Approaches in type 1 diabetes research: A status report

Raha, Oindrila; Chowdhury, Subhankar; Dasgupta, Samir; Raychaudhuri, Pradip; Sarkar, Biswanath; Raju, Prashanth; Rao, Vadlamudi Raghavendra

doi:10.4103/0973-3930.53126

Cited by 26 publications

(8 citation statements)

References 108 publications

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“…Diabetes [9,10] is a long-haul issue, many hazard factors, intricacies, expandpassing's rates. It is arranged into four kind's type-1 [11], type-2 [12], prediabetes [13], and gestational diabetes [14].…”

Section: Major Report Statistics From Various Health Organisationsmentioning

confidence: 99%

Analysis of diabetes mellitus for early prediction using optimal features selection

Sneha

Gangil²

2019

J Big Data

271

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The annual report of World Health Association, add up to the number of individuals experiencing diabetes is 422 million the year (Write from which year to which year it is telling the statistics of 422 million). Consistently, there is a significant increment in the number individuals experiencing diabetes in different healing center. The world health organization (WHO) reports [1, 2] on "Diabetes Care 2018" by American Diabetes Association and Standards for Medical care in Diabetes, a study for correlation diverse races and their pay. Figure 1 demonstrates the diverse individuals (gender and wage) matured between 29 and 70 years, level of passing because of hypertension. Diabetes mellitus [3] is chronic, a ceaseless ailment where it caused because of the high sugar level in the circulatory system. It is caused because of the inappropriate working of the pancreatic beta cells. It has an impact on different parts of the body which incorporates pancreas glitch, risk of heart ailments, hypertension, kidney disappointments, pancreatic issues, nerve harm, foot issues, ketoacidosis, visual unsettling influences, and other eye issues, waterfalls and glaucoma and so on. There are different purposes behind reason like a way of life of a man, the absence of activity, sustenance propensities, heftiness, smoking, high cholesterol (Hyperlipidaemia), high blood pressure Abstract Diabetes is a chronic disease or group of metabolic disease where a person suffers from an extended level of blood glucose in the body, which is either the insulin production is inadequate, or because the body's cells do not respond properly to insulin. The constant hyperglycemia of diabetes is related to long-haul harm, brokenness, and failure of various organs, particularly the eyes, kidneys, nerves, heart, and veins. The objective of this research is to make use of significant features, design a prediction algorithm using Machine learning and find the optimal classifier to give the closest result comparing to clinical outcomes. The proposed method aims to focus on selecting the attributes that ail in early detection of Diabetes Miletus using Predictive analysis. The result shows the decision tree algorithm and the Random forest has the highest specificity of 98.20% and 98.00%, respectively holds best for the analysis of diabetic data. Naïve Bayesian outcome states the best accuracy of 82.30%. The research also generalizes the selection of optimal features from dataset to improve the classification accuracy.

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Section: Major Report Statistics From Various Health Organisationsmentioning

confidence: 99%

Analysis of diabetes mellitus for early prediction using optimal features selection

Sneha

Gangil²

2019

J Big Data

271

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“…Type 1 diabetes mellitus is the second most common chronic disease in children in India. It accounts for 5%–10% of all diagnosed cases of diabetes mellitus[ 1 ] and has an incidence of 3 cases/year/100,000 (International Diabetes Federation atlas 7 th edition). It results from a cellular-mediated autoimmune destruction of the β-cells of the pancreas.…”

Section: Introductionmentioning

confidence: 99%

Current indicators of nutritional care in children with type 1 diabetes in India: Do we need a national nutritional guideline?

Kalra

Das

Raghupathy

et al. 2017

Indian J Endocr Metab

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Background:Nutrition is an important pillar of management in children with type 1 diabetes. Indian food is heavily influenced by region, religion, traditions, seasons, and cultural choices. This survey was done to assess current practices and the need for India specific nutritional guidelines for children with type 1 diabetes.Materials and Methods:Two 12-item questionnaires were administered to forty health-care professionals across India. The first questionnaire evaluated current clinical practice indicators for nutrition in these children and second assessed practices for counseling a child on dietary habits.Results:There is great heterogeneity across the country with regard to dietary advice offered to children with type 1 diabetes. 97.5% of the respondents feel there is a need for an Indian dietary guideline for children with type 1 diabetes.Conclusion:There is need of India specific nutritional guidelines that should be made considering key variants such as age, region, cultural preference, economic burden and psychosocial beliefs, to offer guidance to diabetes care professionals.

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“…Young patients living with type 1 diabetes – where the pancreatic beta cells that produce insulin are destroyed because of autoimmunity – require regular insulin therapy to survive. 3 , 4 The incidence of type 1 diabetes in young patients is increasing at a rate of 3% per year. In 2006, the International Diabetes Federation estimated that in India there were ∼5 million young children, <15 years of age, with type 1 diabetes, and it is one of the countries with the highest estimated number of new cases annually (10,900 new cases/year), of which 3–4 million face poverty along with diabetes.…”

Section: Introductionmentioning

confidence: 99%

A qualitative study of perceptions of determinants of disease burden among young patients with type 1 diabetes and their parents in South India

Verloo¹,

Meenakumari²,

Abraham³

et al. 2016

DMSO

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BackgroundDiabetes is a leading threat to public health in India. A huge prevalence of type 1 diabetes among young patients is documented in literature; India is one of the countries with the highest number of new cases per year (10,900), of which 3–4 million face poverty along with diabetes.ObjectiveThe aim of this study was to explore the perceptions of determinants of the disease burden among young patients with type 1 diabetes and their parents.MethodsIn June 2014, perceptions were collected from eleven young patients and five available parents using the critical incident technique.ResultsDisease burdens associated with the management of type 1 diabetes can vary significantly according to the different social and economic determinants facing each household. Determinants associated with good practices in the management of childhood type 1 diabetes included socioeconomic status, unawareness of health complications, and beliefs about nutrition. Coping strategies applied via lifestyle changes included monitoring glycemia and regular checkups by diabetologists. A general lack of awareness about type 1 diabetes in Indian society, stigmatization, and limited access and systematic barriers to the delivery of optimal health care were all perceived to be factors hindering the successful management of chronic type 1 diabetes by young patients and their parents.ConclusionStigmatization, a lack of therapeutic adherence, and the financial strains placed on families, particularly on poor ones, are critical. More emphasis must be put on the prevention of acute and long-term complications and education.

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Approaches in type 1 diabetes research: A status report

Cited by 26 publications

References 108 publications

Analysis of diabetes mellitus for early prediction using optimal features selection

Analysis of diabetes mellitus for early prediction using optimal features selection

Current indicators of nutritional care in children with type 1 diabetes in India: Do we need a national nutritional guideline?

A qualitative study of perceptions of determinants of disease burden among young patients with type 1 diabetes and their parents in South India

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