Substituting time spent in physical activity and sedentary time and its association with cardiovascular disease among northwest Chinese adults by Yutong Wang, Peiying Yang, Huimeng Liu, Suixia Cao, Jingchun Liu, Yating Huo, Kun Xu, Binyan Zhang, Mengchun Wang, Qian Huang, Chunlai Yang, Lingxia Zeng, Shaonong Dang, Baibing Mi

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Users’ views on the use of a smartwatch app to collect daily symptom data in individuals with multiple long-term conditions (Multimorbidity): A qualitative study by Cassandra Kenning, Peter Bower, Nicola Small, Syed Mustafa Ali, Benjamin Brown, Katherine Dempsey, Elaine Mackey, Brian McMillan, Caroline Sanders, Ilina Serafimova, Sabine N Van der Veer, William G Dixon, John McBeth

“…Aims To explore patient views of the acceptability of collecting daily patient-generated health data for three months using a smartwatch app. …”
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Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence by Youyang Qu, Lichuan Ma, Wenjie Ye, Xuemeng Zhai, Shui Yu, Yunfeng Li, David Smith

“…To enhance the precision of diagnosis, different participants in SHNs share health data that contain sensitive information. Therefore, the data exchange process raises privacy concerns, especially when the integration of health data from multiple sources (linkage attack) results in further leakage. …”
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Construction of a Complex System Based on Big Data for the Intelligent Service System of Youth Physical Health by Xinwen Li, Chao Song, Christine A. Rochester, Chaobing Yan

“…At this stage, people need a scientific physical health service system to help students understand their own health data, propose targeted exercise methods and health knowledge, and actively encourage and guide students to participate in physical exercise. …”
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Does syndromic surveillance assist public health practice in early detecting respiratory epidemics? Evidence from a wide Italian retrospective experience by Giovanni Corrao, Andrea Stella Bonaugurio, Giorgio Bagarella, Mauro Maistrello, Olivia Leoni, Danilo Cereda, Andrea Gori

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iDICss robustly predicts melanoma immunotherapy response by synergizing genomic and transcriptomic knowledge via independent component analysis by Jiayue Qiu, Nana Jin, Lixin Cheng, Chen Huang

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Discrepancies in reported results between trial registries and journal articles for AI clinical researchResearch in context by Zixuan He, Lan Yang, Xiaofan Li, Jian Du

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Anomalias na distribuição geográfica dos dados de saúde da bacia hidrográfica do Ribeirão Lindóia, zona norte do município de Londrina/PR by Paulo Rogério Araujo, José Paulo Peccinini Pinese

“…For Datasus information crossings and spatial organization of health data, the Philcarto software was used, highlighting Dengue fever, Viral Hepatitis and Meningitis attendance in the period from 2000 to 2004. …”
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Organ preservation, for rectal cancer: general overview of the latest data from phase III randomized trials by Syrine Ben Dhia, Damien Chauviere, Diana Mitrea, Renaud Schiappa, Tanguy Pace Loscos, Emmanuel Chamorey, David Baron

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Predictors and Significance of Readmission after Esophagogastric Surgery: A Nationwide Analysis by Richard PT Evans, MBBS, FRCS, Sivesh K Kamarajah, MBChB, MRCS, Felicity Evison, MSc, Xiaoxu Zou, PhD, Ben Coupland, MSci, Ewen A Griffiths, MD, FRCS

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The Effect of Resampling Techniques on Model Performance Classification of Maternal Health Risks by Nia Mauliza, Aisha Shakila Iedwan, Yoga Pristyanto, Anggit Dwi Hartanto, Arif Nur Rohman

