A5078950934- Financial Markets and Investment Strategies
- Context-Aware Activity Recognition Systems
- Corporate Finance and Governance
- Physical Activity and Health
- Mobile Health and mHealth Applications
- Market Dynamics and Volatility
- Health Systems, Economic Evaluations, Quality of Life
- Digital Mental Health Interventions
- Auditing, Earnings Management, Governance
- Mental Health Research Topics
- Impact of Technology on Adolescents
- Cancer survivorship and care
- Enhanced Recovery After Surgery
- Scoliosis diagnosis and treatment
- Stoma care and complications
- Sepsis Diagnosis and Treatment
- Amyotrophic Lateral Sclerosis Research
- Advanced Causal Inference Techniques
- Emergency and Acute Care Studies
- Respiratory Support and Mechanisms
- Body Contouring and Surgery
- Insurance and Financial Risk Management
- Facial Rejuvenation and Surgery Techniques
- Frailty in Older Adults
- Musculoskeletal pain and rehabilitation
California State University, Chico
2012-2024
Wake Forest University
2019-2024
Massachusetts General Hospital
2002-2019
Harvard University
2002-2019
Ariadne Diagnostics (United States)
2019
Johns Hopkins University
2016
Children's Hospital of Philadelphia
2013
University of Pennsylvania
2012-2013
Olive View-UCLA Medical Center
2012-2013
Los Angeles County Department of Health Services
2012-2013
Patient-generated health data captured from smartphone sensors have the potential to better quantify physical outcomes of surgery. The ability these discriminate between postoperative trends in activity remains unknown.To assess whether accelerometer can be used describe recovery among patients undergoing cancer operations.This prospective observational cohort study was conducted July 2017 April 2019 a single academic tertiary care hospital United States. Preoperatively, adults (age ≥18...
OBJECTIVES: Standard metrics for evaluating rapid response systems (RRSs) include cardiac and respiratory arrest rates. These events are rare in children; therefore, years of data needed to evaluate the impact RRSs with sufficient statistical power. We aimed develop a valid, pragmatic measure optimizing over shorter periods time. METHODS: reviewed 724 medical emergency team 56 code-blue activations children’s hospital between February 2010 2011. defined resulting ICU transfer noninvasive...
The ubiquity of personal digital devices offers unprecedented opportunities to study human behavior. Current state-of-the-art methods quantify physical activity using "activity counts," a measure which overlooks specific types activities. We propose walking recognition method for sub-second tri-axial accelerometer data, in classification is based on the inherent features walking: intensity, periodicity, and duration. validate our against 20 publicly available, annotated datasets data...
Passively collected smartphone sensor data provide an opportunity to study physical activity and mobility unobtrusively over long periods of time may enable disease monitoring in people with amyotrophic lateral sclerosis (PALS).
Passive measures collected using smartphones have been suggested to represent efficient proxies for depression severity, but the performance of such across diagnoses has not studied.
Physical activity, such as walking and ascending stairs, is commonly used in biomedical settings an outcome or covariate. Researchers have traditionally relied on surveys to quantify activity levels of subjects both research clinical settings, but are subjective nature known limitations, recall bias. Smartphones provide opportunity for unobtrusive objective measurement physical naturalistic their data tends be noisy needs analyzed with care. We explored the potential smartphone accelerometer...
In many randomized controlled trials, the primary analysis focuses on average treatment effect and does not address whether benefits are widespread or limited to a select few. This problem affects disease areas, since it stems from how often gold standard for evaluating treatments, designed analyzed. Our goal is learn about fraction who benefit new using trial data. We consider case where outcome ordinal, with binary outcomes as special case. general, non-identifiable, best that can be...
Physical activity patterns can reveal information about one's health status. Built-in sensors in a smartphone, comparison to patient's self-report, collect recognition data more objectively, unobtrusively, and continuously. A variety of analysis approaches have been proposed the literature. In this study, we applied movelet method classify activities performed using smartphone accelerometer gyroscope data, which measure phone's acceleration angular velocity, respectively. The constructs...
