http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/281 Fri, 24 Apr 2026 15:59:06 GMT 2026-04-24T15:59:06Z http://http://starc.stthomas.ac.in:8080/xmlui:8080/xmlui/bitstream/id/10f52b68-1741-4971-976f-3ee03c3fe74f/ http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/281 http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/376 A Soft Computing Paradigm For A Medical Data Mining Tool To Predict Risk of Coronary Heart Events Anil George, K; Anitha, R In this paper, a Fuzzy-Classified Neural learning soft computing tool (FCNL) is proposed for predicting the intensity of risk in Coronary Heart occurrences. The presented model utilizes medical data collected from clinical findings on cardiac patients. The concept of decision trees is employed to classify the attributes that add to the Coronary Artery Disease (CAD). The output obtained as a result is then transformed to crisp if-then rules and then fuzzified into a database of fuzzy rules. A fuzzy-classified neural learning method based on supervised learning is exercised to enhance fuzzy membership functions. The performance and efficiency of the new medical data mining system, in terms of accuracy of prediction is presented against the real-life data. Thu, 01 Jan 2015 00:00:00 GMT http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/376 2015-01-01T00:00:00Z http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/129 Statistical analysis of MHD convective ferro-nanofluid flow through an inclined channel with hall current, heat source and soret effect Sabu, AS; Mathew, Alphonsa; Neethu, TS; George, K Anil The role of Hall current, heat source and Soret effects on MHD convective ferro-nanofluid (Fe3O4-water) flow through an inclined channel with porous medium has been theoretically and statistically examined. Velocity, thermal and concentration boundary layer in nanofluids are considered to be oscillatory. Heat due to radiation is induced by the huge disparity in temperature between the plates. Hall current is generated by the uniform application of a strong magnetic field perpendicular to the flow of fluid. Boundary layer equations are changed to non-dimensional type and it is resolved by perturbation approximation. The outcomes are displayed in the form of tables and figures using MATLAB software. The outcome of pertinent parameters on concentration, temperature and velocity profiles are evaluated through graphs. Besides, wall heat, mass transfer rates and surface drag are investigated through statistical tools like regression and probable error. Results explain that heat source and hall current have a negative impact on skin friction whereas heat source has a positive impact on Nusselt number. Also, Soret number has a negative impact on Sherwood number. Sat, 01 May 2021 00:00:00 GMT http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/129 2021-05-01T00:00:00Z