Search Results - "Quiroz, Juan C"

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    Extract, transform, load framework for the conversion of health databases to OMOP by Quiroz, Juan C, Chard, Tim, Sa, Zhisheng, Ritchie, Angus, Jorm, Louisa, Gallego, Blanca

    Published in PloS one (11-04-2022)
    “…Common data models standardize the structures and semantics of health datasets, enabling reproducibility and large-scale studies that leverage the data from…”
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    Journal Article
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    Assessing the effectiveness of empirical calibration under different bias scenarios by Hwang, Hon, Quiroz, Juan C, Gallego, Blanca

    Published in BMC medical research methodology (27-07-2022)
    “…Abstract Background Estimations of causal effects from observational data are subject to various sources of bias. One method for adjusting for the residual…”
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    Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT by Feng, You-Zhen, Liu, Sidong, Cheng, Zhong-Yuan, Quiroz, Juan C., Rezazadegan, Dana, Chen, Ping-Kang, Lin, Qi-Ting, Qian, Long, Liu, Xiao-Fang, Berkovsky, Shlomo, Coiera, Enrico, Song, Lei, Qiu, Xiao-Ming, Cai, Xiang-Ran

    Published in Information (Basel) (01-11-2021)
    “…Automatic severity assessment and progression prediction can facilitate admission, triage, and referral of COVID-19 patients. This study aims to explore the…”
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    A personalized mobile app for physical activity: An experimental mixed-methods study by Tong, Huong Ly, Quiroz, Juan C, Kocaballi, Ahmet Baki, Ijaz, Kiran, Coiera, Enrico, Chow, Clara K, Laranjo, Liliana

    Published in Digital health (2022)
    “…Objectives To investigate the feasibility of the be.well app and its personalization approach which regularly considers users’ preferences, amongst university…”
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    The Personalization of Conversational Agents in Health Care: Systematic Review by Kocaballi, Ahmet Baki, Berkovsky, Shlomo, Quiroz, Juan C, Laranjo, Liliana, Tong, Huong Ly, Rezazadegan, Dana, Briatore, Agustina, Coiera, Enrico

    Published in Journal of medical Internet research (07-11-2019)
    “…The personalization of conversational agents with natural language user interfaces is seeing increasing use in health care applications, shaping the content,…”
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    The use of mobile apps and fitness trackers to promote healthy behaviors during COVID-19: A cross-sectional survey by Tong, Huong Ly, Maher, Carol, Parker, Kate, Pham, Tien Dung, Neves, Ana Luisa, Riordan, Benjamin, Chow, Clara K, Laranjo, Liliana, Quiroz, Juan C

    Published in PLOS digital health (01-08-2022)
    “…To examine i) the use of mobile apps and fitness trackers in adults during the COVID-19 pandemic to support health behaviors; ii) the use of COVID-19 apps;…”
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    Age-stratified predictions of suicide attempts using machine learning in middle and late adolescence by Kusuma, Karen, Larsen, Mark, Quiroz, Juan C., Torok, Michelle

    Published in Journal of affective disorders (15-11-2024)
    “…Prevalence of suicidal behaviour increases rapidly in middle to late adolescence. Predicting suicide attempts across different ages would enhance our…”
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    Responses of Conversational Agents to Health and Lifestyle Prompts: Investigation of Appropriateness and Presentation Structures by Kocaballi, Ahmet Baki, Quiroz, Juan C, Rezazadegan, Dana, Berkovsky, Shlomo, Magrabi, Farah, Coiera, Enrico, Laranjo, Liliana

    Published in Journal of medical Internet research (09-02-2020)
    “…Conversational agents (CAs) are systems that mimic human conversations using text or spoken language. Their widely used examples include voice-activated…”
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    The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review by Kusuma, Karen, Larsen, Mark, Quiroz, Juan C., Gillies, Malcolm, Burnett, Alexander, Qian, Jiahui, Torok, Michelle

