Projects

  • Exploring the Evidence-Based Control Programs for Male with Multiple Primary Malignant Neoplasms (MPMNs) in Taiwan and United States: a Retrospective Multi-institute Analysis (MOST 107-2221-E-040 -009 -)
  • A Word/Phrase Matching-Based Text Mining Program for Automatic Extraction of Hormone Receptor Data from Free-text Pathology Reports on Breast Cancer (NCHU- CSMU 10705)
  • Short-term visit grant for international scholar: Chou-Hong Jason Chen (USA) (MOST 107-2912-I040-501)
  • Developing evidence-based control programs for women with multiple primary malignantneoplasms (MPMNs): a multilateral-international cooperation (CSH-2018-D-002)
  • The Implementation of Evidence-based CDSS for Gynecologic Cancer in Northern Thailand-- Contributions to International Efforts (MOST106-2218-E-040 -001 -MY2)
  • Constructing Computational Intelligence and Feature Selection for modeling and predicting of protein function and modification (CSMU-JAH--107-001)
  • Prediction of postprandial blood glucose in a cohort study: a comparative study of machine learning techniques (CSMU-LSH-107-2)
  • Posttraumatic stress disorder and posttraumatic growth among cancer patients: a prospective cohort study (CSMU-JAH--107-002)
  • Risk Factors of Multiple Primary Malignant Neoplasms (MPMNs) in Oral Cancers Survivors (CSH2018-A-015)
  • Applying Data Mining Techniques for Prediction on Recurrent Oral Cancer (CSH-2018-A-008)
  • Short-term visit grant for international scholar: Tetsuya Sakurai (Japan) (MOST 106-2912-I-040-502)
  • Obesity and age-period-cohort analyses on mortality rate of endometrial cancer in Taiwan and United States (MOST106-2221-E-040 -010 -)
  • Analysis of Risk predictive factors in second primary malignancies for colorectal cancer survivors (MOST106-2813-C-040-003-E)
  • Data Mining applications in second primary malignancies (SPMs) prediction (CSMU-JAH106-001)
  • Machine learning applications in multiple primary malignant neoplasms (MPMNs) prediction (NCHU-CSMU-10612)
  • Risk of second primary malignancies after colorectal cancer: Applying Data Mining Techniques (CSH-2017-A-012)
  • The treatment of Health Technology Assessment in Recurrent Colorectal Cancer (CSH-2017-A-012)
  • Combining randomized and non-randomized studies and to construct a novel prognostic index model of recurrent colorectal cancer (CSH-2017-A-012)
  • Multiple primary malignant neoplasms: Results from a 5-Year Retrospective Analysis in a Metropolitan Hospital (JAH-105-001)
  • Short-term visit grant for international scholar: Prof. Quan Zou (Tianjin University, China) (MOST105-2816-B-040 -001 -)
  • Construct a disease prediction model to diagnosis dialysis of diabetic nephropathy and identify risk factors using data mining classification technique (CSMU-JAH105-016)
  • The Maze Runner of HIV/AIDS: it's about you! 2015, Ministry of Science and Technology (MOST104-2633-E-040-001-)
  • Combined with data mining technology and integrated architecture to enhance endometrial cancer relapse prediction accuracy, 2015, Ministry of Science and Technology (MOST104-2815C-040- 060-E)
  • Exploring Patients" Preference in Medical Decision Making and Quality of Life, 2015, JenAi Hospital (CSMU-JAH-104-001)
  • Applying Data Mining Techniques for Prediction on Recurrent Colorectal Cancer, 2015, Chung Shan Medical Hospital (CSH-2015-A-006)
  • Evaluation of a Video-based Intervention to Promote Condom Use among College Students in Taiwan, 2015, Chung Shan Medical Hospital (CSH-2015-A-014)
  • A Cross-sectional Study of Orthopedic Trauma and Life Quality in Work-Related Hand Injury Patients, 2015, Chung Shan Medical Hospital (CSH-2015-A-017)
  • Exploring Plastic Surgery Patients" Preference in Medical Decision Making and Quality of Life, 2015, Chung Shan Medical Hospital (CSH-2015-A-012)
  • A Novel Prognostic Index Model and Health Technology Assessment in Endometrial Cancer, 2014, Ministry of Science and Technology (MOST102-2633-E-040-001-)
  • Developing an advanced machine learning techniques and combined with ensemble learning, 2014, Ministry of Science and Technology (MOST103-2815-C-040-028-E)
  • Bayesian Imperfect Information Analysis for Clinical Recurrent Data, 2014, Jen-Ai Hospital (CSMU-JAH-103-001)
  • A systemic view of the comprehensively ovarian cancer prognosis program, 2014, Chung Shan Medical Hospital (CSH-2014-C-018)
  • Applying data mining techniques for ovarian cancer prevention, 2014, Chung Shan Medical Hospital (CSH-2014-C-018-001)
  • Longitudinal dynamic analyse of PTG and QoL regarding cervical cancer treatment -A Structural Equation Modeling Study, 2013, Ministry of Science and Technology (MOST101-2410H-040- 009-)
  • Short-term visit grant for international scholar: Prof. Chung-Li Tseng (University of New South Wales, Australia) (MOST 102-2912-I-040-503)
  • Quality of life after post-traumatic growth for cervical cancer: Cohort study with a 18 months follow-up, 2013, Leed-Hsin Hospital (CSMU-LSH-102-2)
  • Application of machine learning to predict the recurrence-proneness for cervical cancer, 2012, Ministry of Science and Technology (MOST102-2815-C-040-005-H)
  • Evaluation of the functional result and quality of life after orthopedic surgery, 2011, Jen-Ai Hospital (CSMU-JAH-101-001)
  • A critical stakeholder analysis for patient shared decision-making under risk 2010, Ministry of Science and Technology (MOST99-2410-H-040-006-MY2)
  • Bayesian Inference for Cervical Carcinoma Cancer in Survival Analysis, 2010, Ministry of Science and Technology (MOST99-2628-E-040-001-)
  • Collaborative strategy development: wholesale of textile product and channel of innovation, 2010, Ministry of Economic Affairs (PC099140545)
  • Exploring Dental Patients' Preference in Medical Decision Making: Comparing Case Study between Taiwan and England, 2010, Antai Hospital (CSMU-TSMH-099-)
  • A critical stakeholder analysis for patient shared decision-making under risk 2009, Ministry of Science and Technology, (MOST98-2410-H-040-006-MY2)
  • Patient's preferences for involvement in shared decision making, 2009, Ministry of Science and Technology (MOST98-2815-C-040-006-E)