Increasing efficiency of SVMp+ for handling missing values in healthcare prediction [0.03%]
提高SVMp+在医疗预测中处理缺失值的效率
Yufeng Zhang,Zijun Gao,Emily Wittrup et al.
Yufeng Zhang et al.
Missing data presents a challenge for machine learning applications specifically when utilizing electronic health records to develop clinical decision support systems. The lack of these values is due in part to the complex nature of clinica...
AutoPrognosis 2.0: Democratizing diagnostic and prognostic modeling in healthcare with automated machine learning [0.03%]
AutoPrognosis 2.0：使用自动机器学习在医疗保健中实现诊断和预测模型的民主化
Fergus Imrie,Bogdan Cebere,Eoin F McKinney et al.
Fergus Imrie et al.
Diagnostic and prognostic models are increasingly important in medicine and inform many clinical decisions. Recently, machine learning approaches have shown improvement over conventional modeling techniques by better capturing complex inter...
James L Denison-Day,Sarah Muir,Ciaran Newell et al.
James L Denison-Day et al.
Digital interventions are increasingly recognised as cost-effective treatment solutions for a number of health concerns, but adoption and use of these interventions can be low, affecting outcomes. This research sought to identify how indivi...
Bias in artificial intelligence algorithms and recommendations for mitigation [0.03%]
人工智能算法中的偏见及缓解建议
Lama H Nazer,Razan Zatarah,Shai Waldrip et al.
Lama H Nazer et al.
The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such algorithms may be shaped by various factors such as social determinants of health that can influence health outcomes. While AI algorithms have...
Virtual reality as a means to explore assistive technologies for the visually impaired [0.03%]
虚拟现实：探索视障人士辅助技术的手段
Fabiana Sofia Ricci,Alain Boldini,Xinda Ma et al.
Fabiana Sofia Ricci et al.
Visual impairment represents a significant health and economic burden affecting 596 million globally. The incidence of visual impairment is expected to double by 2050 as our population ages. Independent navigation is challenging for persons...
A qualitative assessment of the perceived acceptability and feasibility of eHARTS, a mobile application for transition readiness assessment for adolescents living with HIV in South Africa [0.03%]
在南非青少年中进行的一项定性评估：针对艾滋病病毒感染青少年过渡准备情况的移动应用程序eHARTS的可接受性和可行性感知状况
Messaline F Fomo,John Newman,Thobekile Sibaya et al.
Messaline F Fomo et al.
South Africa has the highest burden of adolescents living with HIV (ALHIV) in the world. The transition from pediatric to adult centered HIV care is a vulnerable period during which many clinical outcomes of ALHIV suffer. Transition readine...
Classification of blood pressure during sleep impacts designation of nocturnal nondipping [0.03%]
睡眠血压分类影响夜间非勺型血压模式的判定
Bobak J Mortazavi,Josefa L Martinez-Brockman,Baylah Tessier-Sherman et al.
Bobak J Mortazavi et al.
The identification of nocturnal nondipping blood pressure (< 10% drop in mean systolic blood pressure from awake to sleep periods), as captured by ambulatory blood pressure monitoring, is a valuable element of risk prediction for cardiovasc...
Can the application of machine learning to electronic health records guide antibiotic prescribing decisions for suspected urinary tract infection in the Emergency Department? [0.03%]
机器学习在电子健康记录的应用能否指导急诊科医生针对疑似泌尿道感染的抗生素处方决策？
Patrick Rockenschaub,Martin J Gill,Dave McNulty et al.
Patrick Rockenschaub et al.
Urinary tract infections (UTIs) are a major cause of emergency hospital admissions, but it remains challenging to diagnose them reliably. Application of machine learning (ML) to routine patient data could support clinical decision-making. W...
Improving outcomes for children with malaria, diarrhoea and pneumonia in Mozambique: A cluster randomised controlled trial of the inSCALE technology innovation [0.03%]
利用inSCALE技术创新改善莫桑比克儿童疟疾、腹泻和肺炎的治疗结果：集群随机对照试验
Seyi Soremekun,Karin Källander,Raghu Lingam et al.
Seyi Soremekun et al.
Background: The majority of post-neonatal deaths in children under 5 are due to malaria, diarrhoea and pneumonia (MDP). The WHO recommends integrated community case management (iCCM) of these conditions using community-ba...
Improving community health worker treatment for malaria, diarrhoea, and pneumonia in Uganda through inSCALE community and mHealth innovations: A cluster randomised controlled trial [0.03%]
通过inSCALE社区和移动卫生创新改进乌干达基层卫生工作者对疟疾、腹泻和肺炎的治疗：集群随机对照试验
Karin Källander,Seyi Soremekun,Daniel Ll Strachan et al.
Karin Källander et al.
The inSCALE cluster randomised controlled trial in Uganda evaluated two interventions, mHealth and Village Health Clubs (VHCs) which aimed to improve Community Health Worker (CHW) treatment for malaria, diarrhoea, and pneumonia within the n...