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Jer‐Guang Hsieh

Datos Biográficos

ID7940386
NOMBREJer‐Guang Hsieh
NOMBRESJer‐Guang
APELLIDOHsieh
FIRMAHSIEH J G
AFILIACIONESI-Shou University
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0
  • Risk Prediction of Barrett’s Esophagus in a Taiwanese Health Examination Center Based on Regression Models

    Open Access•Po-Hsiang Lin, Jer‐Guang Hsieh et al.•ARTICLE•International Journal of…•2021

    Determining the target population for the screening of Barrett's esophagus (BE), a precancerous condition of esophageal adenocarcinoma, remains a challenge in Asia. The aim of our study was to develop risk prediction models for BE using logistic regression (LR) and artificial neural network (ANN) methods. Their predictive performances were compared. We retrospectively analyzed 9646 adults aged ≥20 years undergoing upper gastrointestinal endoscopy…

Sin obras prominentes en esta página.

  • Risk Prediction of Barrett’s Esophagus in a Taiwanese Health Examination Center Based on Regression Models

    Open Access•Po-Hsiang Lin, Jer‐Guang Hsieh et al.•ARTICLE•International Journal of…•2021

    Determining the target population for the screening of Barrett's esophagus (BE), a precancerous condition of esophageal adenocarcinoma, remains a challenge in Asia. The aim of our study was to develop risk prediction models for BE using logistic regression (LR) and artificial neural network (ANN) methods. Their predictive performances were compared. We retrospectively analyzed 9646 adults aged ≥20 years undergoing upper gastrointestinal endoscopy…

Adenocarcinoma (1 obra) · Barrett's esophagus (1 obra) · Cancer (1 obra) · Center (category theory (1 obra) · Environmental health (1 obra) · Esophageal and GI Pathology (1 obra) · Esophageal Cancer Research and Treatment (1 obra) · Esophagus (1 obra) · Gastric Cancer Management and Outcomes (1 obra) · Internal Medicine (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae