XGBoost-SHAP-based interpretable diagnostic framework for alzheimer's disease [0.03%]
基于XGBoost-SHAP的阿尔茨海默病可解释诊断框架
Fuliang Yi,Hui Yang,Durong Chen et al.
Fuliang Yi et al.
Background: Due to the class imbalance issue faced when Alzheimer's disease (AD) develops from normal cognition (NC) to mild cognitive impairment (MCI), present clinical practice is met with challenges regarding the auxil...
Shared decision-making in physiotherapy: a cross-sectional study of patient involvement factors and issues in Japan [0.03%]
日本物理治疗中的共享决策：患者参与因素和问题的横断面研究
Tatsuya Ogawa,Shuhei Fujimoto,Kyohei Omon et al.
Tatsuya Ogawa et al.
Background: Evidence-based medicine education has not focused on how clinicians involve patients in decision-making. Although shared decision-making (SDM) has been investigated to address this issue, there are insufficien...
Chinese medical entity recognition based on the dual-branch TENER model [0.03%]
基于双分支TENER模型的中文医学实体识别方法研究
Hui Peng,Zhichang Zhang,Dan Liu et al.
Hui Peng et al.
Background: Named Entity Recognition (NER) is a long-standing fundamental problem in various research fields of Natural Language Processing (NLP) and has been practiced in many application scenarios. However, the applicat...
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population [0.03%]
机器学习模型与传统模型在中国一般人群中动脉粥样硬化性心血管疾病风险预测中的性能比较研究
Zihao Fan,Zhi Du,Jinrong Fu et al.
Zihao Fan et al.
Background: Accurately predicting the risk of atherosclerotic cardiovascular disease (ASCVD) is crucial for implementing individualized prevention strategies and improving patient outcomes. Our objective is to develop mac...
Short-term prognostic models for severe acute kidney injury patients receiving prolonged intermittent renal replacement therapy based on machine learning [0.03%]
基于机器学习的长时间间歇性肾脏替代治疗急性严重肾损伤患者的短期预后模型
Wenqian Wei,Zhefei Cai,Lei Chen et al.
Wenqian Wei et al.
Background: As an effective measurement for severe acute kidney injury (AKI), the prolonged intermittent renal replacement therapy (PIRRT) received attention. Also, machine learning has advanced and been applied to medici...
Quality indices for topic model selection and evaluation: a literature review and case study [0.03%]
主题模型选择与评估的质量指标：文献回顾和案例研究
Christopher Meaney,Therese A Stukel,Peter C Austin et al.
Christopher Meaney et al.
Background: Topic models are a class of unsupervised machine learning models, which facilitate summarization, browsing and retrieval from large unstructured document collections. This study reviews several methods for ass...
Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework [0.03%]
基于PPG信号的非侵入式动脉血压测量和SpO2估计：一种深度学习框架
Yan Chu,Kaichen Tang,Yu-Chun Hsu et al.
Yan Chu et al.
Background: Monitoring blood pressure and peripheral capillary oxygen saturation plays a crucial role in healthcare management for patients with chronic diseases, especially hypertension and vascular disease. However, cur...
An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application [0.03%]
急性术后眼内炎智能决策支持系统：智能手机应用程序的设计、开发和评估
Mahdi Shaeri,Nasser Shoeibi,Seyedeh Maryam Hosseini et al.
Mahdi Shaeri et al.
Background: Today, clinical decision support systems based on artificial intelligence can significantly help physicians in the correct diagnosis and quick rapid treatment of endophthalmitis as the most important cause of ...
Machine learning-based mortality prediction models for smoker COVID-19 patients [0.03%]
基于机器学习的吸烟者COVID-19患者死亡率预测模型
Ali Sharifi-Kia,Azin Nahvijou,Abbas Sheikhtaheri
Ali Sharifi-Kia
Background: The large number of SARS-Cov-2 cases during the COVID-19 global pandemic has burdened healthcare systems and created a shortage of resources and services. In recent years, mortality prediction models have show...
A mobile health application for patients eligible for statin therapy: app development and qualitative feedback on design and usability [0.03%]
他汀类药物治疗患者的移动卫生应用程序开发及设计和易用性定性反馈结果
Weidan Cao,Lang Li,Puneet Mathur et al.
Weidan Cao et al.
Background: Cardiovascular disease is the leading cause of death in the United States (US). Despite the well-recognized efficacy of statins, statin discontinuation rates remain high. Statin intolerance is a major cause of...