by Joyce Frieden, News Editor, MedPage Today, April 28, 2017 WASHINGTON — Measuring outcomes for heart disease treatment in the general population won’t do much good if researchers can’t agree on a single definition of a particular disease or on which outcomes are worth measuring. That’s why a group of interested organizations is developing a common[…]› READ THE ARTICLE
Use of a Natural Language Processing-Based Approach to Extract Suicide Ideation and Behavior from Clinical Notes to Support Depression Research
MAY 27, 2021
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Patient Characteristics And Management Of Juvenile Idiopathic Arthritis (JIA) In a Large, Representative Real-World Cohort
MAY 20, 2021
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JUL 18, 2022
BioPharma Dive Published Online: July 18, 2022 Read the Full Article>> Identifying patients ‘outside the clinic’ can provide significant benefits for researchers and population health managers. Better understanding of patient cohorts can shed light on patient journeys, help optimize decisions around treatment choice and timing and inform the development of new therapies and intervention programs.[…]
Validation of a machine learning approach to estimate expanded disability status scale scores for multiple sclerosis
JUL 12, 2022
Sage Journals Published June 22, 2022 Read the Full Manuscript>> Abstract Background Disability assessment using the Expanded Disability Status Scale (EDSS) is important to inform treatment decisions and monitor the progression of multiple sclerosis. Yet, EDSS scores are documented infrequently in electronic medical records. Objective To validate a machine learning model to estimate EDSS scores[…]