Canada protocol: An ethical checklist for the use of artificial Intelligence in suicide prevention and mental health [0.03%]
加拿大协议：在自杀预防和精神健康中使用人工智能的道德检查表
Carl-Maria Mörch,Abhishek Gupta,Brian L Mishara
Carl-Maria Mörch
Realistic hair simulator for skin lesion images: A novel benchemarking tool [0.03%]
皮肤损伤图像的真实头发模拟器：一种新型评估工具
Mohamed Attia,Mohammed Hossny,Hailing Zhou et al.
Mohamed Attia et al.
Automated skin lesion analysis is one of the trending fields that has gained attention among the dermatologists and health care practitioners. Skin lesion restoration is an essential pre-processing step for lesion enhancements for accurate ...
Variable step dynamic threshold local binary pattern for classification of atrial fibrillation [0.03%]
用于房颤分类的可变步长动态阈值局部二值模式
Muhammad Yazid,Mahrus Abdur Rahman
Muhammad Yazid
Objective: In this paper, we proposed new methods for feature extraction in machine learning-based classification of atrial fibrillation from ECG signal. ...
Indoor location identification of patients for directing virtual care: An AI approach using machine learning and knowledge-based methods [0.03%]
用于指导虚拟护理的患者室内位置识别：一种使用机器学习和知识-based方法的AI方法
William Van Woensel,Patrice C Roy,Syed Sibte Raza Abidi et al.
William Van Woensel et al.
In a digitally enabled healthcare setting, we posit that an individual's current location is pivotal for supporting many virtual care services-such as tailoring educational content towards an individual's current location, and, hence, curre...
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records [0.03%]
使用拓扑数据分析和伪时间序列从电子健康记录中推断时间表型
Arianna Dagliati,Nophar Geifman,Niels Peek et al.
Arianna Dagliati et al.
Temporal phenotyping enables clinicians to better understand observable characteristics of a disease as it progresses. Modelling disease progression that captures interactions between phenotypes is inherently challenging. Temporal models th...
Domain expertise-agnostic feature selection for the analysis of breast cancer data [0.03%]
用于分析乳腺癌数据的非领域专业知识特征选择方法
Susanna Pozzoli,Amira Soliman,Leila Bahri et al.
Susanna Pozzoli et al.
Progress in proteomics has enabled biologists to accurately measure the amount of protein in a tumor. This work is based on a breast cancer data set, result of the proteomics analysis of a cohort of tumors carried out at Karolinska Institut...
Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study [0.03%]
处理分类医学研究中的混杂因素和异常值：以孤独症谱系障碍为例
Elisa Ferrari,Paolo Bosco,Sara Calderoni et al.
Elisa Ferrari et al.
Machine learning (ML) approaches have been widely applied to medical data in order to find reliable classifiers to improve diagnosis and detect candidate biomarkers of a disease. However, as a powerful, multivariate, data-driven approach, M...
Deep learning to find colorectal polyps in colonoscopy: A systematic literature review [0.03%]
深度学习在结肠镜检查中寻找结直肠息肉的系统文献综述
Luisa F Sánchez-Peralta,Luis Bote-Curiel,Artzai Picón et al.
Luisa F Sánchez-Peralta et al.
Colorectal cancer has a great incidence rate worldwide, but its early detection significantly increases the survival rate. Colonoscopy is the gold standard procedure for diagnosis and removal of colorectal lesions with potential to evolve i...
Implementation of an ontological reasoning to support the guideline-based management of primary breast cancer patients in the DESIREE project [0.03%]
DESIREE项目中基于本体论推理的支持初级乳腺癌患者指南管理的实现
Jacques Bouaud,Sylvia Pelayo,Jean-Baptiste Lamy et al.
Jacques Bouaud et al.
The DESIREE project has developed a platform offering several complementary therapeutic decision support modules to improve the quality of care for breast cancer patients. All modules are operating consistently with a common breast cancer k...
Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques [0.03%]
利用深度学习技术从单导联心电图信号中实现连续血压测量
Fen Miao,Bo Wen,Zhejing Hu et al.
Fen Miao et al.
Continuous blood pressure (BP) measurement is crucial for reliable and timely hypertension detection. State-of-the-art continuous BP measurement methods based on pulse transit time or multiple parameters require simultaneous electrocardiogr...