Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation [0.03%]
基于机器学习和可穿戴光电容积描记传感器的血糖评估与监测算法的设计与验证：评估并升高血糖水平
Bohan Shi,Satvinder Singh Dhaliwal,Marcus Soo et al.
Bohan Shi et al.
Background: Diabetes mellitus is the most challenging and fastest-growing global public health concern. Approximately 10.5% of the global adult population is affected by diabetes, and almost half of them are undiagnosed. ...
A Trainable Open-Source Machine Learning Accelerometer Activity Recognition Toolbox: Deep Learning Approach [0.03%]
一种可训练的开源机器学习加速计活动识别工具箱：深度学习方法
Fluri Wieland,Claudio Nigg
Fluri Wieland
Background: The accuracy of movement determination software in current activity trackers is insufficient for scientific applications, which are also not open-source. ...
Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study [0.03%]
基于深度学习的腹部CT扫描胰腺囊性病变检测技术的研发与验证研究
Maria Montserrat Duh,Neus Torra-Ferrer,Meritxell Riera-Marín et al.
Maria Montserrat Duh et al.
Background: Pancreatic cystic lesions (PCLs) are frequent and underreported incidental findings on computed tomography (CT) scans and can evolve to pancreatic cancer-the most lethal cancer, with less than 5 months of life...
Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach [0.03%]
尼日利亚HIV患者治疗中断的预测：机器学习方法
Matthew-David Ogbechie,Christa Fischer Walker,Mu-Tien Lee et al.
Matthew-David Ogbechie et al.
Background: Antiretroviral therapy (ART) has transformed HIV from a fatal illness to a chronic disease. Given the high rate of treatment interruptions, HIV programs use a range of approaches to support individuals in adhe...
Chanjung Lee,Brian Jo,Hyunki Woo et al.
Chanjung Lee et al.
Background: Chronic disease management is a major health issue worldwide. With the paradigm shift to preventive medicine, disease prediction modeling using machine learning is gaining importance for precise and accurate m...
Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient? [0.03%]
医疗保健领域的人工智能算法：现行食品药品监督管理是否足够？
Meghavi Mashar,Shreya Chawla,Fangyue Chen et al.
Meghavi Mashar et al.
Given the growing use of machine learning (ML) technologies in health care, regulatory bodies face unique challenges in governing their clinical use. Under the regulatory framework of the Food and Drug Administration, approved ML algorithms...
Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab Emirates [0.03%]
机器学习模型与国家早期预警评分系统在预测病情恶化方面的对比：阿拉伯联合酋长国的回顾性队列研究
Hazem Lashen,Terrence Lee St John,Y Zaki Almallah et al.
Hazem Lashen et al.
Background: Early warning score systems are widely used for identifying patients who are at the highest risk of deterioration to assist clinical decision-making. This could facilitate early intervention and consequently i...
Introducing JMIR AI [0.03%]
JMIR人工智能期刊揭牌
Khaled El Emam,Bradley Malin
Khaled El Emam
JMIR AI is a new journal with a focus on publishing applied artificial intelligence and machine learning research. This editorial provides an overview of the primary objectives, the focus areas of the journal, and the types of articles that...
Editorial
JMIR AI. 2022 Sep 20;1(1):e42046. DOI:10.2196/42046 2022
Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework [0.03%]
基于诊断编码的患者嵌入在医疗保健预测任务中的应用：Pat2Vec机器学习框架
Edgar Steiger,Lars Eric Kroll
Edgar Steiger
Background: In health care, diagnosis codes in claims data and electronic health records (EHRs) play an important role in data-driven decision making. Any analysis that uses a patient's diagnosis codes to predict future o...
Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach [0.03%]
利用修正德尔菲法制定伦理和公平原则、条件及参与工具以推进人工智能和机器学习的健康公平性和研究人员多样性
Rachele Hendricks-Sturrup,Malaika Simmons,Shilo Anders et al.
Rachele Hendricks-Sturrup et al.
Background: Artificial intelligence (AI) and machine learning (ML) technology design and development continues to be rapid, despite major limitations in its current form as a practice and discipline to address all sociohu...