A5073753404- Physical Activity and Health
- Context-Aware Activity Recognition Systems
- Frailty in Older Adults
- Machine Learning in Healthcare
- Mobile Health and mHealth Applications
- Cardiac, Anesthesia and Surgical Outcomes
- Urban Transport and Accessibility
- Mechanical Circulatory Support Devices
- Hip and Femur Fractures
- Transplantation: Methods and Outcomes
- Nutrition and Health in Aging
- Topic Modeling
- Older Adults Driving Studies
- Artificial Intelligence in Healthcare
- Health disparities and outcomes
- Sarcoidosis and Beryllium Toxicity Research
- Cardiac Structural Anomalies and Repair
- Atrial Fibrillation Management and Outcomes
- Sleep and related disorders
- Digital Mental Health Interventions
- Artificial Intelligence in Healthcare and Education
- Non-Invasive Vital Sign Monitoring
- Climate Change and Health Impacts
- Telemedicine and Telehealth Implementation
- Obstructive Sleep Apnea Research
University of Florida
2019-2024
Florida Department of Health
2023-2024
University of Florida Health
2020-2024
Florida College
2019-2024
Institute on Aging
2024
University of North Carolina at Charlotte
2016-2017
American University of Sharjah
2012-2014
University of Cyprus
2013
Chinese University of Hong Kong
2013
Applied Multilayers (United Kingdom)
2013
The traditional electrical power grid is currently evolving into the smart grid.Smart integrates with information and communication technologies (ICT).Such integration empowers utilities providers consumers, improves efficiency availability of system while constantly monitoring, controlling managing demands customers.A a huge complex network composed millions devices entities connected each other.Such massive comes many security concerns vulnerabilities.In this paper, we survey latest on...
Research has shown the feasibility of human activity recognition using wearable accelerometer devices. Different studies have used varying numbers and placements for data collection sensors.
Background Smartwatches enable physicians to monitor symptoms in patients with knee osteoarthritis, their behavior, and environment. Older adults experience fluctuations pain related (mood, fatigue, sleep quality) that smartwatches are ideally suited capture remotely a convenient manner. Objective The aim of this study was evaluate satisfaction, usability, compliance using the real-time, online assessment mobility monitoring (ROAMM) mobile app designed for individuals osteoarthritis. Methods...
Hospital-acquired pneumonia (HAP) and ventilator-associated (VAP) are the most common intensive care unit (ICU) infections. We aimed to evaluate association of early cumulative beta-lactam pharmacokinetic/pharmacodynamic (PK/PD) parameters with therapy outcomes in pneumonia. Adult ICU patients who received cefepime, meropenem, or piperacillin-tazobactam for HAP VAP had its concentration measured were included. Beta-lactam exposure was generated every patient entire duration therapy, time...
Abstract Objective This study aimed to develop a natural language processing algorithm (NLP) using machine learning (ML) techniques identify and classify documentation of preoperative cannabis use status. Materials Methods We developed applied keyword search strategy status in clinical within 60 days surgery. manually reviewed matching notes each into 8 different categories based on context, time, certainty documentation. 2 conventional ML 3 deep models against manual annotation. externally...
Cannabis use is increasing among older adults, but its impact on postoperative pain outcomes remains unclear in this population. We examined the association between cannabis and levels opioid doses within 24 hours of surgery.
Older adults who experience pain are more likely to reduce their community and life-space mobility (ie, the usual range of places in an environment which a person engages). However, there is significant day-to-day variability experiences that offer unique insights into consequences on mobility, not well understood. This complex cannot be captured with traditional recall-based surveys. As solution, ecological momentary assessments record repeated throughout day natural environment.The aim...
Introduction Artificial intelligence can recognize complex patterns in large datasets. It is a promising technology to advance heart failure practice, as many decisions rely on expert opinions the absence of high-quality data-driven evidence. Methods We searched Embase, Web Science, and PubMed databases for articles containing “artificial intelligence,” “machine learning,” or “deep learning” any phrases “heart transplantation,” “ventricular assist device,” “cardiogenic shock” from inception...
