Search Results - "Quiroz, Juan C"
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1
Extract, transform, load framework for the conversion of health databases to OMOP
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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2
Assessing the effectiveness of empirical calibration under different bias scenarios
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
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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4
A personalized mobile app for physical activity: An experimental mixed-methods study
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
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
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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7
Age-stratified predictions of suicide attempts using machine learning in middle and late adolescence
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
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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9
The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review
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
Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression
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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11
Fault detection of broken rotor bar in LS-PMSM using random forests
Published in Measurement : journal of the International Measurement Confederation (01-02-2018)“…•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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Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners
Published in Journal of the American Medical Informatics Association : JAMIA (01-11-2020)“…Abstract Objective The study sought to understand the potential roles of a future artificial intelligence (AI) documentation assistant in primary care…”
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13
Factors associated with electroconvulsive therapy treatment for adults with serious psychiatric conditions in Australia
Published in Australian and New Zealand journal of psychiatry (01-09-2024)“…Objective: To identify factors associated with receiving electroconvulsive therapy (ECT) for serious psychiatric conditions. Methods: Retrospective…”
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14
A Mobile Social Networking App for Weight Management and Physical Activity Promotion: Results From an Experimental Mixed Methods Study
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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15
Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study
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
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
Published in Journal of the American Medical Informatics Association : JAMIA (01-10-2019)“…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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18
Empirical analysis of Zipf’s law, power law, and lognormal distributions in medical discharge reports
Published in International journal of medical informatics (Shannon, Ireland) (01-01-2021)“…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
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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Machine-learning versus traditional approaches for atherosclerotic cardiovascular risk prognostication in primary prevention cohorts: a systematic review and meta-analysis
Published in European heart journal. Quality of care & clinical outcomes (21-06-2023)“…Abstract Background Cardiovascular disease (CVD) risk prediction is important for guiding the intensity of therapy in CVD prevention. Whilst current risk…”
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