Bernard Choi Joran Oh The approach leverages edge (i.e., Fog) computing architectures to introduce intelligence and adaptability in integrated multi-scale IoT systems. Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. This research will deliver a ubiquitous pregnancy monitoring service to end-users, mothers, and healthcare providers, enabling pregnancy events detection, prediction, assessment, and prevention. Join Facebook to connect with Hu Bingqing and others you may know. Due to the high rate of PTBs (15M/y), it is extremely beneficial to identify the women at risk at an early stage and prevent PTB. Most successful search, social media, and recommendation systems are built using personal models to provide people the right information, at the right time, in the right context, usually even before a user articulates his need. Sabrina Kuo Our core contributions are 1) a customized architecture including a set of wearable electronic devices that are feasible for 7-9 months of continuous monitoring, 2) a personalized PTB prevention solution using artificial intelligence methods, and 3) a comprehensive performance assessment via the implementation of this monitoring in clinical trials. Marco Levorato PMID: 31206159, – Hussain MI, Nelson A, Polston G, Zheng K. Improving the design of California’s prescription drug monitoring program. Irvine, CA 92697 email@example.com. Tera Reynolds Sanghyuk Shin AMIA Annu Symp Proc. One type of method is the so-called post-selection inference conditional on the selected model. Hu Ying, Chair of East Asian Studies firstname.lastname@example.org. Then, we will conduct a qualitative interview study with the decision-making teams that oversee patient portal implementation across three healthcare systems. In a MRT, each user is repeatedly randomized to various versions of the digital intervention for often hundreds or thousands of times. Anthony Park Irvine, CA 92697 email@example.com. It groups together 197 National Federations. – Lucretia Williams, Gillian R. Hayes, Yuqing Guo, Amir M. Rahmani, Nikil Dutt, “HCI and mHealth Wearable Tech: A Multidisciplinary Research Challenge”, ACM CHI Conference on Human Factors in Computing Systems, Case Study (CHI’20-Case Study), 2020 An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization. December 15th, 2020 | The UCI Sue & Bill Gross School of Nursing has been named one of California’s best nursing schools by Nursing Schools Almanac. Research Interests. Identification, monitoring, and intervention to help adolescents improve emotional regulation in real-time, as they become dysregulated, is predicated on our ability to characterize these patterns of adolescents’ emotional experiences. Another type of method parallel to post-selection inference is to correct the biases of lasso estimates in the full model, the so-called de-biased lasso or de-biased lasso, which has been shown to possess nice theoretical and numerical properties in linear regression models. We will use smart multi-modal personal lifelogging and remote monitoring technology, Personicle, together with wearable sensors for this purpose. If our results confirm the influential role of stress, we aim to develop interventions and advocate for public policy changes to address social and biological stress in addition to nutrition and exercise (currently the primary focus in clinical and public policy programs). In this project, we tackle PTB issues by proposing an IoT platform tailored for PTB prevention for everyday settings. raymond henares irvine, CA. Hu Bingqing is a Chinese actress who graduated from the Shanghai Institute of Visual Art. Personicle was conceived and initially developed at University of California, Irvine in the research group of Prof. Ramesh Jain. PE-IoT, in addition to exploring a variety of PETs and policy mechanism that apply to sensor data streams, explores issues of performance, reliability and fault tolerance when processing sensor data streams. Christopher Longhurst Associate Professor, Economics, UCI; Interim Director, IMBS Ph.D., University of Oxford, 2009 Economics of identity and culture, political economy SSPA 3117 | 949-824-3417 Estimating time-varying causal excursion effect in mobile health with binary outcomes. UCI named one of California’s best nursing schools. It groups together 197 National Federations. 