A5071218257- Meta-analysis and systematic reviews
- Biomedical Text Mining and Ontologies
- Statistical Methods in Clinical Trials
- Bladder and Urothelial Cancer Treatments
- Health Literacy and Information Accessibility
- Machine Learning in Healthcare
- Mechanical Circulatory Support Devices
- Transplantation: Methods and Outcomes
- Chronic Disease Management Strategies
- COVID-19 and healthcare impacts
- Text Readability and Simplification
- Cancer Immunotherapy and Biomarkers
- Cardiovascular Disease and Adiposity
- COVID-19 Clinical Research Studies
- Electronic Health Records Systems
- Healthcare cost, quality, practices
- Pharmacology and Obesity Treatment
- Health Systems, Economic Evaluations, Quality of Life
- Obesity and Health Practices
- Heart Failure Treatment and Management
- Diabetes Treatment and Management
- Ferroptosis and cancer prognosis
- Cancer Research and Treatments
- Healthcare Systems and Technology
- Genomics and Rare Diseases
Decision Sciences (United States)
2022-2024
Merck & Co., Inc., Rahway, NJ, USA (United States)
2024
Florida State University
2018-2023
Hainan General Hospital
2018
Background Patients are increasingly able to access their laboratory test results via patient portals. However, merely providing does not guarantee comprehension. could experience confusion when reviewing results. Objective The aim of this study is examine the challenges and needs patients comprehending Methods We conducted a web-based survey with 203 participants set semistructured interviews 13 participants. assessed patients’ perceived (both informational technological needs) they...
Abstract With the recent advances in Artificial Intelligence (AI) technology, patient‐facing applications have started embodying this novel technology to deliver timely healthcare information and services patient. However, little is known about lay individuals' perceptions acceptance of AI‐driven, health systems. In study, we conducted a survey with 203 participants investigate their using AI consult related diagnostic results what factors influence perceptions. Our showed that despite...
Abstract Acute myocardial infarction poses significant health risks and financial burden on healthcare families. Prediction of mortality risk among AMI patients using rich electronic record (EHR) data can potentially save lives costs. Nevertheless, EHR-based prediction models usually use a missing imputation method without considering its impact the performance interpretability model, hampering real-world applicability in setting. This study examines different methods for imputing values EHR...
To assess weight loss and cardiorenal outcomes by baseline body mass index (BMI) in VERTIS CV.
Background/Aims: Cancer stem-like cells are the main cause of tumor occurrence, progression, and therapeutic resistance. However, precise signals required for maintenance traits these in ovarian cancer remain elusive. We have thus worked to elucidate functional role Tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein zeta (YWHAZ), a gene encoding 14-3-3ζ protein, regulation multidrug resistance stem cell-like cancer. Methods: detected YWHAZ levels human specimens cell...
The language gap between health consumers and professionals has been long recognized as the main hindrance to effective information comprehension. Although providing access in consumer (CHL) is widely accepted solution problem, are found have varying preferences proficiencies. To simplify documents for heterogeneous groups, it important quantify how CHLs different terms of complexity among various groups.This study aimed propose an informatics framework (consumer [CHELC]) assess differences...
The prediction of posttransplant health outcomes for pediatric heart transplantation is critical risk stratification and high-quality care.The purpose this study was to examine the use machine learning (ML) models predict rejection mortality transplant recipients.Various ML were used at 1, 3, 5 years after in recipients using United Network Organ Sharing data from 1987 2019. variables predicting included donor recipient as well medical social factors. We evaluated 7 models-extreme gradient...
In the past few months, a large number of clinical studies on novel coronavirus disease (COVID-19) have been initiated worldwide to find effective therapeutics, vaccines, and preventive strategies for COVID-19. this study, we aim understand landscape COVID-19 research identify issues that may cause recruitment difficulty or reduce study generalizability.
Abstract Rationale Aims and Objectives The fragility index (FI) quotient (FQ) are increasingly used measures for assessing the robustness of clinical studies with binary outcomes in terms statistical significance. FI is minimum number event status modifications that can alter a study result's significance (or nonsignificance), FQ calculated as divided by study's total sample size. literature has no widely recognized criteria interpreting measures' magnitudes. This article aims to provide an...
Objectives Network meta-analysis is a popular tool to simultaneously compare multiple treatments and improve treatment effect estimates. However, no widely accepted guidelines are available classify the nodes in network meta-analysis, node-making process was often insufficiently reported. We aim at empirically examining impact of different classifications on results. Methods collected nine published meta-analyses with various disease outcomes; each contained some similar that may be lumped....
Obesity is a common disease and known risk factor for many other conditions such as hypertension, type 2 diabetes, cancer. Treatment options obesity include lifestyle changes, pharmacotherapy, surgical interventions bariatric surgery. In this study, we examine the use of prescription drugs dietary supplements by individuals with obesity.
Abstract Objective The novel coronavirus disease (COVID-19), broke out in December 2019, is a global pandemic. Rapidly the past few months, large number of clinical studies have been initiated worldwide to find effective therapeutics, vaccines, and preventive strategies. In this study, we aim understand landscape COVID-19 research identify gaps issues that may cause difficulty recruitment lack population representativeness. Materials Methods We analyzed 2,034 registered largest public...
4597 Background: The phase 2 KEYNOTE-057 trial (NCT02625961) demonstrated that pembrolizumab can serve as a bladder-sparing option for patients (pts) with high-risk non–muscle-invasive bladder cancer (NMIBC) who are unresponsive to bacillus Calmette-Guérin (BCG) and unable or unwilling undergo radical cystectomy (RC). However, the outcomes (especially related progressive disease [PD]) of pts do not respond therapies (BSTs), including pembrolizumab, concern. We conducted post hoc analysis...
<sec> <title>BACKGROUND</title> The language gap between health consumers and professionals has been long recognized as the main hindrance to effective information comprehension. Although providing access in consumer (CHL) is widely accepted solution problem, are found have varying preferences proficiencies. To simplify documents for heterogeneous groups, it important quantify how CHLs different terms of complexity among various groups. </sec> <title>OBJECTIVE</title> This study aimed...
Abstract Background Prediction of post-transplant health outcomes for pediatric heart transplantation is critical high quality care. The purpose the current study to examine use machine learning models predict late acute rejection, hospitalizations, and mortality transplant recipients. Methods Various traditional deep were used at 1-, 3-, 5-years in recipients using national United Network Organ Sharing data. Variables predicting included donor recipient medical social predictors. SHAP...
The roles of dietary supplement (DS) usage on disease progression patients with cognitive impairments remain unclear. Transformed-based language models were trained to identify DS use status from clinical notes among Alzheimer's and related dementias (ADRD). best name entity recognition for achieved F1-score is 0.964 the PubMed BERT based classifier weighted 0.879. Integrating medication table, we identified totally 125 unique mild impairment (MCI) only 108 who progressed ADRD.