A5081876016- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Pharmacy and Medical Practices
- Lung Cancer Treatments and Mutations
- Nuts composition and effects
- Colorectal Cancer Screening and Detection
- Plant and Fungal Interactions Research
- Smoking Behavior and Cessation
- Head and Neck Cancer Studies
- Health Policy Implementation Science
- Bioinformatics and Genomic Networks
- Telemedicine and Telehealth Implementation
- Traditional Chinese Medicine Studies
- Chronic Obstructive Pulmonary Disease (COPD) Research
- COVID-19 diagnosis using AI
- Artificial Intelligence in Healthcare and Education
- Biomedical Text Mining and Ontologies
Guilin Medical University
2019-2024
Guangxi Medical University
2018
Background A significant proportion of young at-risk patients and nonsmokers are excluded by the current guidelines for lung cancer (LC) screening, resulting in low-screening adoption. The vision US National Academy Medicine to transform health systems into learning (LHS) holds promise bringing necessary structural changes care, thereby addressing exclusivity adoption issues LC screening. Objective This study aims realize LHS designing an equitable, machine (ML)–enabled unit It focuses on...
Approaches of studies on the chestnut gall wasp, Dryocosmus kuriphilus Yasumatsu in China were documented this paper. The pest distributes over 16 provinces covering all productive area country with yield damage 15-30% every year. It was observed only 1 generation each year and seems to reproduce by parthenogenesis. Over wintering as young larvae within host buds, it feeds acting budburst spring, its cabin forms leaf growth spread. adult eclosion is at end male flower blooming. There have...
Background Electronic medical records (EMRs) of patients with lung cancer (LC) capture a variety health factors. Understanding the distribution these factors will help identify key for risk prediction in preventive screening LC. Objective We aimed to generate an integrated biomedical graph from EMR data and Unified Medical Language System (UMLS) ontology LC, LC factor hospital approximately 1 million patients. Methods The were collected 2 sets 1397 those without A patient-centered was...
Abstract Background: To expand nasopharyngeal carcinoma (NPC) screening to larger populations, more practical NPC risk prediction models independent of Epstein–Barr virus (EBV) and other lab tests are necessary. Methods: Patient data before diagnosis were collected from hospital electronic medical records (EMR) used develop machine learning (ML) for using XGBoost. factor distributions generated through connection delta ratio (CDR) analysis patient graphs. By combining EMR-wide ML with graph...
<sec> <title>BACKGROUND</title> A significant proportion of young at-risk patients and nonsmokers are excluded by the current guidelines for lung cancer (LC) screening, resulting in low-screening adoption. The vision US National Academy Medicine to transform health systems into learning (LHS) holds promise bringing necessary structural changes care, thereby addressing exclusivity adoption issues LC screening. </sec> <title>OBJECTIVE</title> This study aims realize LHS designing an equitable,...
Evidence-based tobacco control strategies delivered through pediatric settings could encourage parental smoking cessation and reduce children's exposure to second hand smoke (SHS) in the United States. The extent which these be routinely implemented setting of a developing country is not known. We tested feasibility efficacy implementing an evidence-based intervention, Clinical Effort Against Secondhand Smoke Exposure (CEASE), Chinese hospital address children home car smoking.We conducted...