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This work presents a hybrid deep learning approach for identifying students who are likely to experience academic difficulties in virtual learning environments. The proposed framework is evaluated on the Open University ...

ObjectiveTo investigate the key risk factors for secondary ectopics of catheter after central venous catheter insertion(PICC) through peripheral veins,and to construct and validate a risk prediction model based on the ra...

BackgroundThe prevalence of chronic diseases among the Chinese occupational population is rising steadily, with hypertension and diabetes becoming important health concerns. Occupational health examinations (OHE) provide...

Abstract Background With the widespread adoption of percutaneous coronary intervention (PCI), patients experiencing acute myocardial infarction (AMI) complicated by ventricular arrhythmia (VA) continue to encounter a sig...

BackgroundAdhesive intestinal obstruction (AIO) is a recognized complication following laparoscopic surgery for acute appendicitis (AA), although its overall incidence remains relatively low. This study aimed to develop ...

In India's mountainous areas, maternal mortality is still a serious public health concern, especially in Uttarakhand, where access to healthcare is hampered by geographical obstacles. UttaraRisk-Next, a multi-task ensemb...

Diabetes is prevalent globally, expected to increase in the next few years. This includes people with different types of diabetes including type 1 diabetes and type 2 diabetes. There are several causes for the increase: ...

BackgroundTo develop and externally validate a coronary heart disease (CHD) risk model from routine clinical indicators and identify key predictors.MethodsThe Framingham Heart Study cohort (n = 4,240) was used. Missi...

The rapid evolution of sustainability legislation, including the CSDDD and CSRD, has created a complex dual mandate for modern enterprises. Organizations are now required to provide granular transparency into their suppl...

Falls among older adults pose a major healthcare and social burden, making early identification of high-risk individuals essential for prevention. This study presents a portable, non-invasive AI-based wearable system tha...

Abstract Background Patients with AIDS Suffering from sepsis secondary to pulmonary infections admitted to intensive care units (ICUs) carry a high burden of morbidity and mortality. Therefore, rapid identification and t...

BackgroundChildhood obesity represents a significant global public health challenge. Accurate and rapid prediction models for identifying obesity risk in children and adolescents are essential for facilitating early prev...

Abstract In terms of global health, cardiovascular diseases remain an emerging challenge, for which early estimation for timely medical treatment proves crucial. In this paper, an estimate of this challenge has been pres...

Abstract Background Preterm low birth weight (PLBW) is a major global contributor to neonatal morbidity and mortality. This study aims to develop and evaluate a novel artificial neural network (ANN) based predictive mode...

Tingting Huang,1 Jibao Qin,2 Xi Jiang,1 Ming Hu,1 Jiaping Wang,1 Kaiyong Chen,3 Fumeng Yang,4 Jin Gu,5 Huiyi Wu,1 Xinkuan Chen6 1Department of Laboratory Medicine, Donghai Hospital Affiliated to Kangda College of Nanjing...

Abstract Objective Adverse childhood experiences (ACEs) have been increasingly recognized as potential predictors of cardiovascular disease (CVD), alongside established factors such as hypertension. This study examined t...

Abstract Background Neonatal seizures are sudden, abnormal brain activities that occur during the neonatal period, are the most common neurological emergencies in newborns, and are associated with high morbidity and mort...

BackgroundYoung women with localized breast cancer represent a clinically distinct population with heterogeneous outcomes, yet age-specific prognostic models remain limited. Conventional risk stratification tools derived...

Organophosphate flame retardants (OPFRs) have been widely used as the main alternatives to bromine-based flame retardants, resulting in their widespread detection in environmental media and even in human blood. The poten...

ObjectiveTo investigate the predictive value of serum citrullinated histone H3 (CitH3) and thymic stromal lymphopoietin (TSLP) for postoperative wound healing outcomes in patients with pilonidal sinus (PS), and to constr...

IntroductionDisrupted rest-activity rhythm (RAR), an accelerometer-derived measure of the strength and temporal organization of daily behavioral rhythms, has been linked to multiple adverse health outcomes. Given that th...

One foundational goal of global health and a shared inspiration for all humankind is to reduce premature mortality from preventable and treatable conditions. This imperative becomes markedly more urgent for the uniquely ...

Abstracts Alert fatigue remains a major barrier to the effective deployment of predictive models in emergency care, particularly in the context of rare but critical outcomes such as in-hospital mortality (IHM), which oft...

BackgroundPrevious Studies on prediction models for futile reperfusion after endovascular thrombectomy (EVT) in acute ischemic stroke (AIS) related to large vessel occlusion (LVO) have yielded inconsistent results. This ...