Listen to our eleventh Podcast with Thomas Hügle interviewing Rachel Knevel. She is a clinical rheumatologist with a strong interest in the identification of homogeneous subsets of patients with synovitis by analyzing big-data such as electronic medical records and genetics. The aim of one of her latest studies was to develop an easily implementable workflow that builds a machine learning algorithm capable of accurately identifying patients with rheumatoid arthritis from format-free text fields in electronic health records.
Read the full publication here.
Ass. Prof. Dr. Rachel Knevel
Division of Rheumatology, Inflammation and Immunity
Brigham and Women’s Hospital
Harvard Medical School
Boston, MA, United States.
Interview with Dr. Rachel Knevel
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