A5026168109- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Electronic Health Records Systems
- Design Education and Practice
- Creativity in Education and Neuroscience
- Machine Learning in Healthcare
- Head and Neck Cancer Studies
- Mental Health Research Topics
- Treatment of Major Depression
- Natural Language Processing Techniques
- linguistics and terminology studies
- Artificial Intelligence in Healthcare
- Cancer, Hypoxia, and Metabolism
- Maternal Mental Health During Pregnancy and Postpartum
- Advanced Text Analysis Techniques
- Cancer-related molecular mechanisms research
- Virtual Reality Applications and Impacts
- RNA modifications and cancer
- Food Quality and Safety Studies
- Data Quality and Management
- Visual and Cognitive Learning Processes
- Job Satisfaction and Organizational Behavior
- Peanut Plant Research Studies
- Digital Mental Health Interventions
- Mental Health via Writing
George Mason University
2014-2025
Shanghai Jiao Tong University
2020-2024
Shandong Academy of Chinese Medicine
2024
Imperial College London
2017-2024
Renmin University of China
2023-2024
Brunel University of London
2024
Kingston University
2023
Xuzhou Medical College
2023
Jiangsu University
2023
Optum (United States)
2022
Abstract Disease ontologies facilitate the semantic organization and representation of domain-specific knowledge. In case prostate cancer (PCa), large volumes research results clinical data have been accumulated needed to be standardized for sharing translational researches. A formal PCa-associated knowledge will essential diverse standardization, future graph extraction, deep phenotyping explainable artificial intelligence developing. this study, we constructed an updated PCa ontology...
To develop and test an auditing methodology for detecting errors in medical terminologies satisfying systematic inheritance. This is based on various abstraction taxonomies that provide high-level views of a terminology highlight potentially erroneous concepts.
Background: Prediction of radiotherapeutic response before radiotherapy could help determine individual treatment strategies for patients with acromegaly. Objective: To develop and validate a machine-learning-based multiparametric MRI radiomics model to non-invasively predict in Methods: This retrospective study included 57 acromegaly who underwent postoperative between January 2008 2016. Manual lesion segmentation analysis were performed on each pituitary adenoma, 1561 features extracted...
Background: Prediction of the tumor consistency before surgery is vital importance to determine individualized therapeutic schemes for patients with acromegaly. The present study was performed noninvasively predict based on magnetic resonance imaging and radiomics analysis. Methods: In total, 158 acromegaly were randomized into primary cohort (n = 100) validation 58). classified as soft or firm according neurosurgeon's evaluation. critical features determined using elastic net feature...
Major Depressive Disorder (MDD) and Generalized Anxiety (GAD) pose significant burdens on individuals society, necessitating accurate prediction methods. Machine learning (ML) algorithms utilizing electronic health records survey data offer promising tools for forecasting these conditions. However, potential bias inaccuracies inherent in subjective responses can undermine the precision of such predictions. This research investigates reliability five prominent ML algorithms—a Convolutional...
Standards terminologies may be large and complex, making their quality assurance challenging. Some terminology (TQA) methodologies are based on abstraction networks (AbNs), compact summaries. We have tested AbNs the performance of related TQA small hierarchies. However, some standards terminologies, for example, SNOMED, composed very Scaling AbN techniques to such hierarchies poses a significant challenge. present scalable subject-based approach TQA.An innovative technique is presented...
This study summarizes the experiences of patients, who have multiple comorbidities, with 15 mono-treated antidepressants.This is a retrospective, observational, matched case control study. The cohort was organized using claims data available through OptumLabs for depressed patients treated antidepressants between January 1, 2001 and December 31, 2018. included from all states within United States America. analysis focused on 3,678,082 major depression had 10,221,145 antidepressant...
Based on the Job Demand-Resource theory, this study explores relationship between technostress and turnover intention focusing mediating role of work engagement moderating leader competency. Three-wave survey data were collected from 634 Chinese real estate agents who in an industry characterized by both heavy reliance information communication technology concerning level rate. The results indicated that is positively related to mediated engagement. Moreover, competency attenuated influence...
