Search the Cancer Center site

Search the Cancer Center site

Home
About
About

Located in Worcester, Massachusetts, the UMass Cancer Center is committed to providing exceptional patient care, conducting cutting-edge research at the highest level, offering excellence in education and training, and serving as an educational resource and advocate for the Central Massachusetts community.
Patients
Patients

Expert Cancer Care in Central Massachusetts

We offer comprehensive cancer care for all childhood and adult cancers, combining state-of-the-art treatments with compassionate support for patients and their families.
Clinicians
Research
Research

Cutting-Edge Cancer Research

We carry out front-line research in basic, translational, clinical and population-based discovery to find newer, better methods for the prevention, detection, diagnosis, and treatment of cancer.
Education
Education

World Class Medical and Scientific Education

The UMass Cancer Center is dedicated to training the next generation of cancer researchers, clinicians and physician-scientists.
Outreach
Michael Green Memorial
Michael Green Memorial

UMass Chan lost one of its greats when Michael R. Green, MD, PhD, passed away unexpectedly in February 2023. We've established these web pages in his memory so our visitors can take a few minutes, from time to time, to peruse and remember him.

Donate to the The Michael R. Green, MD, PhD, Award in Graduate Research:

Donate

Additional Resources

Jinying Chen, PhD

Assistant Professor, Population and Quantitative Health Sciences/Division of Health Informatics and Implementation Science, UMass Chan Medical School

Page Menu

Jinying Chen, PhD

Research Focus - Information Technologies, Including Natural Language Processing and Machine Learning, to Support Cancer Prevention and Care of Cancer Patients

Identification of physicians’ electronic health record (EHR) use patterns and their relationship with downstream outcomes (e.g., smoking screening rates) by using data mining methods and EHR audit log data
Generation of automatic outcome measures using structured and unstructured EHR data to support implementation programs for cancer prevention
Identification of a smoker’s behavior change during eHealth intervention
Development and application of statistical and machine learning methods for predictive modeling related to cancer prevention and prognosis

In the News

Getting Results…

Study: E-cigarettes not associated with greater quitting success among traditional smokers

A study by UMass Medical School researchers found that cigarette smokers who used both e-cigarettes and combustible cigarettes smoked more combustible cigarettes daily and had less success at abstaining than smokers who only used combustible cigarettes.

Read more