HIGHLIGHTS
- who: Jay S. Patel et al. from the Univesity School of Dentistry, Indianapolis, IN, USA Health Informatics, Department of Health Services Administrations and Policy, Temple University College of have published the article: Developing Automated Computer Algorithms to Track Periodontal Disease Change from Longitudinal Electronic Dental Records, in the Journal: Diagnostics 2023, 1028 of 31/Dec/2014
- what: This study demonstrated the feasibility of utilizing longitudinal EDR data to track disease changes over 15 years during the observation study period. In the study (Patel et_al 2023), the authors have developed automated approaches to diagnose patients` periodontitis . . .
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