OBJECTIVE: This study aimed to develop a machine-learning (ML) model to predict the risk for Periodontal Disease (PD) based on nonimage electronic dental records (EDRs).
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 11, 2024
This study explored the usability of prompt generation on named entity recognition (NER) tasks and the performance in different settings of the prompt. The prompt generation by GPT-J models was utilized to directly test the gold standard as well as t...
BACKGROUND: Designing appropriate clinical dental treatment plans is an urgent need because a growing number of dental patients are suffering from partial edentulism with the population getting older.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Dentists are more often treating patients with Cardiovascular Diseases (CVD) in their clinics; therefore, dentists may need to alter treatment plans in the presence of CVD. However, it's unclear to what extent patient-reported CVD information is accu...
Extracting information from unstructured clinical text is a fundamental and challenging task in medical informatics. Our study aims to construct a natural language processing (NLP) workflow to extract information from Chinese electronic dental record...
Studies in health technology and informatics
Jan 1, 2017
Smoking is a significant risk factor for initiation and progression of oral diseases. A patient's current smoking status and tobacco dependency can aid clinical decision making and treatment planning. The free-text nature of this data limits accessib...
International journal of legal medicine
Jan 1, 1997
The case is reported of a military pilot shot down in 1986 during a mission whose body was recovered in an advanced state of decomposition and delivered to Italian police in 1989. The first autopsy led to an incorrect identification of the corpse. Be...
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