A big data scheme for heart disease classification in map reduce using jellyfish search flow regime optimization enabled Spinalnet.

Background: The disease related to the heart is serious and can lead to death. Precise heart disease prediction is imperative for the effective treatment of cardiac patients. This can be attained by machine learning (ML) techniques using healthcare data.

Association of pentraxin in periodontitis patients with coronary artery disease.

Objectives: Pentraxin 3 (PTX3) is a biomarker, associated with the pathogenesis of Periodontitis and coronary artery disease (CAD) individually, but their role in patients with both diseases remains unclear. The current study aims to evaluate the association of PTX in patients with concomitant periodontitis and CAD.

Materials And Methods: In a case-control study, 240 participants were selected and divided into four groups.

Evidence linking the association of periodontal viruses and pentraxins in periodontitis patients with coronary artery disease.

Background: Although there is ample evidence in the literature supporting a significant positive association between key periodontal pathogens and established inflammatory markers of periodontitis and coronary artery disease (CAD), their exact role remain unclear. Especially, the role of viruses in the etiology and specific biomarkers have not been validated. Thus, the current study aims to evaluate the role of periodontal viruses such as Epstein-Barr virus (EBV), cytomegalovirus (CMV), and herpes simplex virus (HSV), as well as the inflammatory marker pentraxin-3 (PTX3), and to analyze their association with CAD.

Expression of trefoil factor 2 and 3 and adrenomedullin in chronic periodontitis subjects with coronary heart disease.

Background: The current study aims to determine the expression of trefoil factor 2 (TFF2), trefoil factor 3 (TFF3), and adrenomedullin (ADM) in salivary samples of periodontitis patients with and without coronary heart disease (CHD).

Methods: A total of 75 patients were selected based on the inclusion and exclusion criteria and divided into three groups of 25 patients each: generalized periodontitis (GP) only; GP+CHD; and CHD only. Demographic, periodontal, and cardiac parameters were recorded, and unstimulated saliva samples were collected and analyzed for the expression of TFF2, TFF3, and ADM.