    Published in Journal of psychiatric research (01-11-2022)
    “…Research has posited that machine learning could improve suicide risk prediction models, which have traditionally performed poorly. This systematic review and…”
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  10. 10

    Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression by Tong, Huong Ly, Quiroz, Juan C., Kocaballi, A. Baki, Fat, Sandrine Chan Moi, Dao, Kim Phuong, Gehringer, Holly, Chow, Clara K., Laranjo, Liliana

    Published in Preventive medicine (01-07-2021)
    “…Given that the one-size-fits-all approach to mobile health interventions have limited effects, a personalized approach might be necessary to promote healthy…”
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    Fault detection of broken rotor bar in LS-PMSM using random forests by Quiroz, Juan C., Mariun, Norman, Mehrjou, Mohammad Rezazadeh, Izadi, Mahdi, Misron, Norhisam, Mohd Radzi, Mohd Amran

    “…•Supervised learning approach for detecting broken rotor bar faults in LS-PMSMs.•Features were extracted from the starting current of healthy and faulty…”
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    Factors associated with electroconvulsive therapy treatment for adults with serious psychiatric conditions in Australia by Chen, Timothy, Loo, Colleen, Salvador-Carulla, Luis, Jorm, Louisa R, Srasuebkul, Preeyaporn, Sara, Grant, Quiroz, Juan C, Gallego, Blanca

    “…Objective: To identify factors associated with receiving electroconvulsive therapy (ECT) for serious psychiatric conditions. Methods: Retrospective…”
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    A Mobile Social Networking App for Weight Management and Physical Activity Promotion: Results From an Experimental Mixed Methods Study by Laranjo, Liliana, Quiroz, Juan C, Tong, Huong Ly, Arevalo Bazalar, Maria, Coiera, Enrico

    Published in Journal of medical Internet research (08-12-2020)
    “…Smartphone apps, fitness trackers, and online social networks have shown promise in weight management and physical activity interventions. However, there are…”
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    Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study by Tong, Huong Ly, Coiera, Enrico, Tong, William, Wang, Ying, Quiroz, Juan C, Martin, Paige, Laranjo, Liliana

    Published in JMIR mHealth and uHealth (28-03-2019)
    “…Technological interventions such as mobile apps, Web-based social networks, and wearable trackers have the potential to influence physical activity; yet, only…”
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    Challenges of developing a digital scribe to reduce clinical documentation burden by Quiroz, Juan C., Laranjo, Liliana, Kocaballi, Ahmet Baki, Berkovsky, Shlomo, Rezazadegan, Dana, Coiera, Enrico

    Published in NPJ digital medicine (22-11-2019)
    “…Clinicians spend a large amount of time on clinical documentation of patient encounters, often impacting quality of care and clinician satisfaction, and…”
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    A network model of activities in primary care consultations by Kocaballi, Ahmet Baki, Coiera, Enrico, Tong, Huong Ly, White, Sarah J, Quiroz, Juan C, Rezazadegan, Fahimeh, Willcock, Simon, Laranjo, Liliana

    “…The objective of this study is to characterize the dynamic structure of primary care consultations by identifying typical activities and their…”
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    Empirical analysis of Zipf’s law, power law, and lognormal distributions in medical discharge reports by Quiroz, Juan C, Laranjo, Liliana, Tufanaru, Catalin, Kocaballi, Ahmet Baki, Rezazadegan, Dana, Berkovsky, Shlomo, Coiera, Enrico

    “…Medical discharge reports and subsections are best modeled by the truncated power law (with cut-off) and lognormal distributions. Bayesian nonparametric models…”
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    Predicting Adverse Outcomes Following Catheter Ablation Treatment for Atrial Flutter/Fibrillation by Quiroz, Juan C., Brieger, David, Jorm, Louisa R., Sy, Raymond W., Hsu, Benjumin, Gallego, Blanca

    Published in Heart, lung & circulation (01-04-2024)
    “…To develop prognostic survival models for predicting adverse outcomes after catheter ablation treatment for non-valvular atrial fibrillation (AF) and/or atrial…”
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