Juan C. Quiroz

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Liliana Laranjo, MD MPH PhDSydney Medical School, University of SydneyEmail yang diverifikasi di mail.harvard.edu
Enrico CoieraMacquarie UniversityEmail yang diverifikasi di mq.edu.au
A. Baki KocaballiSenior Lecturer, University of Technology SydneyEmail yang diverifikasi di uts.edu.au
Dana RezazadeganSenior Lecturer at Swinburne University of TechnologyEmail yang diverifikasi di swin.edu.au
Shlomo BerkovskyMacquarie UniversityEmail yang diverifikasi di mq.edu.au
HUONG LY TONGPhD researcher, University of SydneyEmail yang diverifikasi di uni.sydney.edu.au
Sergiu DascaluProfessor, Computer Science and Engineering, University of Nevada RenoEmail yang diverifikasi di cse.unr.edu
Sushil LouisProfessor of Computer Science and Engineering, University of Nevada, RenoEmail yang diverifikasi di cse.unr.edu
Amit BanerjeeAssociate Professor of Mechanical EngineeringEmail yang diverifikasi di psu.edu
Kiran IjazLecturer in Human-Computer Interaction, The University of SydneyEmail yang diverifikasi di sydney.edu.au
Blanca Gallego LuxanUniversity of New South Wales, AustraliaEmail yang diverifikasi di unsw.edu.au
Louisa JormProfessor and Director, Centre for Big Data Research in Health, UNSW AustraliaEmail yang diverifikasi di unsw.edu.au
Sidong LiuAustralian Institute of Health Innovation, Macquarie UniversityEmail yang diverifikasi di mq.edu.au
Elena GeanguUniversity of YorkEmail yang diverifikasi di york.ac.uk
Min Hooi YongAssociate Professor, University of BradfordEmail yang diverifikasi di bradford.ac.uk
Bruno HelenoAssistant Professor, Universidade Nova de LisboaEmail yang diverifikasi di nms.unl.pt
Ying WangCASIA;UPenn;Center for Health Informatics, Macquarie UniversityEmail yang diverifikasi di mq.edu.au
Long QianPeking UniversityEmail yang diverifikasi di pku.edu.cn
Mohammad Rezazadeh MehrjouPhD in Electrical Power Engineering, Farzan Pazhoohan Azma Co.Email yang diverifikasi di mutiara.upm.edu.my
Mahdi IzadiPhD of Electrical Power EngineeringEmail yang diverifikasi di upm.edu.my

Ikuti

Juan C. Quiroz

UNSW

Email yang diverifikasi di unsw.edu.au - Beranda

Digital health health informatics data science machine learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	314	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	277	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	165	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	127	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	98	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	94	2018
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	75	2020
Interactive genetic algorithms for user interface design JC Quiroz, SJ Louis, A Shankar, SM Dascalu 2007 IEEE congress on evolutionary computation, 1366-1373, 2007	74	2007
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	70	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	51	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	47	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	42	2020
Feature selection for activity recognition from smartphone accelerometer data JC Quiroz, A Banerjee, SM Dascalu, SL Lau Intelligent Automation & Soft Computing, 1-9, 2017	42	2017
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
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	37	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	33	2022

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