Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand [0.03%]
利用机器学习和行政数据预测健康种族差异下的糖尿病并发症风险——以新西兰为例
Nhung Nghiem,Nick Wilson,Jeremy Krebs et al.
Nhung Nghiem et al.
Background: In the age of big data, linked social and administrative health data in combination with machine learning (ML) is being increasingly used to improve prediction in chronic disease, e.g., cardiovascular diseases...
Transfer learning-enabled outcome prediction for guiding CRRT treatment of the pediatric patients with sepsis [0.03%]
基于转移学习的儿科脓毒症患者连续肾替代治疗预后预测研究
Xiao-Qing Li,Rui-Quan Wang,Lian-Qiang Wu et al.
Xiao-Qing Li et al.
Continuous renal replacement therapy (CRRT) is a life-saving procedure for sepsis but the benefit of CRRT varies and prediction of clinical outcomes is valuable in efficient treatment planning. This study aimed to use machine learning (ML) ...
Coding rules for uncertain and "ruled out" diagnoses in ICD-10 and ICD-11 [0.03%]
ICD-10和ICD-11中不确定及“排除”诊断的编码规则
Oluseun O Atolagbe,Patrick S Romano,Danielle A Southern et al.
Oluseun O Atolagbe et al.
The International Classification of Diseases, 11th Revision (ICD-11) has significantly improved the ability to navigate coding challenges beyond prior iterations of the ICD. Commonly encountered sources of complexity in clinical documentati...
Skin lesion segmentation using deep learning algorithm with ant colony optimization [0.03%]
基于蚁群优化的深度学习算法的皮肤病变分割
Nadeem Sarwar,Asma Irshad,Qamar H Naith et al.
Nadeem Sarwar et al.
Background: Segmentation of skin lesions remains essential in histological diagnosis and skin cancer surveillance. Recent advances in deep learning have paved the way for greater improvements in medical imaging. The Hybri...
The application of machine learning for identifying frailty in older patients during hospital admission [0.03%]
机器学习在住院老年人虚弱评估中的应用研究
Yin-Yi Chou,Min-Shian Wang,Cheng-Fu Lin et al.
Yin-Yi Chou et al.
Background: Early identification of frail patients and early interventional treatment can minimize the frailty-related medical burden. This study investigated the use of machine learning (ML) to detect frailty in hospital...
Predictive model of prognosis index for invasive micropapillary carcinoma of the breast based on machine learning: a SEER population-based study [0.03%]
基于机器学习的乳腺侵袭性微乳头状癌预后指数预测模型的SEER人群研究
Zirong Jiang,Yushuai Yu,Xin Yu et al.
Zirong Jiang et al.
Background: Invasive micropapillary carcinoma (IMPC) is a rare subtype of breast cancer. Its epidemiological features, treatment principles, and prognostic factors remain controversial. ...
Correction: Machine learning-based prognostic model for 30-day mortality prediction in Sepsis-3 [0.03%]
纠正：基于机器学习的Sepsis-3序贯器官衰竭评分30天死亡率预测模型
Md Sohanur Rahman,Khandaker Reajul Islam,Johayra Prithula et al.
Md Sohanur Rahman et al.
Comparison of semi and fully automated artificial intelligence driven softwares and manual system for cephalometric analysis [0.03%]
基于人工智的半自动和全自动软件与手动系统头影测量分析比优性评估
Rumeesha Zaheer,Hafiza Zobia Shafique,Zahra Khalid et al.
Rumeesha Zaheer et al.
Background: Cephalometric analysis has been used as one of the main tools for orthodontic diagnosis and treatment planning. The analysis can be performed manually on acetate tracing sheets, digitally by manual selection o...
RegulEm, an unified protocol based-app for the treatment of emotional disorders: a parallel mixed methods usability and quality study [0.03%]
基于协议的应用程序RegulEm治疗情绪障碍：一种并行的混合方法使用性和质量研究
Laura Martínez-García,Alba Fadrique-Jiménez,Vanesa-Ferreres -Galán et al.
Laura Martínez-García et al.
Background: Interest in mental health smartphone applications has grown in recent years. Despite their effectiveness and advantages, special attention needs to be paid to two aspects to ensure app engagement: to include p...
Real-world data to support post-market safety and performance of embolization coils: evidence generation from a medical device manufacturer and data institute partnership [0.03%]
真实世界数据支持弹簧圈上市后安全性和性能的证据生成：医疗器械制造商和数据中心合作产生的证据
Amelia Hochreiter-Hufford,Jennifer Gatz,Amy M Griggs et al.
Amelia Hochreiter-Hufford et al.
Background: Recognizing the limitations of pre-market clinical data, regulatory authorities have embraced total product lifecycle management with post-market surveillance (PMS) data to assess medical device safety and per...