Liver function test indices-based prediction model for post-stroke depression: a multicenter, retrospective study [0.03%]
基于肝功能指标的卒中后抑郁预测模型的多中心回顾性研究
Jun Gong,Yalian Zhang,Xiaogang Zhong et al.
Jun Gong et al.
Background: Post-stroke depression (PSD) was one of the most prevalent and serious neuropsychiatric effects after stroke. Nevertheless, the association between liver function test indices and PSD remains elusive, and ther...
RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records [0.03%]
RegEMR：一个自动识别中国电子病历中卵巢早衰的自然语言处理系统
Jie Cai,Shenglin Chen,Siyun Guo et al.
Jie Cai et al.
Background: The ovarian reserve is a reservoir for reproductive potential. In clinical practice, early detection and treatment of premature ovarian decline characterized by abnormal ovarian reserve tests is regarded as a ...
Machine learning applications for early detection of esophageal cancer: a systematic review [0.03%]
机器学习在食管癌早期检测中的应用：一项系统性综述
Farhang Hosseini,Farkhondeh Asadi,Hassan Emami et al.
Farhang Hosseini et al.
Introduction: Esophageal cancer (EC) is a significant global health problem, with an estimated 7th highest incidence and 6th highest mortality rate. Timely diagnosis and treatment are critical for improving patients' outc...
Development and validation of prediction model for overall survival in patients with lymphoma: a prospective cohort study in China [0.03%]
中国弥漫大B细胞淋巴瘤患者预后模型的建立和验证：前瞻性队列研究
Xiaosheng Li,Yue Chen,Anlong Sun et al.
Xiaosheng Li et al.
Objective: The survival of patients with lymphoma varies greatly among individuals and were affected by various factors. The aim of this study was to develop and validate a prognostic model for predicting overall survival...
Designing and evaluating the children's developmental motor disorders system: an experience from a developing country [0.03%]
设计和评估儿童发育性运动障碍系统：发展中国家的经验
Elahe Gozali,Reza Safdari,Bahlol Rahimi et al.
Elahe Gozali et al.
Background: Developmental disorders are a prevalent problem in the health sector of low- and middle-income countries (LMICs), and children in these countries are at greater risk. A registry system is helpful and vital to ...
Deep learning for histopathological segmentation of smooth muscle in the urinary bladder [0.03%]
深度学习在尿路膀胱平滑肌组织病理分割中的应用研究
Sridevi K Subramanya,Rui Li,Ying Wang et al.
Sridevi K Subramanya et al.
Background: Histological assessment of smooth muscle is a critical step particularly in staging malignant tumors in various internal organs including the urinary bladder. Nonetheless, manual segmentation and classificatio...
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records [0.03%]
利用人工智能识别电子健康记录中的偏头痛患者及其相关症状和疾病
Daniel Riskin,Roger Cady,Anand Shroff et al.
Daniel Riskin et al.
Background: Real-world evidence (RWE)-based on information obtained from sources such as electronic health records (EHRs), claims and billing databases, product and disease registries, and personal devices and health appl...
Prognostic models for breast cancer: based on logistics regression and Hybrid Bayesian Network [0.03%]
基于逻辑回归和混合贝叶斯网络的乳腺癌预后模型
Fan Su,Jianqian Chao,Pei Liu et al.
Fan Su et al.
Background: To construct two prognostic models to predict survival in breast cancer patients; to compare the efficacy of the two models in the whole group and the advanced human epidermal growth factor receptor-2-positive...
Development of a novel drug information provision system for Kampo medicine using natural language processing technology [0.03%]
基于自然语言处理技术的汉方药信息服务系统开发研究
Ayako Maeda-Minami,Tetsuhiro Yoshino,Tetsuro Yumoto et al.
Ayako Maeda-Minami et al.
Background: Kampo medicine is widely used in Japan; however, most physicians and pharmacists have insufficient knowledge and experience in it. Although a chatbot-style system using machine learning and natural language pr...
How can social robot use cases in healthcare be pushed - with an interoperable programming interface [0.03%]
具有互操作性编程接口的社交机器人如何在医疗保健领域得到更广泛的应用？
Robin Glauser,Jürgen Holm,Matthias Bender et al.
Robin Glauser et al.
Introduction: Research into current robot middleware has revealed that most of them are either too complicated or outdated. These facts have motivated the development of a new middleware to meet the requirements of usabil...