A5064643084- Electronic Health Records Systems
- Mobile Health and mHealth Applications
- Biomedical Text Mining and Ontologies
- Maternal Mental Health During Pregnancy and Postpartum
- Health Literacy and Information Accessibility
- Digital Mental Health Interventions
- Artificial Intelligence in Healthcare
- Machine Learning in Healthcare
- Scientific Measurement and Uncertainty Evaluation
- Airway Management and Intubation Techniques
- Advanced Statistical Process Monitoring
- Medical Research and Practices
- Advanced Statistical Methods and Models
- ECG Monitoring and Analysis
- Phonocardiography and Auscultation Techniques
- Restraint-Related Deaths
- EEG and Brain-Computer Interfaces
- Burn Injury Management and Outcomes
- Artificial Intelligence in Healthcare and Education
- Emergency and Acute Care Studies
The Ohio State University
2020-2022
Nationwide Children's Hospital
2020-2022
The Ohio State University Wexner Medical Center
2020-2021
Ohio State University Hospital
2021
Icahn School of Medicine at Mount Sinai
2011
National Taiwan University of Science and Technology
2007
Electrocardiogram (ECG) is a widely used reliable, non-invasive approach for cardiovascular disease diagnosis. With the rapid growth of ECG examinations and insufficiency cardiologists, accurate automatic diagnosis signals has become hot research topic. In this paper, we developed deep neural network classification cardiac arrhythmias from 12-lead recordings. Experiments on public dataset showed effectiveness our method. The proposed model achieved an average F1 score 0.813. superior...
A voice assistant (VA) is inanimate audio-interfaced software augmented with artificial intelligence, capable of 2-way dialogue, and increasingly used to access health care advice. Postpartum depression (PPD) a common perinatal mood disorder an annual estimated cost $14.2 billion. Only small percentage PPD patients seek due lack screening insufficient knowledge the disease, this is, therefore, prime candidate for VA-based digital intervention.In order understand capability VAs, our aim was...
<h3>Importance</h3> Patient portals can be configured to allow confidential communication for adolescents' sensitive health care information. Guardian access of adolescent patient portal accounts could compromise confidentiality. <h3>Objective</h3> To estimate the prevalence guardian at 3 academic children's hospitals. <h3>Design, Setting, and Participants</h3> A cross-sectional study was conducted Adolescent patients (aged 13-18 years) with their account least 1 outbound message from during...
Deep learning models have attracted significant interest from health care researchers during the last few decades. There been many studies that apply deep to medical applications and achieve promising results. However, there are three limitations existing models: (1) most clinicians unable interpret results models, (2) cannot incorporate complicated domain knowledge (eg, a disease causes another disease), (3) lack visual exploration interaction. Both electronic record (EHR) data set model...
With the increased sharing of electronic health information as required by US 21st Century Cures Act, there is an risk breaching patient, parent, or guardian confidentiality. The prevalence sensitive terms in clinical notes not known.
DEMOGRAPHICS Case Title: Management of Intraoperative Airway Fire. Patient Name: Mr. Daniel Reiner. Scenario Fire Management. Date Development: September 23, 2008. Learning Groups: Anesthesiologists and Nurse Anesthetists, Intensive Care Team Members, Surgeons. CURRICULAR INFORMATION Educational Rationale fires are rare but potentially catastrophic events that can result in major patient morbidity mortality. The presence a fuel, an oxidizing agent, ignition source comprise the “fire...
Abstract This paper attempts to evaluate different methods of calculating the type‐I and type‐II errors in measurement system. Furthermore, we apply Bootstrap method construct confidence intervals for errors. Also, proposed is compared with generalized inference method. Several factors such as sample size, error, process mean, variation are simulated validate performance. The simulation results show that both almost have same In addition, develop a computer program can error system without...
<sec> <title>BACKGROUND</title> Deep learning models have attracted significant interest from health care researchers during the last few decades. There been many studies that apply deep to medical applications and achieve promising results. However, there are three limitations existing models: (1) most clinicians unable interpret results models, (2) cannot incorporate complicated domain knowledge (eg, a disease causes another disease), (3) lack visual exploration interaction. Both...
<sec> <title>BACKGROUND</title> A voice assistant (VA) is inanimate audio-interfaced software augmented with artificial intelligence, capable of 2-way dialogue, and increasingly used to access health care advice. Postpartum depression (PPD) a common perinatal mood disorder an annual estimated cost $14.2 billion. Only small percentage PPD patients seek due lack screening insufficient knowledge the disease, this is, therefore, prime candidate for VA-based digital intervention. </sec>...
<sec> <title>BACKGROUND</title> With the increased sharing of electronic health information as required by US 21st Century Cures Act, there is an risk breaching patient, parent, or guardian confidentiality. The prevalence sensitive terms in clinical notes not known. </sec> <title>OBJECTIVE</title> aim this study to define that represent documentation content may be private and determine characteristics provider contain terms. <title>METHODS</title> Using keyword expansion, we defined a list...