A5020995726- Diabetes Management and Research
- Diabetes and associated disorders
- Heart Rate Variability and Autonomic Control
- Business Process Modeling and Analysis
- COVID-19 epidemiological studies
- Neurological disorders and treatments
- Mosquito-borne diseases and control
- Simulation Techniques and Applications
- ECG Monitoring and Analysis
- Data-Driven Disease Surveillance
- AI-based Problem Solving and Planning
- Blood donation and transfusion practices
- Pancreatic function and diabetes
- Advanced Sensor and Energy Harvesting Materials
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Artificial Intelligence in Healthcare
- Manufacturing Process and Optimization
- Malaria Research and Control
- Semantic Web and Ontologies
- Non-Invasive Vital Sign Monitoring
- Emergency and Acute Care Studies
- COVID-19 diagnosis using AI
- Geriatric Care and Nursing Homes
- Muscle activation and electromyography studies
- Zoonotic diseases and public health
Texas A&M University
2002-2025
Mitchell Institute
2017-2024
University of Florida
2024
American Society For Engineering Education
2024
Yonsei University
2024
Texas A&M University – Central Texas
2022
Hamad bin Khalifa University
2021
Knowledge Based Systems (United States)
2002-2019
Texas A&M University System
2019
Abstract Since 2013, the Centers for Disease Control and Prevention (CDC) has hosted an annual influenza season forecasting challenge. The 2015–2016 challenge consisted of weekly probabilistic forecasts multiple targets, including fourteen models submitted by eleven teams. Forecast skill was evaluated using a modified logarithmic score. We averaged into mean ensemble model compared them against predictions based on historical trends. highest seasonal peak intensity short-term forecasts,...
Hypoglycemia is a serious health concern in youth with type 1 diabetes (T1D). Real-time data from continuous glucose monitoring (CGM) can be used to predict hypoglycemic risk, allowing patients take timely intervention measures.A machine learning model developed for probabilistic prediction of hypoglycemia (<70 mg/dL) 30- and 60-minute time horizons based on CGM datasets obtained 112 over range 90 days consisting 1.6 million values under normal living conditions. A comprehensive set features...
Diabetes is a large healthcare burden worldwide. There substantial evidence that lifestyle modifications and drug intervention can prevent diabetes, therefore, an early identification of high risk individuals important to design targeted prevention strategies. In this paper, we present automatic tool uses machine learning techniques predict the development type 2 diabetes mellitus (T2DM). Data generated from oral glucose tolerance test (OGTT) was used develop predictive model based on...
Major depressive disorder (MDD) has shown to negatively impact physical recovery in a variety of medical events (e.g., stroke and spinal cord injuries). Yet depression assessments, which are typically subjective nature, seldom considered develop or guide rehabilitation strategies. The present study developed predictive assessment technique using functional near-infrared spectroscopy (fNIRS) that can be rapidly integrated performed concurrently with existing tasks. Thirty-one volunteers,...
Abstract Mosquitos can be dangerous because they transfer viruses and parasites to animals humans. These harmful agents include West Nile, dengue, Zika, such as Malaria. For mosquito research, climate data environmental conditions used in studying the effect on breeding sites of mosquitoes population control. Microclimate monitored for better resolution analysis deeper understanding human lives. In order obtain microclimate data, a custom monitoring system has been development. This is based...
Background: Clinical guidelines on driving for people with diabetes exist, but there are limited studies analyzing glucose data and hypoglycemia risk while driving. No published have analyzed teenage or emerging adult drivers type 1 (T1D). The primary aim of our pilot study was to explore the glycemic patterns young T1D as they relate clinical identify trends that could be used improve road safety. Methods: In this study, we collected continuous monitoring (CGM) from five (median age 19,...
ROCKET T1D is a remote patient monitoring program created to empower youth with new-onset type 1 diabetes leverage emerging technology, improve self-management habits, and achieve their self-care goals. Youth in the improved key habits (e.g., premeal bolusing, device use, data review, dose adjustments) achieved improvements glycemic outcomes over course of program’s 3-month Launch phase.
Current methods to detect hypoglycemia in type 1 diabetes (T1D) require invasive sensors (ie, continuous glucose monitors, CGMs) that generally have low accuracy the hypoglycemic range. A forward-looking alternative is monitor physiological changes induced by can be measured non-invasively using, eg, electrocardiography (ECG). However, current extraction of fiduciary points ECG signal (eg, estimate QT interval), which challenging ambulatory settings. To address this issue, we present a...
Predictive alerts for impending hypoglycemic events enable persons with type 1 diabetes to take preventive actions and avoid serious consequences.