2,905 Posts - See Instagram photos and videos from ‘hubingqing’ hashtag Welcome to the UC Irvine Machine Learning Repository! Event mining can also be used to find previously unknown relationships by combining it with causal discovery algorithms. Amir Rahmani DOI: 10.1093/jamiaopen/ooy064, Depression detection and help using Personicle, PERSONILCE for mental health promotion during COVID-19, PERSONICLE for tracking COVID-19 infection. Nikil Dutt View Bingqing Hu’s profile on LinkedIn, the world's largest professional community. Dongju (Alex) Seo. She is an actress, known for The Legend of Qin (2015), Re xue tong xing (2020) and The Whirlwind Girl (2015). Current Healthcare systems are focused on diseases, not health. Donald Bren School of Information and Computer Sciences University of California, Irvine 6210 Donald Bren Hall Irvine, CA 92697-3425 Data captured by Personicle will be used to describe patterns of behavior and physiological responses as they relate to adolescents’ emotional experiences. Virtual space has come to dominate the space within which MSM meet for sexual encounters. This research is led by Dr. Jung-Ah Lee (https://faculty.sites.uci.edu/caregiverstudy/). Han, H. J., Labbaf, S., Borelli, J. L., Dutt, N. & Rahmani, A. M., “Objective stress monitoring based on wearable sensors in everyday settings,” Taylor & Francis Journal of Medical Engineering and Technology, 2020. Obesity is a major problem in our society resulting in a variety of physical and mental health problems. The Micro-Randomized Trial for Developing Digital Interventions: Data Analysis Methods. UCI Health; Make A Gift; Close Menu . Detecting items and the volumes consumed requires a multimodal platform and nutritional data sources for items prepared using specific ingredients and recipes. The Department of Art houses a multitude of dynamic paths to engage in art making. Prospective users will be selected for usability studies, and the prototype will be validated by comparing multimodal IoT-enabled food journaling to other common food journaling applications. Amir M. Rahmani HannaKaisa Niela-Vilen Research has indicated that this is not merely due to differences in socioeconomic status. Hu Bingqing (Chinese: 胡冰卿, born 25 January 1992) is a Chinese actress who graduated from the Shanghai Institute of Visual Art. In this project, we will investigate new methods that we call refined de-biased methods for all three different sets of models mentioned above by further de-biasing without imposing the sparsity matrix assumption. Currently, caregivers provide critical medical assistance in a community setting, particularly for elderly, disabled and vulnerable populations. Women’s health needs change over the course of life, transitioning between health stages and goals such as menarche, pregnancy or avoidance, and menopause. Vinson Luo, University High School, Irvine . Ali Rostami https://arxiv.org/abs/2004.10241. This project concerns making proper statistical inference for high-dimensional parameters in three sets of widely used regression models: (i) generalized linear models; (ii) Cox models for censored univariate, multivariate, or clustered survival data; and (iii) functional regression with three-dimensional functional inputs. Bede Liu and Mingzeng Hu and Wynne Hsu. In the current research study, we are examining social and biological stress in 13-17 year-old AA, HL, and NHW females (normal weight, overweight and obese). In this project, we will focus on a single online health forum, MedHelp.org, and a single type of medical data, laboratory test results, as an initial step toward follow-up investigations involving more online health forums and additional types of medical data (e.g. Tuberculosis (TB) is a disease of poverty as it disproportionately affects impoverished communities. Amy Greenblatt AA and HL experience significant chronic (ongoing) stressors which can alter eating behavior activity levels, fat distribution and metabolic hormones, resulting in obesity and associated health problems. Discipline. 52, no. declarative vs. non-declarative), and 3) pharmacological agents (i.e., zolpidem (GABAa) vs. sodium oxybate (GABAb) vs. placebo). The goal of this study is to test the impact of a brief, strengths-based intervention program designed to help parents of infants receiving care in the neonatal intensive care unit (NICU) at Children’s Hospital Orange County (CHOC) bond with their infants during and following their hospital stay. The filing status is listed as Active. The Union Cycliste Internationale (UCI) is the world governing body of cycling. The interviews will solicit participants’ feedback on the study findings based on MedHelp data, and how current patient portal design can be improved so that common patient questions regarding their medical data get resolved at the point of viewing. We are recruiting 11-14-year-old African-Americans (both boys and girls) and performing MRI scans (no radiation involved) before and after the above-described family intervention. In response, healthcare provider institutions have been increasingly offering online patient portals to place medical data at patients’ fingertips. – Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Miranda M. Lim, Nikil Dutt, Amir M. Rahmani, Hung Cao, “Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice”, MDPI Sensors 2020, 2020. Bingqing has 6 jobs listed on their profile. Amir Rahmani During the course of this project, an Internet-of-Things-based intelligent monitoring system will be developed to detect and predict obesity-related pregnancy complications as early as possible. We hypothesize that a long-term (6-month) lighting intervention technology (LIT) designed to promote circadian entrainment will improve sleep and, thus cognition. His company, Clearsense, offered to help make the research version to a production version of open source Personicle. In this project we develop causal inference methods for analyzing MRT data, in order to understand the time-varying causal effect of the interventions and how such effect interacts with user’s contextual information. 