Real-world insights of patient voices with age-related macular degeneration in the Republic of Korea and Taiwan: an AI-based Digital Listening study by Semantic-Natural Language Processing [0.03%]
基于语义自然语言处理的AI数字聆听研究：在韩国和台湾，与年龄相关性黄斑变性的患者心声的真实世界洞察力
Hyewon Jeon,Su-Yeon Yu,Olga Chertkova et al.
Hyewon Jeon et al.
Background: In this era of active online communication, patients increasingly share their healthcare experiences, concerns, and needs across digital platforms. Leveraging these vast repositories of real-world information,...
Katharina Schuler,Ian-C Jung,Maria Zerlik et al.
Katharina Schuler et al.
Background: Clinical decision support systems (CDSS) frequently exhibit insufficient contextual adaptation, diminishing user engagement. To enhance the sensitivity of CDSS to contextual conditions, it is crucial first to ...
Boshra Farajollahi,Mohammadjavad Sayadi,Mostafa Langarizadeh et al.
Boshra Farajollahi et al.
Background: The HELLP syndrome represents three complications: hemolysis, elevated liver enzymes, and low platelet count. Since the causes and pathogenesis of HELLP syndrome are not yet fully known and well understood, di...
Predictive ability of visit-to-visit glucose variability on diabetes complications [0.03%]
血糖变异性与糖尿病并发症的预测能力研究
Xin Rou Teh,Panu Looareesuwan,Oraluck Pattanaprateep et al.
Xin Rou Teh et al.
Background: Identification of prognostic factors for diabetes complications are crucial. Glucose variability (GV) and its association with diabetes have been studied extensively but the inclusion of measures of glucose va...
Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review [0.03%]
基于人工智能的性健康，生殖健康和精神健康风险评估工具：系统回顾
Shifat Islam,Rifat Shahriyar,Abhishek Agarwala et al.
Shifat Islam et al.
Background: Artificial intelligence (AI), which emulates human intelligence through knowledge-based heuristics, has transformative impacts across various industries. In the global healthcare sector, there is a pressing ne...
Risk prediction of hyperuricemia based on particle swarm fusion machine learning solely dependent on routine blood tests [0.03%]
仅依靠常规血液检查基于粒子群融合机器学习的高尿酸血症风险预测
Min Fang,Chengjie Pan,Xiaoyi Yu et al.
Min Fang et al.
Hyperuricemia has seen a continuous increase in incidence and a trend towards younger patients in recent years, posing a serious threat to human health and highlighting the urgency of using technological means for disease risk prediction. E...
Machine learning based model for the early detection of Gestational Diabetes Mellitus [0.03%]
基于机器学习的妊娠糖尿病早期检测模型
Hesham Zaky,Eleni Fthenou,Luma Srour et al.
Hesham Zaky et al.
Background: Gestational Diabetes Mellitus (GDM) is one of the most common medical complications during pregnancy. In the Gulf region, the prevalence of GDM is higher than in other parts of the world. Thus, there is a need...
Hammam Abu Attieh,Armin Müller,Felix Nikolaus Wirth et al.
Hammam Abu Attieh et al.
Background: Pseudonymization is an important technique for the secure and compliant use of medical data in research. At its core, pseudonymization is a process in which directly identifying information is separated from m...
Parallel privacy preservation through partitioning (P4): a scalable data anonymization algorithm for health data [0.03%]
并行分区隐私保护(P4)：用于健康数据的可扩展匿名化算法
Mehmed Halilovic,Thierry Meurers,Karen Otte et al.
Mehmed Halilovic et al.
Background: Sharing health data holds great potential for advancing medical research but also poses many challenges, including the need to protect people's privacy. One approach to address this is data anonymization, whic...
Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients? [0.03%]
机器学习的某些算法可以通过训练和测试患者的临床信息来识别骨质疏松症患者吗？
Guixiong Huang,Weilin Zhu,Yulong Wang et al.
Guixiong Huang et al.
Objective: This study was designed to establish a diagnostic model for osteoporosis by collecting clinical information from patients with and without osteoporosis. Various machine learning algorithms were employed for tra...