Antidepressants are a primary treatment for depression, yet prescribing them poses significant challenges due to the absence of clear guidelines selecting most suitable option individual patients. This study aimed analyze patterns antidepressants across healthcare providers, including physicians, physician assistants, nurse practitioners, and pharmacists, better understand complex factors influencing these in management depression. Least Absolute Shrinkage Selection Operator (LASSO)...
Reusable machine-processable clinical decision support system (CDSS) rules have not been widely achieved in the medical informatics field. This study introduces process, results, challenges faced, and lessons learned while converting Centers for Disease Control Prevention (CDC)-recommended immunization schedules (2022) to CDSS rules. The presents our experience vaccination into tabular, charts, MS Excel, quality language (CQL) formats. CQL format can be automatically converted using existing...
<sec> <title>UNSTRUCTURED</title> This paper introduces a curated directory of publicly available datasets focused on youth mental health (under 18 years old). Youth issues have been recognized as pressing crisis in recent the USA. The is designed to serve critical infrastructure enhance research, inform policy-making, and support application artificial intelligence (AI) machine learning (ML) research. Unlike systematic review, this offers brief review open data recourses, addressing...
Background: Reusable, machine-processable clinical decision support system (CDSS) rules have not been widely achieved in the medical informatics field. This study introduces process, results, challenges faced, and lessons learned while converting United States of America Centers for Disease Control Prevention (CDC)-recommended immunization schedules (2022) to CDSS rules. Methods: We converted vaccination into tabular, charts, MS Excel, quality language (CQL) formats. The CQL format can be...
Objectives: To assess the prevalence of sleep disorders before and after itraconazole treatment in patients with seborrheic dermatitis. Research object Method: This cross-sectional study included 45 diagnosed dermatitis who sought at Can Tho Dermatology Hospital between June 2024 November 2024. Sleep disturbances were evaluated using Pittsburgh Quality Index (PSQI) treatment. The effectiveness was assessed based on symptom severity (erythema, scaling, itching, burning), scored a 0–3 scale...
As a crucial event involved in the metastasis and relapse of esophageal cancer, c-Met overexpression has been considered as one culprits responsible for failure patients who received radiochemotherapy.Since confirmed to be pivotal cell survival, proliferation migration, little is known about its impact on regulation radiosensitivity cancer.The present study investigated radiosensitization effects inhibitor foretinib ECA-109 TE-13 lines.Foretinib inhibited signaling dose-dependent manner...
In order to obtain optimum packaging materials for peanut kernels, the effects of four types on storage quality (coat color, acid value, germination rate, relative damage, and prevention aflatoxin contamination) were examined. The results showed that had a major influence indexes. color seed coat packaged in polyester/aluminum/polyamide/polyethylene (PET/AL/PA/PE) composite film bag did not change significantly during period. Color deterioration was slower with polyamide/polyethylene (PA/PE)...
Abstract Creativity is a significant element in design education, and frequently competency during recruitment for professions. Group work individual are widely employed higher education. Many studies have highlighted the merits of employing group cultivating collaborative abilities fostering sought-after employability skills. Although benefits practice education recognised, few shown evidence that outperforms regarding creative activities contexts. Therefore, aim this research to explore...
Objective Arteriolosclerosis cerebral small vessel disease (CSVD) is a common type of CSVD. This study aimed to explore the factors associated with cognitive function and total MRI burden related disease. Methods The demographic characteristics, clinical manifestations, score, Barthel Index (BI), blood test index, follow-up results arteriolosclerosis CSVD patients treated for first time in our hospital from January 2014 August 2022 were collected. White matter hyperintensity (WMH) Fazekas...
In this paper, we present an active learning framework designed to enhance the automatic identification of key phrases relevant a Clinical Decision Support System (CDSS) ontology. CDSS ontology can play critical role in standardizing medical vocabulary and enabling seamless data integration across healthcare systems. Traditional methods for development are manual, labor-intensive, require significant domain expertise. Our approach combines Named Entity Recognition (NER) component based on...