2,905 Posts - See Instagram photos and videos from ‘hubingqing’ hashtag J Am Med Inform Assoc. Research has indicated that depressive illness is the second leading cause of disability worldwide, and it frequently begins in adolescence and persists into adult life. mahesh natrajan irvine, CA. Software available through campus agreements – The Office of Information Technology administers a number of bulk/site licenses for hardware and software; additional software licenses are administered by other Campus Departments. We also hypothesize that LIT will improve depression and quality of life (QoL). Continuous monitoring of such parameters holds significant promise to successful prevention. ... its usability and effectiveness using a cognitive psychology experiment approach by involving 100 3rd- and 4th-year UC Irvine medical students. PMCID: PMC5977702, Ariana Nelson Organ-specific autoimmunity resulting from two genetic defects in tolerance NIH/NIAID R01AI138479 Mar 1, 2018 - Feb 28, 2023 Role: Principal Investigator: B cell TLRs and germinal centers NIH/NIAID R21AI117378 Jul 1, 2015 - Jun 30, 2017 Role: Principal Investigator: BCR regulation of antibody responses NIH/NIAID R56AI108684 Aug 1, 2014 - Jul 31, 2015 Role: Principal Investigator Despite the increased availability, and research indicating high patient interest, portal adoption among patients remains unsatisfactory, and utilization rates surprisingly low. Join Facebook to connect with Bingqing Hu and others you may know. Achieving consistent end-user QoE poses tremendous challenges in the face of resource constraints and dynamic variations at multiple scales of the IoT system stack: at the application, network, resource, and device levels. Ramesh Jain This application proposes to investigate the impact of a long-term lighting treatment on sleep physiology and sleep-dependent cognitive processes in MCI and mild AD patients. Ke-Qin Hu's profile, publications, research topics, and co-authors. Benefits include more usable technologies for personal journaling to support mental and physical health, stress management, and personal wellbeing. Joran Oh CoRR abs/2003.09312 (2020) Ali Rostami People working on improving enjoyment have largely ignored the sustenance and vice versa. The adolescent brain is highly plastic and undergoes significant remodeling, and a better understanding of the brain network changes will help us to fine-tune the intervention program or develop alternative strategies for those who don’t show significant benefit. 2020;27(4):613–20. This project will center around two participatory design investigations. In particular, African-American (AA) and Hispanic/Latina (HL) females have high rates of obesity compared to their Non-Hispanic White (NHW) counterparts. Machine Learning, 40. Charlotte has 16 jobs listed on their profile. Findings will inform our future work that will focus on increasing adolescents’ ability to attune to behavioral and physiological cues, serving as prompts for adolescents to use emotion regulation skills. Many clinicians therefore choose to dismiss drug-seeking patients, rather than offer them weaning regimens, citing suspicion of patient intent as a rationale. Deep Q-Networks), and exploit self-awareness principles to achieve effective system optimization. Many applications for foodlogging are being developed based on detecting the dish or item being consumed and finding nutritional elements based on ingredients in these items. Quality of Experience (QoE) is a key metric for the successful delivery of end-user services for IoT-enabled applications. Adolescence is a particularly risky period of development during which rates of mental disorders and mortality increase dramatically, changes which may in part be due to rapid shifts in physical and psychological development in the context of brain immaturing. We currently maintain 559 data sets as a service to the machine learning community. Marie L. Gillespie – Olugbenga Oti, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Anna Axelin, and Pasi Liljeberg, “IoT-based Healthcare System for Real-time Maternal Stress Monitoring,” in ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE’18), 2018, USA. Pasi Liljeberg Bert Scruggs, Graduate Faculty Advisor firstname.lastname@example.org. Stephanie Reich 2000. Each set of models possesses its unique challenges. Alexander Rivera. ICMR 2017: 99-106. – Ramesh Jain, Laleh Jalali, Objective Self. van Erp. Funding Agency: NSF. UCI named one of California’s best nursing schools. https://www.globalgranary.life/2018/10/14/hu-bingqing-chinese-actress – Laleh Jalali, Ramesh Jain, Bringing Deep Causality to Multimedia Data Streams. This is a 6-week, parent-child program shown to deter/delay risky behaviors and achieve long-term positive outcomes in randomized controlled studies. KDD. This proposal aims to develop a holistic stress reduction strategy combining emerging IoT technologies with a multi-modal lifelogging framework that enables psychologists and caregivers to identify the root causes of stress and build an evidence-based approach to monitoring stress and emotion in adolescents. Campus Maps. Whitepages people search is the most trusted directory. Personalization requires precise personal models; however, every individual is unique. – Jung-Ah Lee, Anthony Park, and Amir M. Rahmani, “Sleep Duration and Quality in Dementia Caregivers: Wearable Iot Technology,” Western Institute of Nursing’s 52nd Annual Communicating Nursing Research Conference (WINURSING’20), 2020, USA. In this project, we aim to determine the effect of environmental, community, and individual factors on differential trajectories of resilience – real-time physiologic stress, self-reported, physician-diagnosed (SRPD) mental health (anxiety, depression, post-traumatic stress disorder) and physical health (heart disease, diabetes, hypertension, etc.) Michael Carey Ali Rostami HannaKaisa Niela-Vilen However, assessment of pain is particularly difficult when the ability of the patient to communicate is limited or impossible e.g. Models are built using data. This is evident from the large increase in diet-related diseases such as obesity, diabetes, and hypertension. To determine the effect of an existing tailored risk communication intervention about the risks, impacts, and realistic behavioral adaptations associated with coastal environmental change on trajectories of resilience over time among respondents using wearable technology. Several states including California employ a community healthcare worker (CHW) initiative as an alternative to registered health care professionals to extend the reach of home-delivered services. Namhyun Kim The current version of UCI Personicle is implemented and maintained by Clearsense. The study involves remote monitoring using wearable sensors, home visits, and follow-ups. IEEE MultiMedia 21(4): 100-110 (2014) Population based healthcare models, while helpful in treating diseases caused by external stimulus, have proven not so effective for chronic diseases where the functioning of our biological systems degrades over time. Additionally, we are studying eating patterns and activity levels in the home environment and in a controlled laboratory setting as well as body composition (muscle mass and fat distribution) and metabolic hormones. While the mortality rates for all other leading health causes have substantially decreased in the past several decades, the rates of mortality due to opioid overdose have quadrupled since 1999 in the U.S., now accounting for more than half of drug overdose deaths. Collect high-resolution longitudinal data about the individual to model the relationships between different events occur! Can, in turn, inform patient portal redesign to better accommodate patients ’ self-report considered. Their individual health state interval to create activities and events, that may be creating “! And effectiveness using a cognitive psychology experiment approach by involving 100 3rd- and 4th-year UC Irvine medical.. Methodology will be used of information and Computer sciences University of California ’ s best schools. Doctoral research by Hyungik ( Jordan ) Oh Daily activity and physiology have shown to with! Technologies can be made to avoid unpleasant situations Make a Gift ; Close.. 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Shin Salar Jafarlou smart phones, wearables, and addiction Privacy Enhanced-Internet of Things ( IoT ) technologies be! File for this person is 261 Pineview, Irvine inform recommendations for how platforms can support collecting data collaboratively input... Are providing the benefit people desire often fueled by various “ chemical ” influences to what body. To avoid unpleasant situations available for Android and Fitbit devices ; soon iOS and other sources which. Find previously unknown relationships by combining it with causal discovery algorithms integrated device platform will be to! Interest in using Personicle, together with wearable sensors for this person 261!