Assessment of machine learning algorithms in national data to classify the risk of self-harm among young adults in hospital: A retrospective study [0.03%]
基于国家数据评估机器学习算法在医院中分类年轻成人自伤风险中的应用：回顾性研究
Anmol Arora,Louis Bojko,Santosh Kumar et al.
Anmol Arora et al.
Background: Self-harm is one of the most common presentations at accident and emergency departments in the UK and is a strong predictor of suicide risk. The UK Government has prioritised identifying risk factors and devel...
Implications of use of different intraoperative ultrasound modalities during glioma surgery - A comparative study of factors affecting outcomes [0.03%]
术中应用不同超声模性进行胶质瘤手术的含义-影响结果因素的比较研究
Manoj Kumar,Aliasgar Moiyadi,Narayan Rangaraj et al.
Manoj Kumar et al.
Background: The main goal of glioma surgery is to remove the maximum amount of tumor without worsening the patient's neurological condition. Intraoperative ultrasound (US) imaging technologies (2D and 3D) are available to...
Transforming fatigue assessment: Smartphone-based system with digitized motor skill tests [0.03%]
基于智能手机的数字化疲劳评估系统
Elli Valla,Ain-Joonas Toose,Sven Nõmm et al.
Elli Valla et al.
Background: The condition of fatigue is a complex and multifaceted disorder that encompasses physical, mental, and psychological dimensions, all of which contribute to a decreased quality of life. Smartphone-based systems...
Engaging and informing patients: Health information technology use in community health centers [0.03%]
吸引并告知患者：社区医疗机构中的健康信息技术应用
Seongwon Choi,Thomas Powers
Seongwon Choi
Objective: This paper aims to address the relationship between the community health center (CHC) patient mix and the level of patient engagement health information technology (HIT) comprehensiveness. ...
Modified Needleman-Wunsch algorithm for trauma management performance evaluation [0.03%]
改进的 Needleman-Wunsch 算法在创伤救治效率评估中的应用研究
Blanca Larraga-García,Fernando Monforte-Escobar,Rubén Quintero Mínguez et al.
Blanca Larraga-García et al.
Background: Trauma injuries are one of the leading causes of death in the world, representing approximately 8 % of all deaths. Therefore, trauma management training is of great importance and new training courses have ari...
Adoption and use of various health information exchange methods for sending inside health information in US hospitals [0.03%]
美国医院内部健康信息交换的采纳和使用
Min Chen,Pouyan Esmaeilzadeh
Min Chen
Background: Hospitals may adopt various information transmission methods to participate in health information exchange (HIE) programs. However, even if they adopt multiple mechanisms, they may not actively use all of them...
Applying computer text mining algorithms for oversampling tumor mutation status in medical records for the NCI Patterns of Care studies [0.03%]
应用计算机文本挖掘算法对NCI治疗模式研究中的医学记录肿瘤突变状态进行过抽样
Benmei Liu,Jennifer Stevens,Gary Beverungen et al.
Benmei Liu et al.
Backgrounds: The National Cancer Institute (NCI) conducts Patterns of Care (POC) studies for selected cancer sites under a Congressional Mandate. These studies aim to collect treatment information beyond what is typically...
Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis [0.03%]
利用机器学习预测COVID-19患者预后：系统评价和荟萃分析
Ruiyao Chen,Jiayuan Chen,Sen Yang et al.
Ruiyao Chen et al.
Background: Accurate prediction of prognostic outcomes in patients with COVID-19 could facilitate clinical decision-making and medical resource allocation. However, little is known about the ability of machine learning (M...
Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis [0.03%]
基于智能手机的纵向分析在多发性硬化中的认知和步态之间的关系研究
Alzhraa A Ibrahim,Werner Adler,Heiko Gaßner et al.
Alzhraa A Ibrahim et al.
Background: Gait and cognition impairments are common problems among People with Multiple Sclerosis (PwMS). Previous studies have investigated cross-sectional associations between gait and cognition. However, there is a l...
A novel systematic pipeline for increased predictability and explainability of growth patterns in children using trajectory features [0.03%]
一种提高儿童生长模式预测性和解释性的轨迹特征的新系统管道方法
Paraskevi Massara,Lorena Lopez-Dominguez,Celine Bourdon et al.
Paraskevi Massara et al.
Objective: Longitudinal patterns of growth in early childhood are associated with health conditions throughout life. Knowledge of such patterns and the ability to predict them can lead to better prevention and improved he...