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Customer churn prediction is essential across data-driven industries such as insurance, digital banking, e-commerce, and subscription platforms, where retaining existing customers is typically more cost-effective than ac...

Clinical narratives in electronic health records (EHRs) are a key source of information in mental health care, but their unstructured nature limits systematic analysis. We propose an NLP framework to extract therapeutic ...

IntroductionWe evaluated whether a generative adversarial network (GAN)-based super-resolution (SR) radiomics pipeline could improve the pre-fine-needle aspiration (FNA) prediction of nondiagnostic (Bethesda I) outcomes ...

Sevgi Ünal,1 Remzi Gürfidan2 1Department of Radiology, Izmir Katip Celebi University Ataturk Training and Research Hospital, Izmir, Türkiye; 2Database, Network Design and Management, Isparta University of Applied Scie...

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...

Abstract Objectives To develop and evaluate a deep learning model for diagnosing untreated rheumatoid arthritis (RA) using digital camera images of bilateral dorsal hands, benchmarking its performance against the widely-...

Abstract Objective Deep vein thrombosis (DVT) represents a major thrombo-inflammatory disorder with substantial diagnostic challenges. Emerging evidence implicates that neutrophil extracellular traps (NETs) and miR-155 a...

Psychiatrists and other mental health clinicians are often tasked with assessing patients’ risk of violence. Approaches to this vary and include both unstructured (based on individual clinicians’ judgement) and struc...

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...

Abstract Background Sliding hiatal herniation (SHH) and gastroesophageal reflux (GER) commonly occur in French bulldogs. Wireless pH monitoring can quantitatively assess acidic GER in dogs affected by SHH. Hypothesis/Obj...

Abstract Background A prediction tool was developed and internally validated to aid the diagnosis of Cushing's syndrome in dogs attending UK primary‐care practices. External validation is an important part of model val...

Abstract BackgroundMainstays of pharmacoepidemiology are large, representative, behavioral surveys, which focus on many drugs with few detailed behaviors. Smaller, targeted studies measure drug-specific patte...

Abstract Background Surgical site infections (SSIs) continue to exert a substantial burden on healthcare systems, particularly in resource-limited settings where they contribute to prolonged hospitalizations, escalated c...

Abstract Objective Machine learning-based approaches were applied to explore prognostic risk factors for patients with tuberculous meningitis (TBM) and develop a risk prediction model for their 1-year post-treatment poor...

Caviidae is a diverse group of caviomorph rodents that is broadly distributed in South America and is divided into three highly divergent extant lineages: Caviinae (cavies), Dolichotinae (maras), and Hydrochoerinae (capy...

BackgroundUlcerative colitis (UC) is a chronic inflammatory bowel disease, and precise evaluation of disease activity is essential for effective management. This study aimed to assess the value of the peripheral-blood ne...

Issues that arise in the practical implementation of the Phillips et al. (2011) and Phillips et al. (2015a) recursive procedures for identifying and dating explosive episodes in time series are considered. It is argued t...

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 Background Characterisation of CT detected ovarian masses is challenging with overlapping imaging features, unreliable biomarker or clinical presentation. We proposed a two-staged CT-based radiomics model to ide...

This study introduces a framework for cyber threat intelligence aimed at enhancing Türkiye’s proactive cybersecurity capabilities, specifically addressing security vulnerabilities. A geographic analysis involving 11,...

Abstract The Molecular Evolutionary Genetics Analysis (MEGA) software has matured to contain a large collection of methods and tools of computational molecular evolution. Here, we describe new additions that make MEGA a ...

The Molecular Evolutionary Genetics Analysis (MEGA) software has matured to contain a large collection of methods and tools of computational molecular evolution. Here, we describe new additions that make MEGA a more comp...

Accurate modeling of geographic distributions of species is crucial to various applications in ecology and conservation. The best performing techniques often require some parameter tuning, which may be prohibitively time...

If radiocarbon measurements are to be used at all for chronological purposes, we have to use statistical methods for calibration. The most widely used method of calibration can be seen as a simple application of Bayesian...