEALTH (2017)

Article Public, Environmental & Occupational Health

Data Resource Profile: Network for Analysing Longitudinal Population-based HIV/AIDS data on Africa (ALPHA Network)

Georges Reniers et al.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2016)

Article Public, Environmental & Occupational Health

Improving Propensity Score Estimators' Robustness to Model Misspecification Using Super Learner

Romain Pirracchio et al.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2015)

Article Public, Environmental & Occupational Health

Healthy migrant and salmon bias hypotheses: A study of health and internal migration in China

Yao Lu et al.

SOCIAL SCIENCE & MEDICINE (2014)

Article Public, Environmental & Occupational Health

Conceptual Framework and Research Methods for Migration and HIV Transmission Dynamics

Susan Cassels et al.

AIDS AND BEHAVIOR (2014)

Article Biochemical Research Methods

Evaluation of current rapid HIV test algorithms in Rakai, Uganda

Ronald M. Galiwango et al.

JOURNAL OF VIROLOGICAL METHODS (2013)

Article Medicine, General & Internal

HIV Care for Geographically Mobile Populations

Barbara S. Taylor et al.

MOUNT SINAI JOURNAL OF MEDICINE (2011)

Article Public, Environmental & Occupational Health

The Health and Demographic Surveillance System (HDSS) in Nouna, Burkina Faso, 1993-2007

Ali Sie et al.

GLOBAL HEALTH ACTION (2010)

Article Communication

Total Survey Error: Design, Implementation, and Evaluation

Paul P. Biemer

PUBLIC OPINION QUARTERLY (2010)

Article Biochemistry & Molecular Biology

Super learner

Mark J. van der Laan et al.

STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY (2007)