Cardiovascular diseases prediction by machine learning incorporation with deep learning.

It is yet unknown what causes cardiovascular disease (CVD), but we do know that it is associated with a high risk of death, as well as severe morbidity and disability. There is an urgent need for AI-based technologies that are able to promptly and reliably predict the future outcomes of individuals who have cardiovascular disease. The Internet of Things (IoT) is serving as a driving force behind the development of CVD prediction. In order to analyse and make predictions based on the data that IoT devices receive, machine learning (ML) is used. Traditional machine learning algorithms are unable to take differences in the data into account and have a low level of accuracy in their model predictions. This research presents a collection of machine learning models that can be used to address this problem. These models take into account the data observation mechanisms and training procedures of a number of different algorithms. In order to verify the efficacy of our strategy, we combined the Heart Dataset with other classification models. The proposed method provides nearly 96 percent of accuracy result than other existing methods and the complete analysis over several metrics has been analysed and provided. Research in the field of deep learning will benefit from additional data from a large number of medical institutions, which may be used for the development of artificial neural network structures.

Acupuncture - An effective tool in the management of gag reflex.

Gagging is of great concern to the dentist as it is a serious impediment during the execution of various dental procedures. The etiology of gagging is multifactorial, and several suggestions have been offered to arrest this reflex, some of which are nonsustainable and does not show the immediate result. Acupuncture has been successfully employed as an adjunct to local anesthesia in dental extractions, pain management and also in the symptomatic management of temporomandibular joint disorders. The author highlights the application of acupuncture in the management of patients with gag reflex during dental procedures and its benefits are reported.

A telescopic retainer prosthesis in full mouth rehabilitation.

The use of questionable abutments has been made possible by modifying the design of the prosthesis. Telescopic retainers help to retain a prosthesis on a tilted and malaligned abutments.

Relationship between gingival bleeding and anaerobic periodontal infection assessed by BANA (N-Benzoyl-DL-Arginine-ß-Napthylamide) assay.

BACKGROUND: Since periodontal diseases are primarily inflammatory in nature, the ability to detect inflammatory lesions in gingival tissue is essential for the diagnosis and monitoring of changes in gingival status. Gingival bleeding has been used as a reliable and objective clinical parameter not only for the evaluation of inflammatory conditions of periodontium, but also in the detection of its activity and progression. The gingival bleeding index (Loe) is based on the presence or absence of gingival bleeding, thereby provides a means of converting observed clinical data into statistical analysis. Periodontitis is widely regarded as a bacterial infection mainly mediated by subgingival plaque. N-benzoyl-DL-arginine ß-naphthylamide (BANA) test is a simple chair side test used to detect, the specific enzymatic activity of microorganisms involved in periodontal disease. OBJECTIVE: The objective of this study is to compare the clinical evaluation of the gingival index (GI) with the enzymatic BANA test. MATERIALS AND METHODS: A total of 320 sites were selected from 20 patients with generalized chronic periodontitis, based on the presence are absence of gingival bleeding according to GI of Loe. Sub-gingival plaque samples were collected using a sterile curette and the BANA test was performed. RESULTS: The distribution of GI and the intensity of the BANA test for the 320 sites analyzed during the initial examination of patients, with significance determined by the Chi-square test. The results were statistically significant at P ≤ 0.000. CONCLUSION: There was a direct relationship between positive BANA test results and GI scores, clearly demonstrating the validity of gingival bleeding as a significant diagnostic parameter. CLINICAL SIGNIFICANCE: The validity of gingival bleeding as a clinical tool not only for the diagnosis of periodontal disease, but also in the detection of its activity and progression could be established by correlating the GI scores (which is based on the presence or absence of bleeding) with the primary etiologic factors (putative periodontal pathogens) assessed by BANA assay.