Previously reported cases of spontaneous rupture the kidney or ureter reflect underlying renal pathology and have been both spontaneously in relationship to delivery, but not relation other operative procedures. A 27-year-old woman at 19 weeks' gestation developed severe right flank pain operating room immediately prior cerclage placement. Postoperative ultrasound examination intravenous pyelogram performed evaluate persistent demonstrated pelvis rupture. No abnormality was present. We...
To determine the prevalence of clinically significant decision conflict (CSDC) among patients undergoing cancer surgery and associations with postoperative physical activity, as measured through smartphone accelerometer data.Patients face challenging treatment decisions, which may lead to CSDC. CSDC negatively affects patient-provider relationships, psychosocial functioning, health-related quality life; however, manifestations remain poorly characterized.Adult smartphone-owners for breast,...
Abstract The fraction who benefit from treatment is the proportion of patients whose potential outcome under better than that control. Inference on this parameter challenging since it only partially identifiable, even in our context a randomized trial. We propose new method for constructing confidence interval fraction, when ordinal or binary. Our procedure pointwise consistent. It does not require any assumptions about joint distribution outcomes, although has flexibility to incorporate...
BACKGROUND Medical emergency teams have been shown to reduce mortality in children's hospitals, but there are many potential barriers their activation. Surveillance tools using electronic health record data help identify children at risk of deterioration. Existing early warning scores primarily include vital signs, may benefit from the incorporation medications. OBJECTIVE We aimed therapeutic classes medications temporally associated with clinical deterioration that could be incorporated...
Abstract In acquisitions of private firms, new blockholders (NewBs) are expected to form when substantial stocks paid. Investors react strongly a NewB signal, given the perceived monitoring and certification benefits. However, they largely ignore value‐relevant but less salient signals, such as true quality acquisition. Investors' limited attention allows financially weak firms adopt strategy take speculative deals. Our results support this inattention hypothesis: acquirers weaker earn...
ViSi Mobile has the capability of monitoring a patient's posture continuously during hospitalization. Analysis telemetry data enables researchers and health care providers to quantify an individual movement investigate collective patterns many patients. However, erroneous values can exist in routinely collected data. Data must be scrutinized remove records before statistical analysis.
This article presents the comparisons of three aspects insurer investments in United States and China. For investment regulation, we summarize allocation limits specified U.S. Investments Insurers Model Act update China’s regulation to 2014 version. allocation, show year-by-year allocations various investable assets from 2005 2013 Chinese insurance industries. Finally, for performance, calculate yearly returns discuss rationale that contributed return fluctuation.
Background: Passively collected smartphone sensor data provides an opportunity to study physical activity and mobility unobtrusively over long periods of time may enable disease monitoring in people with ALS (PALS).Methods: Forty-five PALS were enrolled. The Beiwe application passively participants’ accelerometer GPS administered the self-entry Functional Rating Scale-Revised (ALSFRS-RSE) survey. We used a validated, open-source walking recognition method identify individual steps from...
The current study aimed to evaluate the validity and feasibility of using a multi-sensor device monitor patient mobility in large postoperative population.In this IRB-approved study, posture was recorded monitoring (ViSi Mobile®) compared with direct observations physical activity. Retrospective cohort analysis data from January December 2019 then performed. Patterns mobilization were evaluated.Multi-sensor real-time ViSi Mobile® system consistently differentiate between rest upright...
Activities, such as walking and sitting, are commonly used in biomedical settings either an outcome or covariate of interest. Researchers have traditionally relied on surveys to quantify activity levels subjects both research clinical settings, but not objective nature many known limitations, recall bias. Smartphones provide opportunity for unobtrusive measurement various activities naturalistic their data tends be noisy needs analyzed with care. We explored the potential smartphone...