Results 1 to 10 of about 222,207 (416)
Principles of Periodontology [PDF]
Periodontal diseases are among the most common diseases affecting humans. Dental biofilm is a contributor to the etiology of most periodontal diseases.
Aas+428 more
core +2 more sources
Global epidemiology of dental caries and severe periodontitis – a comprehensive review
BACKGROUND Dental caries and periodontitis are the most common oral diseases and major causes of tooth loss. AIM To perform a review of global prevalence and incidence of dental caries and periodontitis.
J. Frencken+5 more
semanticscholar +1 more source
Aim: To investigate the use of the European SCORE model in a dental setting by exploring the frequency of a ‘high’ and ‘very high’ 10-year CVD mortality risk in patients with and without periodontitis. The secondary aim was to investigate the association
Madeline X. F. Kosho+5 more
doaj +1 more source
Prevalence of Bacteria of Division TM7 in Human Subgingival Plaque and Their Association with Disease [PDF]
Members of the uncultivated bacterial division TM7 have been detected in the human mouth, but little information is available regarding their prevalence and diversity at this site.
Armitage, Gary C.+4 more
core +3 more sources
Serum C-Reactive Protein and Periodontitis: A Systematic Review and Meta-Analysis
Periodontitis has been associated with low-grade inflammation as assessed by C-reactive protein (CRP) levels and its treatment can decrease CRP serum levels.
V. Machado+8 more
semanticscholar +1 more source
Background Immunity reaction plays an essential role in periodontitis progress and we aim to investigate the underlying regulatory network of immune reactions in periodontitis.
Xiaoqi Zhang+7 more
doaj +1 more source
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression [PDF]
This study aimed to utilize text processing and natural language processing (NLP) models to mine clinical notes for the diagnosis of periodontitis and to evaluate the performance of a named entity recognition (NER) model on different regular expression (RE) methods. Two complexity levels of RE methods were used to extract and generate the training data.
arxiv
Periodontitis is an inflammatory disease characterized by the destruction of the periodontium. In the last decade, a new murine model of periodontitis has been widely used to simulate alveolar bone resorption and periodontal soft tissue destruction by ...
Peiya Lin+10 more
semanticscholar +1 more source
Background: Salivary biomarkers can be used to diagnose illnesses, track their course, and gauge a patient's response to therapy. Inflammatory circumstances result in higher sCD44 levels.
Hiroj Bagde+6 more
doaj +1 more source
Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records [PDF]
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 to generate the seed and further fed to the RoBERTa model with the spaCy package.
arxiv