A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data [0.03%]
一种新的生成对抗网络建模方法解决高维组学数据中的类不平衡问题
Samuel Cusworth,Georgios V Gkoutos,Animesh Acharjee
Samuel Cusworth
Class imbalance remains a large problem in high-throughput omics analyses, causing bias towards the over-represented class when training machine learning-based classifiers. Oversampling is a common method used to balance classes, allowing f...
A prediction model based on artificial intelligence techniques for disintegration time and hardness of fast disintegrating tablets in pre-formulation tests [0.03%]
基于人工智能技术的快速分散片预配方试验解散时间和硬度预测模型
Mehri Momeni,Marziyeh Afkanpour,Saleh Rakhshani et al.
Mehri Momeni et al.
Background: The pharmaceutical industry is continually striving to innovate drug development and formulation processes. Orally disintegrating tablets (ODTs) have gained popularity due to their quick release and patient-fr...
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset [0.03%]
机器学习方法在预测5岁以下儿童死亡率中的应用——对尼日利亚2018年人口和健康调查数据集的分析
Oduse Samuel,Temesgen Zewotir,Delia North
Oduse Samuel
Background: Under-five mortality remains a significant public health issue in developing countries. This study aimed to assess the effectiveness of various machine learning algorithms in predicting under-five mortality in...
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma [0.03%]
用于肾细胞癌患者术后慢性肾脏病发病预测的机器学习模型
Seol Whan Oh,Seok-Soo Byun,Jung Kwon Kim et al.
Seol Whan Oh et al.
Background: Patients with renal cell carcinoma (RCC) have an elevated risk of chronic kidney disease (CKD) following nephrectomy. Therefore, continuous monitoring and subsequent interventions are necessary. It is recommen...
Development and validation of a nomogram for predicting in-hospital mortality in ICU patients with infective endocarditis [0.03%]
感染性心内膜炎ICU患者住院死亡预测列线图的构建和验证
Dongyang Che,Jinlin Hu,Jialiang Zhu et al.
Dongyang Che et al.
Background: Infective endocarditis (IE) is a disease with high in-hospital mortality. The objective of the present investigation was to develop and validate a nomogram that precisely anticipates in-hospital mortality in I...
Hang Lu,Yuxing Mao,Jinsen Li et al.
Hang Lu et al.
Background: Benign paroxysmal positional vertigo (BPPV) is a prevalent form of vertigo that necessitates a skilled physician to diagnose by observing the nystagmus and vertigo resulting from specific changes in the patien...
An Effective Methodology for Scoring to Assist Emergency Physicians in Identifying Overcrowding in an Academic Emergency Department in Thailand [0.03%]
一种有效的方法论：协助急诊医师识别泰国学术型急诊科拥挤状况的评分系统
Sukumpat Na Nan,Borwon Wittayachamnankul,Wachira Wongtanasarasin et al.
Sukumpat Na Nan et al.
Background: Emergency Department (ED) overcrowding is a global concern, with tools like NEDOCS, READI, and Work Score used as predictors. These tools aid healthcare professionals in identifying overcrowding and preventing...
Development of a communication platform for patients with head and neck cancer for effective information delivery and improvement of doctor-patient relationship: application of treatment journey-based service blueprint [0.03%]
基于治疗路径的服务蓝图在头颈部肿瘤患者沟通平台构建及医患关系改善中的应用研究
Yoo-Ri Koo,Eun-Jeong Kim,Inn-Chul Nam
Yoo-Ri Koo
Background: Effective communication and information delivery enhance doctor-patient relationships, improves adherence to treatment, reduces work burden, and supports decision-making. The study developed a head and neck ca...
Ensemble-imbalance-based classification for amyotrophic lateral sclerosis prognostic prediction: identifying short-survival patients at diagnosis [0.03%]
基于集合不平衡的分类法在肌萎缩侧索硬化预后预测中的应用：诊断初期识别生存期较短的患者
Fabiano Papaiz,Mario Emílio Teixeira Dourado Jr,Ricardo Alexsandro de Medeiros Valentim et al.
Fabiano Papaiz et al.
Prognosticating Amyotrophic Lateral Sclerosis (ALS) presents a formidable challenge due to patients exhibiting different onset sites, progression rates, and survival times. In this study, we have developed and evaluated Machine Learning (ML...
Development of a new computer simulated environment to screen cognition: assessing the feasibility and acceptability of Leaf Café in younger and older adults [0.03%]
新计算机仿真环境的应用研发：在年轻人和老年人中评估Leaf咖啡馆认知测评工具的可行性和接受度
Joyce Siette,Jonathan Guion,Kiran Ijaz et al.
Joyce Siette et al.
Background: Existing traditional cognitive screening tools for dementia have various limitations, including overreliance on tests assessing verbal memory and, to a lesser extent, on some aspects of executive functioning. ...