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http://dx.doi.org/10.1073/pnas.2219555120 | DOI Listing |
JCO Glob Oncol
October 2024
Thilagavathi Ramamoorthy, PhD, Indian Council of Medical Research-National Centre for Disease Informatics and Research, Bengaluru, India; Anita Nath, MD, Indian Council of Medical Research-National Centre for Disease Informatics and Research, Bengaluru, India; Shubhra Singh, PhD, Indian Council of Medical Research-National Centre for Disease Informatics and Research, Bengaluru, India; Stany Mathew, MPH, Indian Council of Medical Research-National Centre for Disease Informatics and Research, Bengaluru, India; Apourv Pant, PhD, Indian Council of Medical Research-National Centre for Disease Informatics and Research, Bengaluru, India; Samvedana Sheela, MD, Indian Council of Medical Research-National Centre for Disease Informatics and Research, Bengaluru, India; Gurpreet Kaur, MSc, Indian Council of Medical Research-National Centre for Disease Informatics and Research, Bengaluru, India; Krishnan Sathishkumar, MSc, Indian Council of Medical Research-National Centre for Disease Informatics and Research, Bengaluru, India; Prashant Mathur, PhD, DNB, Indian Council of Medical Research-National Centre for Disease Informatics and Research, Bengaluru, India.
Surgery
August 2024
Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD. Electronic address:
J Parkinsons Dis
August 2023
Grey Matter Technologies, a Wholly Owned Subsidiary of Modality.ai, San Francisco, CA, USA.
Background: Free-text, verbatim replies in the words of people with Parkinson's disease (PD) have the potential to provide unvarnished information about their feelings and experiences. Challenges of processing such data on a large scale are a barrier to analyzing verbatim data collection in large cohorts.
Objective: To develop a method for curating responses from the Parkinson's Disease Patient Report of Problems (PD-PROP), open-ended questions that asks people with PD to report their most bothersome problems and associated functional consequences.
Proc Natl Acad Sci U S A
January 2023
Ludwigs Maximilian University, Geschwister Scholl Institute 80538, München, Germany.
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