Big data and AI for gender equality in health: bias is a big challenge [0.03%]
大数据和人工智能在健康领域的性别平等：偏见是主要障碍
Anagha Joshi
Anagha Joshi
Artificial intelligence and machine learning are rapidly evolving fields that have the potential to transform women's health by improving diagnostic accuracy, personalizing treatment plans, and building predictive models of disease progress...
Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub [0.03%]
基于INSPIRE网络数据枢纽的纵向心理健康数据整合：利用生命周期和OMOP词汇表进行精神健康状况分期数据库的构建与应用研究
Bylhah Mugotitsa,Tathagata Bhattacharjee,Michael Ochola et al.
Bylhah Mugotitsa et al.
Background: Longitudinal studies are essential for understanding the progression of mental health disorders over time, but combining data collected through different methods to assess conditions like depression, anxiety, ...
Petar Radanliev,David De Roure,Carsten Maple et al.
Petar Radanliev et al.
Internet-of-Things (IoT) refers to low-memory connected devices used in various new technologies, including drones, autonomous machines, and robotics. The article aims to understand better cyber risks in low-memory devices and the challenge...
Ontology extension by online clustering with large language model agents [0.03%]
基于大型语言模型代理的在线聚类本体扩展方法研究
Guanchen Wu,Chen Ling,Ilana Graetz et al.
Guanchen Wu et al.
An ontology is a structured framework that categorizes entities, concepts, and relationships within a domain to facilitate shared understanding, and it is important in computational linguistics and knowledge representation. In this paper, w...
Unsupervised machine learning model for detecting anomalous volumetric modulated arc therapy plans for lung cancer patients [0.03%]
用于检测异常体积调制旋转治疗计划的无监督机器学习模型（以肺癌患者为例）
Peng Huang,Jiawen Shang,Yuhan Fan et al.
Peng Huang et al.
Purpose: Volumetric modulated arc therapy (VMAT) is a new treatment modality in modern radiotherapy. To ensure the quality of the radiotherapy plan, a physics plan review is routinely conducted by senior clinicians; howev...
Machine learning-based remission prediction in rheumatoid arthritis patients treated with biologic disease-modifying anti-rheumatic drugs: findings from the Kuwait rheumatic disease registry [0.03%]
基于机器学习的生物改善病情抗风湿药治疗类风湿关节炎患者的缓解预测：科威特风湿病登记处的研究结果
Ahmad R Alsaber,Adeeba Al-Herz,Balqees Alawadhi et al.
Ahmad R Alsaber et al.
Background: Rheumatoid arthritis (RA) is a common condition treated with biological disease-modifying anti-rheumatic medicines (bDMARDs). However, many patients exhibit resistance, necessitating the use of machine learnin...
Prediction and classification of obesity risk based on a hybrid metaheuristic machine learning approach [0.03%]
基于混合元启发式机器学习方法的肥胖风险预测与分类
Zarindokht Helforoush,Hossein Sayyad
Zarindokht Helforoush
Introduction: As the global prevalence of obesity continues to rise, it has become a major public health concern requiring more accurate prediction methods. Traditional regression models often fail to capture the complex ...
Making the most of big qualitative datasets: a living systematic review of analysis methods [0.03%]
大数据质性研究资料的利用最大化：分析方法的living系统评价
Abinaya Chandrasekar,Sigrún Eyrúnardóttir Clark,Sam Martin et al.
Abinaya Chandrasekar et al.
Introduction: Qualitative data provides deep insights into an individual's behaviors and beliefs, and the contextual factors that may shape these. Big qualitative data analysis is an emerging field that aims to identify t...
Data-driven classification and explainable-AI in the field of lung imaging [0.03%]
基于数据驱动的分类和解释性人工智能在肺部影像学中的应用
Syed Taimoor Hussain Shah,Syed Adil Hussain Shah,Iqra Iqbal Khan et al.
Syed Taimoor Hussain Shah et al.
Detecting lung diseases in medical images can be quite challenging for radiologists. In some cases, even experienced experts may struggle with accurately diagnosing chest diseases, leading to potential inaccuracies due to complex or unseen ...
Anna Aksenova,Anoop Johny,Tim Adams et al.
Anna Aksenova et al.
In today's data-centric landscape, effective data stewardship is critical for facilitating scientific research and innovation. This article provides an overview of essential tools and frameworks for modern data stewardship practices. Over 3...