“…Indonesia's maternal mortality rate was the second highest in ASEAN, reflecting the problem of class imbalance in maternal health data. This research aimed to improve prediction accuracy in the classification of pregnant women's diseases through the application of various resampling methods. …”
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ICU Admission, Invasive Mechanical Ventilation, and Mortality among Children and Adolescents Hospitalized for COVID-19 in a Private Healthcare System by Maria da Gloria Cruvinel Horta, Geraldo Jose Coelho Ribeiro, Nelson Otavio Beltrao Campos, Douglas Ribeiro de Oliveira, Lelia Maria de Almeida Carvalho, Karina de Castro Zocrato, Daniel Pitchon dos Reis, Mariana Ribeiro Fernandes, Ricardo Mesquita Camelo, Fernando Martin Biscione, Silvana Marcia Bruschi Kelles

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Obstructive Sleep Apnea Patients Having Surgery Are Less Associated with Glaucoma by Hsin-Yi Chen, Yue-Cune Chang, Che-Chen Lin, Fung-Chang Sung, Wen-Chi Chen

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Machine learning-based identification of proteomic markers in colorectal cancer using UK Biobank data by Swarnima Kollampallath Radhakrishnan, Dipanwita Nath, Dominic Russ, Dominic Russ, Dominic Russ, Laura Bravo Merodio, Laura Bravo Merodio, Laura Bravo Merodio, Priyani Lad, Folakemi Kola Daisi, Animesh Acharjee, Animesh Acharjee, Animesh Acharjee

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Spatial and temporal changes of breast-conserving surgery rates and its influential factors among Chinese patients with breast cancer from 2013 to 2019: a registry-based study by Pengpeng Ye, Yuan Yang, Wei Hu, Lingyan Dai, Erwei Song, Shunrong Li, Liling Zhu, Kai Chen, Yanjie Xu, Xiaoyu Wang, Jianli Zhao, Jianrong He, Queran Lin, Tongrui Shang, Xiujuan Gui, Ziliang Zhong, Qianru Chen, Qing Yan, Xiaoliang Huang, Zijian Liang

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Unraveling multimodality of digital health records by comparing mortality trajectories of diagnoses of diseases from over 12 million patients. by Hyojung Paik

“…Understanding the multimodality of digital health data, including the scope of death records, is essential for adequate data acquisition to build a research framework for the health sciences. …”
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An institutional framework to support ethical fair and equitable artificial intelligence augmented care by Steven Dykstra, Matthew MacDonald, Rhys Beaudry, Dina Labib, Melanie King, Yuanchao Feng, Jacqueline Flewitt, Jeff Bakal, Bing Lee, Stafford Dean, Marina Gavrilova, Paul W. M. Fedak, James A. White

“…Abstract Coordinated access to multi-domain health data can facilitate the development and implementation of artificial intelligence-augmented clinical decision support (AI-CDS). …”
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Emerging trends in cervical cancer incidence among younger Taiwanese generations: an urban–rural comparison by Ya-Xuan Wu, Yi-Chu Chen, Jing-Rong Jhuang, Chun-Ju Chiang, Wen-Chung Lee

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Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data by Alexia Giannoula, Audrey E. De Paepe, Ferran Sanz, Laura I. Furlong, Estela Camara

“…A Dynamic Time Warping-based unsupervised-clustering methodology is presented in this paper for the clustering of patient trajectories of multi-modal health data on the basis of shared temporal characteristics. …”
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Unmasking health determinants and health outcomes for urban First Nations using respondent-driven sampling by J Smylie, M Firestone, S Maracle, M Spiller, P O'Campo

“…Objective Population-based health information on urban Aboriginal populations in Canada is limited due to challenges with the identification of Aboriginal persons in existing health data sets. The main objective of the Our Health Counts (OHC) project was to work in partnership with Aboriginal stakeholders to generate a culturally relevant, representative baseline health data set for three urban Aboriginal communities in Ontario, Canada.Design Respondent-driven sampling (RDS).Setting Hamilton, Ontario, Canada.Participants The OHC study, in partnership with the De dwa da dehs ney >s Aboriginal Health Access Centre (DAHC), recruited 554 First Nations adults living in Hamilton using RDS.Results Among First Nations adults living in Hamilton, 78% earned less than $20 000 per year and 70% lived in the lowest income quartile neighbourhoods. …”
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