A5070746797- Diabetes Management and Research
- Machine Learning in Healthcare
- Respiratory Support and Mechanisms
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Sepsis Diagnosis and Treatment
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Traumatic Brain Injury and Neurovascular Disturbances
- Pancreatic and Hepatic Oncology Research
- Electronic Health Records Systems
- Intensive Care Unit Cognitive Disorders
- Diabetes and associated disorders
- Time Series Analysis and Forecasting
- Artificial Intelligence in Healthcare
- Chaos control and synchronization
- Mobile Health and mHealth Applications
- Heart Rate Variability and Autonomic Control
- Pancreatitis Pathology and Treatment
- Cardiac Arrest and Resuscitation
- Diet and metabolism studies
- Healthcare Technology and Patient Monitoring
- Biomedical Text Mining and Ontologies
- Metabolomics and Mass Spectrometry Studies
- Quantum chaos and dynamical systems
- Mental Health Research Topics
- Pancreatic function and diabetes
University of Colorado Anschutz Medical Campus
2020-2025
University of Colorado Denver
2019-2025
Columbia University Irving Medical Center
2012-2025
Columbia University
2014-2024
Elisabeth-Krankenhaus Essen
2018-2024
Colorado School of Public Health
2024
University of Colorado System
2023
Penn Presbyterian Medical Center
2023
University of Duisburg-Essen
2021
Cornell University
2019
The national adoption of electronic health records (EHR) promises to make an unprecedented amount data available for clinical research, but the are complex, inaccurate, and frequently missing, record reflects complex processes aside from patient's physiological state. We believe that path forward requires studying EHR as object interest in itself, new models, learning data, collaboration will lead efficient use valuable information currently locked records.
Importance Sepsis is a leading cause of death among children worldwide. Current pediatric-specific criteria for sepsis were published in 2005 based on expert opinion. In 2016, the Third International Consensus Definitions and Septic Shock (Sepsis-3) defined as life-threatening organ dysfunction caused by dysregulated host response to infection, but it excluded children. Objective To update evaluate septic shock Evidence Review The Society Critical Care Medicine (SCCM) convened task force 35...
Importance The Society of Critical Care Medicine Pediatric Sepsis Definition Task Force sought to develop and validate new clinical criteria for pediatric sepsis septic shock using measures organ dysfunction through a data-driven approach. Objective To derive novel across differently resourced settings. Design, Setting, Participants Multicenter, international, retrospective cohort study in 10 health systems the US, Colombia, Bangladesh, China, Kenya, 3 which were used as external validation...
Objective Seizures have been implicated as a cause of secondary brain injury, but the systemic and cerebral physiologic effects seizures after acute injury are poorly understood. Methods We analyzed intracortical electroencephalographic (EEG) multimodality physiological recordings in 48 comatose subarachnoid hemorrhage patients to better characterize response injury. Results Intracortical were seen 38% patients, 8% had surface seizures. accompanied by elevated heart rate ( p = 0.001), blood...
Nurses alter their monitoring behavior as a patient's clinical condition deteriorates, often detecting and documenting subtle changes before physiological trends are apparent. It was hypothesized that nurse's of recording optional documentation (beyond what is required) reflects concern about status mining data from patients' electronic health records for the presence these features could help predict mortality.Data-mining methods were used to analyze nursing 15-month period at large, urban...
Type 2 diabetes leads to premature death and reduced quality of life for 8% Americans. Nutrition management is critical maintaining glycemic control, yet it difficult achieve due the high individual differences in response nutrition. Anticipating impact different meals can be challenging not only individuals with diabetes, but also expert educators. Personalized computational models that accurately forecast an a given meal on individual's blood glucose levels serve as engine new generation...
Nonconvulsive seizures (NCSz) are frequent following acute brain injury and have been implicated as a cause of secondary injury, but mechanisms that NCSz controversial. Proinflammatory states common after many injuries, inflammation-mediated changes in blood-brain barrier permeability experimentally linked to seizures.In this prospective observational study aneurysmal subarachnoid hemorrhage (SAH) patients, we explored the link between inflammatory response SAH in-hospital studying clinical...
Electronic health record (EHR) data show promise for deriving new ways of modeling human disease states. Although EHR researchers often use numerical values laboratory tests as features in models, a great deal information is contained the context within which test taken. For example, same value creatinine has different interpretation chronic kidney patient and with acute injury. We study whether research studies are subject to biased results interpretations if measurements taken contexts not...
Objective: Ventilator dyssynchrony is potentially harmful to patients with or at risk for the acute respiratory distress syndrome. Automated detection of ventilator from waveforms has been difficult. It unclear if certain types deliver large tidal volumes and whether levels sedation alter frequency dyssynchrony. Design: A prospective observational study. Setting: university medical ICU. Patients: Patients Interventions: Continuous pressure-time, flow-time, volume-time data were directly...
