RETRACTED ARTICLE: Optimal body mass index cutoff point for cardiovascular disease and high blood pressure

Babu, Gokulnath Chandra; Shantharajah, S. P.

doi:10.1007/s00521-018-3484-3

Cited by 16 publications

(4 citation statements)

References 44 publications

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“…[8][9][10][11][12][13] Entire hubs in the ad-hoc systems act as switches, which find the best path for data transfer which are essential for upgrading the efficiency and dependability of messages. [14][15][16][17][18] Some other difficulties of ad-hoc system are security 19 and vitality utilization. 20,21 Contrasted with the conventional ad-hoc systems, MANET are unique 22,23 and VANET fundamentally modifies from MANET.…”

Section: Associated Workmentioning

confidence: 99%

An optimal Internet of Things–based smart cities using vehicular cloud for smart driving

Devi

Krishnan

Lokesh

2018

Concurrency and Computation

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Empowering vehicular cloud can be done by having certain snapshot of the quantity of vehicles and their accessibility in a given lane through a model, and in addition, some additional framework, including movement of vehicles. The quantity of vehicles determines the calculation abilities accessible in this area and the traveling time shows the time of validity for a particular lane. Accordingly, in this paper, we do research using stochastic investigation of a few traffic attributes identified with the usage of cloud computing in a street portion to embrace appropriate activity prototypes. In particular, we have two sorts of activity situations that are considered: free-flow movement and queueing-up activity. We utilize a perceptible traffic model to explore the free-flow activity and examine some parameters, for example, activity thickness, vehicles quantity, and living arrangement time. Likewise, we use the queueing-up hypothesis to demonstrate the queue movement; the line length and the holding up time in the line are investigated. The outcomes will be presented for the customers who got struck in road traffic a common problem in all countries to get rid of traffic conditions. By using this, an alternate route will be predicted for the customer which is traffic free while driving.

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Section: Associated Workmentioning

confidence: 99%

An optimal Internet of Things–based smart cities using vehicular cloud for smart driving

Devi

Krishnan

Lokesh

2018

Concurrency and Computation

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“…At present, the incidence of cardiovascular disease continues to increase worldwide, and dyslipidemia is an important factor in the occurrence of cardiovascular disease and the main components of blood lipids are triglycerides and cholesterol (Dehghan et al, 2018;Babu & Shantharajah, 2019;Ravnskov et al, 2019). Lactic acid bacteria (LAB), as the most important probiotics in human body, have been proved to significantly reduce the level of blood lipids in serum and cause long-term beneficial changes in the intestinal system (Swain et al, 2014;Tokatlı et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Screening of isolated potential probiotic lactic acid bacteria from Sichuan pickle for cholesterol lowering property and triglycerides lowering activity

Zhao

et al. 2022

Food Sci. Technol

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The aim of this study was to isolate lactic acid bacteria (LAB) from Sichuan pickle and to assess their probiotic potential. Total of 66 LAB were isolated from 2 types of Sichuan pickle based on their morphological, physiological, biochemical, and genotypic characteristics. Then, 6 strains (BH6, BH9, BH18, BH46, BH48, BH59) were selected as candidates for further studies. The in vitro experiment showed that the cholesterol degradation rate of 4 strains BH6, BH9, BH59 exceeded 60%. And the triglyceride degradation rate of 3 strains BH6, BH9, BH18 was more than 17%. Out of 6 tested LAB strains, most of them (BH6,BH9,BH18,BH48,BH59) exhibited moderate to high survivability (59%-90%) under high concentration of bile salt (3%) and their survival rate was 72%-95% (BH6, BH18, BH46, BH48, BH59) at low pH conditions. The in vitro experiment showed that all LAB strains inhibited the growth of tested pathogenic microorganisms. Based on the results of presently in vitro experiments, it was concluded that the BH6 isolate had better cholesterol lowering ability (65.36%), triglyceride degradation ability (18.97%), bile salt tolerance and bacteriostatic ability. The potential LAB strain, BH6 was identified as Lactobacillus plantarum by 16S rRNA sequencing. In conclusion, the strain BH6 screened from Sichuan pickle had good ability to degrade cholesterol and triglyceride; and it had better tolerance to acid and bile salt; which also had good bacteriostatic ability. Therefor the strain BH6 has the potential to be used as edible probiotics.

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“…Several contributory risk factors like blood pressure,insulin level, cholesterol,pulse rate etc require detailed clinical tests and analysis of patient"s history by the medical pratitioners.Increase in the body mass index is also one of the reasons of failure of heart functions [16].Since this is a time taking process researchers have now turned their concerns toward modern scientific approaches like Machine Learning and Deep Learning for the prognosis of heart disease.Machine learning,deep learning techniques,genetic algorithms [17] etc can be used for predicting various disease like cancer [2] [3].Data mining methods can be applied to existing heart dataset along with different software tools: researchers are now able to predict various cardio vascular disease in advance with improved accuracy.Machine learning aids computers to learn and make decisions accordingly.Predict cardiac diseases of persons in advance is the main aim of the proposed research work. Machine learning algorithms like SVM,NB,KNN etc can be used as a base classifier for building an ensemble classifier in order to improve performance [17].The proposed design is sectioned into different parts.Section 1 describes the introduction, section 2 describes various research studies in heart disease prediction field, section 3,4 and 5 descibe the method applied in this work, the proposed method,results and discussion respectively and at last section 6 describes the conclusion.…”

Section: Introductionmentioning

confidence: 99%

Heart Disease Prediction Using Ensemble Stacking Technique

Sadiyamole¹,

S²

2022

IJERCSE

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Heart disease is one of the critical reasons behind the majority of the human loss.Heart failure has proven as the major health issue in both men and women.This causes human life very dreadful.Diagnosing heart issues in advance is a tedious task as it requires enormous amount of clinical tests.Data mining techniques like machine learning and deep learning have proven to be fruitful in making decisions and diagnose various diseases in advance.In this paper,various machine learning techniques have been used along with stacking ensemble method that focus to improve the prediction of heart failure.The accuracy of diagnosis is very important in the case of heart disease.Due to the inadequacy of prediction and diagnosis, traditional approaches fail to discover various heart failures. Health care organizations collect heart data sets which can be used to apply machine learning models for prognosis.

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RETRACTED ARTICLE: Optimal body mass index cutoff point for cardiovascular disease and high blood pressure

Cited by 16 publications

References 44 publications

An optimal Internet of Things–based smart cities using vehicular cloud for smart driving

An optimal Internet of Things–based smart cities using vehicular cloud for smart driving

Screening of isolated potential probiotic lactic acid bacteria from Sichuan pickle for cholesterol lowering property and triglycerides lowering activity

Heart Disease Prediction Using Ensemble Stacking Technique

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