Comparative performance of intensive care mortality prediction models based on manually curated versus automatically extracted electronic health record data [0.03%]
基于手动整理的电子健康记录数据和自动提取的电子健康记录数据的强化护理死亡率预测模型的性能比较
A R Jagesar,M Otten,T A Dam et al.
A R Jagesar et al.
Introduction: Benchmarking intensive care units for audit and feedback is frequently based on comparing actual mortality versus predicted mortality. Traditionally, mortality prediction models rely on a limited number of i...
Development, evaluation and validation of machine learning models to predict hospitalizations of patients with coronary artery disease within the next 12 months [0.03%]
冠心病患者的住院预测模型的开发、评估与验证
Andrey D Ermak,Denis V Gavrilov,Roman E Novitskiy et al.
Andrey D Ermak et al.
Background: Improved survival of patients after acute coronary syndromes, population growth, and overall life expectancy rise have led to a significant increase in the proportion of patients with stable coronary artery di...
Pain prediction model based on machine learning and SHAP values for elders with dementia in Taiwan [0.03%]
基于机器学习和SHAP值的台湾痴呆老人疼痛预测模型
Shwu-Feng Tsay,Cheng-Yu Chang,Sing Shueh Hung et al.
Shwu-Feng Tsay et al.
Introduction: Pain conditions are common in elderly individuals, including those with dementia. However, symptoms associated with dementia may lead to poor recognition, assessment and management of pain. In this study, we...
Have we found a solution for health misinformation? A ten-year systematic review of health misinformation literature 2013-2022 [0.03%]
十年来（2013-2022）健康谣言的研究进展及对策综述
Shiyi Zhang,Huiyu Zhou,Yimei Zhu
Shiyi Zhang
Background: Health misinformation (HM) has emerged as a prominent social issue in recent years, driven by declining public trust, popularisation of digital media platforms and escalating public health crisis. Since the Co...
Combining deep neural networks, a rule-based expert system and targeted manual coding for ICD-10 coding causes of death of French death certificates from 2018 to 2019 [0.03%]
结合深度神经网络、基于规则的专家系统和有针对性的手动编码，对2018至2019年法国死亡证明书中的ICD-10死因进行分类编码
Elisa Zambetta,Nirintsoa Razakamanana,Aude Robert et al.
Elisa Zambetta et al.
Objective: For ICD-10 coding causes of death in France in 2018 and 2019, predictions by deep neural networks (DNNs) are employed in addition to fully automatic batch coding by a rule-based expert system and to interactive...
Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications [0.03%]
医疗保健中的生成式人工智能：关于效益、挑战和应用的系统综述
Khadijeh Moulaei,Atiye Yadegari,Mahdi Baharestani et al.
Khadijeh Moulaei et al.
Background: Generative artificial intelligence (GAI) is revolutionizing healthcare with solutions for complex challenges, enhancing diagnosis, treatment, and care through new data and insights. However, its integration ra...
Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects [0.03%]
头颈肿瘤放射组学的现状和未来展望：基于人工智能的发展视角
Rasheed Omobolaji Alabi,Mohammed Elmusrati,Ilmo Leivo et al.
Rasheed Omobolaji Alabi et al.
Background: Radiomics is a rapidly growing field used to leverage medical radiological images by extracting quantitative features. These are supposed to characterize a patient's phenotype, and when combined with artificia...
Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review [0.03%]
自闭症情感识别传感器技术及机器学习方法系统评价研究
Oresti Banos,Zhoe Comas-González,Javier Medina et al.
Oresti Banos et al.
Background: Human Emotion Recognition (HER) has been a popular field of study in the past years. Despite the great progresses made so far, relatively little attention has been paid to the use of HER in autism. People with...
Corrigendum to "Machine learning-based speech recognition system for nursing documentation - A pilot study" [Int. J. Med. Inf. 178 (2023) 105213] [0.03%]
“基于机器学习的护理文档语音识别系统——一项初步研究”一文的勘误通知(International Journal of Medical Informatics, 2023, Vol. 178)
Tso-Ying Lee,Chin-Ching Li,Kuei-Ru Chou et al.
Tso-Ying Lee et al.
Electronic health records and e-prescribing in Australia: An exploration of technological utilisation in Australian community pharmacies [0.03%]
澳大利亚电子健康记录及电子处方在社区药房中的应用研究
Amina Hareem,Ieva Stupans,Joon Soo Park et al.
Amina Hareem et al.
Objective: This study aimed to assess the utilisation, benefits, and challenges associated with Electronic Health Records (EHR) and e-prescribing systems in Australian Community Pharmacies, focusing on their integration i...