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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
    Research News

    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.

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