Juan C. Quiroz

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Coauteurs

Liliana Laranjo, MD MPH PhDSydney Medical School, University of SydneyAdresse e-mail validée de mail.harvard.edu
Enrico CoieraMacquarie UniversityAdresse e-mail validée de mq.edu.au
A. Baki KocaballiSenior Lecturer, University of Technology SydneyAdresse e-mail validée de uts.edu.au
Dana RezazadeganSenior Lecturer at Swinburne University of TechnologyAdresse e-mail validée de swin.edu.au
Shlomo BerkovskyMacquarie UniversityAdresse e-mail validée de mq.edu.au
HUONG LY TONGPhD researcher, University of SydneyAdresse e-mail validée de uni.sydney.edu.au
Sergiu DascaluProfessor, Computer Science and Engineering, University of Nevada RenoAdresse e-mail validée de cse.unr.edu
Sushil LouisProfessor of Computer Science and Engineering, University of Nevada, RenoAdresse e-mail validée de cse.unr.edu
Amit BanerjeeAssociate Professor of Mechanical EngineeringAdresse e-mail validée de psu.edu
Louisa JormProfessor and Director, Centre for Big Data Research in Health, UNSW AustraliaAdresse e-mail validée de unsw.edu.au
Blanca Gallego LuxanUniversity of New South Wales, AustraliaAdresse e-mail validée de unsw.edu.au
Kiran IjazLecturer in Human-Computer Interaction, The University of SydneyAdresse e-mail validée de sydney.edu.au
Anil ShankarHuman-Computer Interaction (HCI) ResearchAdresse e-mail validée de cse.unr.edu
Sidong LiuAustralian Institute of Health Innovation, Macquarie UniversityAdresse e-mail validée de mq.edu.au
Elena GeanguUniversity of YorkAdresse e-mail validée de york.ac.uk
Min Hooi YongAssociate Professor, University of BradfordAdresse e-mail validée de bradford.ac.uk
Bruno HelenoAssistant Professor, Universidade Nova de LisboaAdresse e-mail validée de nms.unl.pt
Ying WangCASIA;UPenn;Center for Health Informatics, Macquarie UniversityAdresse e-mail validée de mq.edu.au
Long QianPeking UniversityAdresse e-mail validée de pku.edu.cn
Mohammad Rezazadeh MehrjouPhD in Electrical Power Engineering, Farzan Pazhoohan Azma Co.Adresse e-mail validée de mutiara.upm.edu.my

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Juan C. Quiroz

UNSW

Adresse e-mail validée de unsw.edu.au - Page d'accueil

Digital health health informatics data science machine learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression L Laranjo, D Ding, B Heleno, B Kocaballi, JC Quiroz, HL Tong, ... British journal of sports medicine 55 (8), 422-432, 2021	304	2021
The personalization of conversational agents in health care: systematic review AB Kocaballi, S Berkovsky, JC Quiroz, L Laranjo, HL Tong, ... Journal of medical Internet research 21 (11), e15360, 2019	270	2019
Fault detection of broken rotor bar in LS-PMSM using random forests JC Quiroz, N Mariun, MR Mehrjou, M Izadi, N Misron, MAM Radzi Measurement 116, 273-280, 2018	164	2018
Challenges of developing a digital scribe to reduce clinical documentation burden JC Quiroz, L Laranjo, AB Kocaballi, S Berkovsky, D Rezazadegan, ... NPJ digital medicine 2 (1), 114, 2019	124	2019
Personalized mobile technologies for lifestyle behavior change: a systematic review, meta-analysis, and meta-regression HL Tong, JC Quiroz, AB Kocaballi, SCM Fat, KP Dao, H Gehringer, ... Preventive medicine 148, 106532, 2021	95	2021
Emotion-Recognition Using Smart Watch Sensor Data: Mixed-Design Study JC Quiroz, E Geangu, MH Yong JMIR Ment Health 5 (No. 3), 10.2196/10153, 2018	95	2018
Interactive genetic algorithms for user interface design JC Quiroz, SJ Louis, A Shankar, SM Dascalu 2007 IEEE congress on evolutionary computation, 1366-1373, 2007	75	2007
Envisioning an artificial intelligence documentation assistant for future primary care consultations: a co-design study with general practitioners AB Kocaballi, K Ijaz, L Laranjo, JC Quiroz, D Rezazadegan, HL Tong, ... Journal of the American Medical Informatics Association 27 (11), 1695-1704, 2020	72	2020
Responses of conversational agents to health and lifestyle prompts: investigation of appropriateness and presentation structures AB Kocaballi, JC Quiroz, D Rezazadegan, S Berkovsky, F Magrabi, ... Journal of medical Internet research 22 (2), e15823, 2020	69	2020
A model of creative design using collaborative interactive genetic algorithms A Banerjee, JC Quiroz, SJ Louis Design Computing and Cognition'08: Proceedings of the Third International …, 2008	58	2008
Development and validation of a machine learning approach for automated severity assessment of COVID-19 based on clinical and imaging data: retrospective study JC Quiroz, YZ Feng, ZY Cheng, D Rezazadegan, PK Chen, QT Lin, ... JMIR Medical Informatics 9 (2), e24572, 2021	53	2021
Co-evolving influence map tree based strategy game players C Miles, J Quiroz, R Leigh, SJ Louis 2007 IEEE Symposium on Computational Intelligence and Games, 88-95, 2007	52	2007
Efficacy of a mobile social networking intervention in promoting physical activity: quasi-experimental study HL Tong, E Coiera, W Tong, Y Wang, JC Quiroz, P Martin, L Laranjo JMIR mHealth and uHealth 7 (3), e12181, 2019	47	2019
Emotion-recognition using smart watch accelerometer data: Preliminary findings JC Quiroz, MH Yong, E Geangu Proceedings of the 2017 ACM International Joint Conference on Pervasive and …, 2017	44	2017
Conversational agents for health and wellbeing AB Kocaballi, JC Quiroz, L Laranjo, D Rezazadegan, R Kocielnik, L Clark, ... Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020	43	2020
Towards creative design using collaborative interactive genetic algorithms JC Quiroz, SJ Louis, A Banerjee, SM Dascalu 2009 IEEE congress on evolutionary computation, 1849-1856, 2009	42	2009
Feature selection for activity recognition from smartphone accelerometer data JC Quiroz, A Banerjee, SM Dascalu, SL Lau Intelligent Automation & Soft Computing, 1-9, 2017	41	2017
The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review K Kusuma, M Larsen, JC Quiroz, M Gillies, A Burnett, J Qian, M Torok Journal of psychiatric research 155, 579-588, 2022	40	2022
Machine-learning versus traditional approaches for atherosclerotic cardiovascular risk prognostication in primary prevention cohorts: a systematic review and meta-analysis W Liu, L Laranjo, H Klimis, J Chiang, J Yue, S Marschner, JC Quiroz, ... European Heart Journal-Quality of Care and Clinical Outcomes 9 (4), 310-322, 2023	35	2023
The use of mobile apps and fitness trackers to promote healthy behaviors during COVID-19: A cross-sectional survey HL Tong, C Maher, K Parker, TD Pham, AL Neves, B Riordan, CK Chow, ... PLOS Digital Health 1 (8), e0000087, 2022	35	2022

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