Feature selection and association rule learning identify risk factors of malnutrition among Ethiopian schoolchildren [0.03%]
特征选择和关联规则学习识别埃塞俄比亚学龄儿童营养不良的风险因素
William A Russel,Jim Perry,Claire Bonzani et al.
William A Russel et al.
Introduction: Previous studies have sought to identify risk factors for malnutrition in populations of schoolchildren, depending on traditional logistic regression methods. However, holistic machine learning (ML) approach...
A maximum-likelihood method to estimate haplotype frequencies and prevalence alongside multiplicity of infection from SNP data [0.03%]
从SNP数据中估计单倍型频率和流行率以及感染多态性的最大似然方法
Henri Christian Junior Tsoungui Obama,Kristan Alexander Schneider
Henri Christian Junior Tsoungui Obama
The introduction of genomic methods facilitated standardized molecular disease surveillance. For instance, SNP barcodes in Plasmodium vivax and Plasmodium falciparum malaria allows the characterization of haplotypes, their frequencies and p...
Rationale and design of the Anal HPV, HIV and Aging (AHHA) study: Protocol for a prospective study of anal HPV infection and HSIL among men who have sex (MSM) or trans women living with and without HIV, ages 50 and older [0.03%]
肛HPV、HIV和老龄化(AHHA)研究的原理与设计：50岁及以上有或无HIV感染的男男性行为者或变性女性肛门HPV感染及HSIL的前瞻性研究方案
Alexandra L Hernandez,Christopher Scott Weatherly,Ryan Gonzalez et al.
Alexandra L Hernandez et al.
Introduction: More than half of people living with HIV in the US are 50+ years old. Despite the benefits of antiretroviral therapy, older individuals with HIV are at higher risk for illnesses than their HIV-negative count...
Peter Tammes
Peter Tammes
Anna Lohmann,Oscar L O Astivia,Tim P Morris et al.
Anna Lohmann et al.
The quantitative analysis of research data is a core element of empirical research. The performance of statistical methods that are used for analyzing empirical data can be evaluated and compared using computer simulations. A single simulat...
Illness-Death Model as a Framework for Chronic Disease Burden Projection: Application to Mental Health Epidemiology [0.03%]
疾病负担预测的框架模型：精神卫生流行病学中的应用举例
Chisato Ito,Tobias Kurth,Bernhard T Baune et al.
Chisato Ito et al.
Introduction: Estimates of future disease burden supports public health decision-making. Multistate modeling of chronic diseases is still limited despite a long history of mathematical modeling of diseases. We introduce a...
Time to death and its predictors among adult patients with COVID-19: A retrospective cohort study in Ethiopia [0.03%]
埃塞俄比亚COVID-19成人患者的死亡时间及其预测因素：一项回顾性队列研究
Tegene Atamenta,Amsale Cherie,Wudma Alemu
Tegene Atamenta
Background: Coronavirus (COVID-19) disease affected people throughout the globe and has become a severe threat to the health and wellbeing of the global community. Time to death and predictors of mortality vary across set...
Kristan Alexander Schneider,Henri Christian Junior Tsoungui Obama,George Kamanga et al.
Kristan Alexander Schneider et al.
The presence of multiple genetically different pathogenic variants within the same individual host is common in infectious diseases. Although this is neglected in some diseases, it is well recognized in others like malaria, where it is typi...
Aedes aegypti anti-salivary proteins IgG levels in a cohort of DENV-like symptoms subjects from a dengue-endemic region in Colombia [0.03%]
来自哥伦比亚登革热流行区的一组具有类似登革病毒症状的样品中的伊蚊抗唾液蛋白IgG水平
Olayinka M Olajiga,Alejandro Marin-Lopez,Jenny C Cardenas et al.
Olayinka M Olajiga et al.
Dengue fever, caused by the dengue virus (DENV), is currently a threat to about half of the world's population. DENV is mainly transmitted to the vertebrate host through the bite of a female Aedes mosquito while taking a blood meal. During ...
Importance of Diagnostic Accuracy in Big Data: False-Positive Diagnoses of Type 2 Diabetes in Health Insurance Claims Data of 70 Million Germans [0.03%]
大数据中诊断准确性的重要性：7000万德国人的健康保险理赔数据中对2型糖尿病的误诊问题
Ralph Brinks,Thaddäus Tönnies,Annika Hoyer
Ralph Brinks
Large data sets comprising diagnoses of chronic conditions are becoming increasingly available for research purposes. In Germany, it is planned that aggregated claims data - including medical diagnoses from the statutory health insurance - ...