Intra-aortic balloon pump (IABP) and Impella device utilization as a bridge to heart transplantation (HTx) have risen exponentially. We aimed explore the influence of selection on HTx outcomes, considering regional practice variation.A retrospective longitudinal study was performed United Network for Organ Sharing (UNOS) registry dataset. included adult patients listed between October 2018 April 2022 status 2, justified by requiring IABP or support. The primary end-point successful bridging...
ObjectiveExisting medical care for peripheral arterial disease, aortic aneurysms, and other forms of non-coronary vascular disease fails to integrate mobility, pain levels, real-time patient-generated health data, instead relying on formal hospital- or clinic-based evaluations. Wearable technology, such as smartwatches, is increasingly common offers a opportunity improve by allowing the collection use these types data.MethodsWe searched English language publications in MEDLINE reviewed some...
Frequent spontaneous facial self-touches, predominantly during outbreaks, have the theoretical potential to be a mechanism of contracting and transmitting diseases. Despite recent advent vaccines, behavioral approaches remain an integral part reducing spread COVID-19 other respiratory illnesses. The aim this study was utilize functionality smartwatches develop smartwatch application identify motion signatures that are mapped accurately face touching. Participants (n = 10, five women, aged...
Healthcare spending has been increasing in the last few decades. One of main reasons for this increase is hospital readmissions, which defined as a re-hospitalization patient after being discharged from within short period time. The excessive amount money spent every year on readmissions and urge to enhance healthcare quality make reducing necessity. In paper, we extract knowledge medical dataset apply concept mining actionable rules guide health domain experts their decision-making process....
Little is known about the prevalence, clinical characteristics and impact of hypothyroidism in patients with sarcoidosis. We aimed to determine prevalence features its relation organ involvement other manifestations conducted a national registry-based study investigating 3835 respondents Sarcoidosis Advanced Registry for Cures Questionnaire between June 2014 August 2019. This registry based on self-reported, web-based questionnaire that provides data related demographics, diagnostics,...
Obstructive Sleep Apnea (OSA) is a common sleep disorder which characterized by recurrent blockage of the upper airway, often resulting in oxygen desaturation. Attended overnight polysomnography (PSG) has been recommended as golden standard for diagnostic OSA at hospitals, requires an expensive attended stay hospital with considerable wiring between PSG device and human body. In this work, we implement reliable, comfortable, inexpensive, easily available portable that allows users to apply...
Accelerometer-based fitness trackers and smartwatches are proliferating with incessant attention towards health tracking. Despite their growing popularity, accurately measuring hallmark measures of physical activities has yet to be accomplished in adults all ages. In this work, we evaluated the performance four machine learning models: decision tree, random forest, extreme gradient boosting (XGBoost) least absolute shrinkage selection operator (LASSO), estimate young (20-50 years),...
Early detection of mobility decline is critical to prevent subsequent reductions in quality life, disability, and mortality. However, traditional approaches assessment are limited their ability capture daily fluctuations that align with sporadic health events. We aim describe findings from a pilot study our Real-time Online Assessment Mobility Monitor (ROAMM) smartwatch application, which uniquely captures multiple streams data real time ecological settings. Data come sample 31 participants...
Cannabis use is associated with higher intravenous anesthetic administration. Similar data regarding inhalational anesthetics are limited. With rising cannabis prevalence, understanding any potential relationship dosing crucial. Average intraoperative isoflurane or sevoflurane minimum alveolar concentration equivalents between older adults and without were compared.
This study aimed to develop and validate predictive models using electronic health records (EHR) data determine whether hospitalized COVID-19-positive patients would be admitted alternative medical care or discharged home.We conducted a retrospective cohort deidentified from the University of Florida Health Integrated Data Repository. The included 1,578 adult (≥18 years) who tested positive for COVID-19 while hospitalized, comprising 960 (60.8%) female with mean (SD) age 51.86 (18.49) years...