The impact of infectious disease on human populations is a function many factors including environmental conditions, vector dynamics, transmission mechanics, social and cultural behaviors, public policy. A comprehensive framework for management must fully connect the complete lifecycle, emergence from reservoir populations, zoonotic transmission, societies. Framework Infectious Disease Analysis software environment conceptual architecture data integration, situational awareness,...
The increasing range of Aedes aegypti, vector for Zika, dengue, chikungunya, and other viruses, has brought attention to the need understand population transmission dynamics this mosquito. It is well understood that environmental factors breeding site characteristics play a role in organismal development potential transmit pathogens. In study, we observe impact larval density combination with diurnal temperature on time pupation, emergence, mortality aegypti. Experiments were conducted at...
Gene drive systems have long been sought to modify mosquito populations and thus combat malaria dengue. Powerful gene developed in laboratory experiments, but may never be used practice unless they can shown acceptable through rigorous field-based testing. Such testing is complicated by the anticipated difficulty removing transgenes from nature. Here, we consider inclusion of self-elimination mechanisms into design homing-based transgenes. This approach not only caused excision transgene,...
Background: Monitoring glucose excursions is important in diabetes management. This can be achieved using continuous monitors (CGMs). However, CGMs are expensive and invasive. Thus, alternative low-cost noninvasive wearable sensors capable of predicting glycemic could a game changer to manage diabetes. Methods: In this article, we explore two sensor modalities, electrocardiograms (ECGs) accelerometers, collected on five healthy participants over weeks, predict both hypoglycemic hyperglycemic...
A scoping literature review was conducted to summarize the current research trends in fatigue identification with applications human activity recognition through use of diverse commercially available accelerometers. This paper also provides a brief overview heart rate variability and its effect on fatigue. The linkage between recognizing an individual’s unique physical activities, possible feedback manage levels were explored. Overall, triangulation accelerometer data show promise identify...
Mosquitoes transmit several infectious diseases that pose significant threat to human health. Temperature along with other environmental factors at breeding and resting locations play a role in the organismal development abundance of mosquitoes. Accurate analysis mosquito population dynamics requires information on microclimatic conditions locations. In this study, we develop regression model characterize temperature based ambient conditions. Data were collected by placing sensor loggers...
Characterizes the problem of multiple levels abstraction in simulation modeling and develops an approach that addresses problem. In this paper, we describe: (i) notion technical problems associated with abstraction, (ii) how abstractions affect different activities during process, (iii) a preliminary for addressing (iv) conceptual architecture environment implements proposed approach, (v) summary research on questions simulation.
Fatigue is defined as “a loss of force-generating capacity” in a muscle that can intensify tremor. Tremor quantification facilitate early detection fatigue onset so preventative or corrective controls be taken to minimize work-related injuries and improve the performance tasks require high-levels accuracy. We focused on developing system recognizes classifies voluntary effort detects phases fatigue. The experiment was designed extract evaluate hand-tremor data during both rest tasks. were...
Missing data is a common characteristic of many databases. In electronic medical records, missing in fields like ICD 9 (International Classification Diseases) impact the effective analysis results, procedures, environmental conditions, and demographics. The accurate labeling diseases records critical to all types epidemiological analyses that leverage health system data. Methods address this issue management systems would significantly enhance data's potential knowledge discovery...
OCCUPATIONAL APPLICATIONSA single wearable sensor (accelerometer) on the chest was employed to classify static and dynamic activities commonly observed in manual handling jobs. Utilizing only two features obtained from this sensor, 15 different simulated were classified with 93%–98% accuracy. The classification models developed here could be used objectively quantify workers’ tasks through course of their work shifts, thereby enabling more accurate efficient ergonomic assessments while...
Temperature profoundly affects various aspects of ectotherm biology. Notably, in mosquito species that spread viral diseases, temperature influences not only vector biology, but also the dynamics pathogen-vector interactions. However, research attempting to address role thermal environment disease transmission often employs constant temperatures, which do reflect natural diurnal fluctuations these organisms experience. Additionally, most studies focus on adult mosquitoes period following...
This paper describes an approach to design systems using computer simulation experiments. The distinguishing feature of the is develop a strategy that considers system robustness as major criterion. Motivated by Taguchi's methods robust products, our research investigates utility this systems. Explicit consideration upfront in process represents paradigm shift for methodologies. Consequently, results have poten tial significantly impact future simulation- based methods.
This paper presents an innovative methodology that combines simulation, data mining, and knowledge-based techniques to determine the near- long-term impacts of candidate aircraft engine maintenance decisions, particularly in terms life-cycle cost (LCC) operational availability. Simulation output is subjected mining analysis understand system behavior subsystem interactions factors influencing metrics. The insights obtained through this exercise are then encapsulated as policies guidelines...