Fields like nonlinear physics offer methods for analyzing time series, but many require that the series be stationary-no change in properties over time.Objective Medicine is far from stationary, challenge may able to ameliorated by reparameterizing because clinicians tend measure patients more frequently when they are ill and likely vary.We compared parameterizations, measuring variability of rate magnitude change, looking homogeneity bins temporal separation between pairs points. We studied...
Abstract Electronic health record phenotyping is the use of raw electronic data to assert characterizations about patients. Researchers have been doing it since beginning biomedical informatics, under different names. Phenotyping will benefit from an increasing focus on fidelity, both in sense richness, such as measured levels, degree or severity, timing, probability, conceptual relationships, and reducing bias. Research agendas should shift merely improving binary assignment studying richer...
<h3>Objective</h3> Studies have independently shown associations of lower hemoglobin levels with larger admission intracerebral hemorrhage (ICH) volumes and worse outcomes. We investigated whether are associated more hematoma expansion (HE) after ICH this mediates levels9 association <h3>Methods</h3> Consecutive patients enrolled between 2009 2016 to a single-center prospective cohort study neuroimaging data calculate HE (>33% or >6 mL) were evaluated. The poor clinical outcomes using...
Ventilator dyssynchrony may be associated with increased delivered tidal volumes (V t s) and dynamic transpulmonary pressure (ΔP L,dyn ), surrogate markers of lung stress strain, despite low V ventilation. However, it is unknown which types ventilator are most likely to increase these metrics or if specific ventilation sedation strategies can mitigate this potential.
The authors examined cumulative arrests for the period of 1964-1973 psychiatric patients admitted to a state hospital in 1969 (286 men and 175 women) general population Wyoming. Male were arrested as often or more than individuals population. No diagnosed schizophrenic crimes against persons; one-fourth among alcoholics such crimes. Arrest rates women seemed parallel those population, although sample was too small definite conclusions. significantly less following dischanrge before hospitalization.
Objective To demonstrate that a large, heterogeneous clinical database can reveal fine temporal patterns in associations; to illustrate several types of and ascertain the value exploiting time.
Objective To study the relation between electronic health record (EHR) variables and healthcare process events. Materials methods Lagged linear correlation was calculated five events 84 EHR (24 clinical laboratory values 60 concepts extracted from notes) in a 24-year database. The were clustered for each event interpreted. Results Laboratory tests tended to cluster together note together. Within of those two classes, into clinically sensible groupings. exact groupings varied event, with...
The increasing availability of health data and knowledge about computationally modeling human physiology opens new opportunities for personalized predictions in health. Yet little is known how individuals interact reason with predictions. To explore these questions, we developed a smartphone app, GlucOracle, that uses self-tracking type 2 diabetes to generate forecasts post-meal blood glucose levels. We pilot-tested GlucOracle two populations: members an online community, knowledgeable...
There are signals of clinicians' expert and knowledge-driven behaviors within clinical information systems (CIS) that can be exploited to support prediction. Describe development the Healthcare Process Modeling Framework Phenotype Clinician Behaviors for Exploiting Signal Gain Clinical Expertise (HPM-ExpertSignals).
Forecasting blood glucose (BG) levels with routinely collected data is useful for glycemic management. BG dynamics are nonlinear, complex, and nonstationary, which can be represented by nonlinear models. However, the sparsity of creates parameter identifiability issues when high-fidelity complex models used, thereby resulting in inaccurate forecasts. One use reduced physiological fidelity robust accurate estimation forecasting sparse data. For this purpose, we approximate regulation a linear...
Diabetes is caused by the inability of electrically coupled, functionally heterogeneous β-cells within pancreatic islet to provide adequate insulin secretion. Functional networks have been used represent synchronized oscillatory [Ca2+] dynamics and study β-cell subpopulations, which play an important role in driving function. The mechanism highly subpopulations drive function unclear. We experimental computational techniques investigate relationship between functional networks, structural...
To use linked electronic medical and dental records to discover associations between periodontitis conditions independent of a priori hypotheses.This case-control study included 2475 patients who underwent treatment at the College Dental Medicine Columbia University NewYork-Presbyterian Hospital. Our cases are received periodontal our controls maintenance but no treatment. Chi-square analysis was performed for codes logistic regression used adjust confounders.Our method replicated several...
Abstract This article presents a detailed survival analysis for chronic kidney disease (CKD). The is based on the electronic health record (EHR) data comprising almost two decades of clinical observations collected at New York‐Presbyterian, large hospital in York City with one oldest records United States. Our approach centers around Bayesian multiresolution hazard modeling, an objective to capture changing CKD over time, adjusted patient covariates and kidney‐related laboratory tests....