A Comparative Study of Anthropometric Measurements between Tribal and Non-Tribal Girls of Tripura

Saha, Susmita

doi:10.31901/24566799.2018/16.1-2.415

Cited by 3 publications

(3 citation statements)

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“…Since the time of rapid growth of publications on ionic liquids (ILs) back in the 1990s, vibrational spectroscopy has continued to be one of the most powerful and leading spectroscopic tools to understand the ILs. [1][2][3] Though both infrared (IR) and Raman spectroscopies can provide insights on ILs, Raman spectroscopy is found to provide much better insight on the conformations of cation and anion, anion-cation H-bonding interactions and the nature of ionic interactions, particularly the role played by ionic interactions which results in liquid structure.…”

Section: Introductionsmentioning

confidence: 99%

Water in ionic liquids: Raman spectroscopic studies

Saha

Verma

Bandyopadhyay

2022

J Raman Spectroscopy

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The application of Raman spectroscopy in studies of ionic liquid (IL) systems having water is presented here. The presence of water can be intentional or unintentional. Since water severely affects IL's physical and chemical properties, it is very important not only to identify but also to understand the role of water. It will be evident from this short review that Raman spectroscopy has immensely helped to understand the IL/water mixture at the molecular level.

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Section: Introductionsmentioning

confidence: 99%

Water in ionic liquids: Raman spectroscopic studies

Saha

Verma

Bandyopadhyay

2022

J Raman Spectroscopy

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“…Precise prediction of mortality risk in heart failure patients is crucial for formulating personalized treatment plans and enhancing patient survival. This study addresses this challenging issue by introducing the Seq2Seq model from deep learning, aiming to effectively and accurately predict the mortality rates of heart failure patients [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Applications of deep learning models in precision prediction of survival rates for heart failure patients

Zhang,

2024

THC

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BACKGROUND: Heart failure poses a significant challenge in the global health domain, and accurate prediction of mortality is crucial for devising effective treatment plans. In this study, we employed a Seq2Seq model from deep learning, integrating 12 patient features. By finely modeling continuous medical records, we successfully enhanced the accuracy of mortality prediction. OBJECTIVE: The objective of this research was to leverage the Seq2Seq model in conjunction with patient features for precise mortality prediction in heart failure cases, surpassing the performance of traditional machine learning methods. METHODS: The study utilized a Seq2Seq model in deep learning, incorporating 12 patient features, to intricately model continuous medical records. The experimental design aimed to compare the performance of Seq2Seq with traditional machine learning methods in predicting mortality rates. RESULTS: The experimental results demonstrated that the Seq2Seq model outperformed conventional machine learning methods in terms of predictive accuracy. Feature importance analysis provided critical patient risk factors, offering robust support for formulating personalized treatment plans. CONCLUSIONS: This research sheds light on the significant applications of deep learning, specifically the Seq2Seq model, in enhancing the precision of mortality prediction in heart failure cases. The findings present a valuable direction for the application of deep learning in the medical field and provide crucial insights for future research and clinical practices.

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“…Therefore, adolescents with the same sequential age will vary significantly in physical appearance, which leads undeviating importance in nutrition requirements for children and adolescents. At 13 years of age boys were completed their linear growth spurt related to pubescence and practiced important development in musculature can have remarkably totally different in nutrition and energy requirements than those 13 years old boys who nonetheless practiced pubescence [2,3].…”

Section: Introductionmentioning

confidence: 99%

The Relationship Between Height Components and Bi-iliac/Bi-acromial Index with Blood Pressure Among Chakma Tribal Children of Tripura Aged 6-16 Years

Roy¹,

Sreedhar²,

Saha³

2020

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Blood pressure in pre-pubertal and pubertal age group is now an alarming situation to health professionals worldwide. Little knowledge is still with us about how different body composition parameters correlate with blood pressure. Blood pressure (BP) correlates with various factors like weight, height, sitting height (SH) among children and adolescents in developed countries with upper-middle socio-economic society. Intention of present research work is to contrast sitting height, relative sitting height ratio (Cormic Index), biiliocristal to biacromial ratio and BMI of rural Chakma boys and girls between the age 6-16 years of Tripura, North-eastern State, with the National Health and Nutrition Examination Survey III (NHANESIII) reference data to conclude the correlation among sitting height, relative sitting height ratio, biiliocristalbiacromial ratio and BMI with BP among Chakma children of lower socio-economic group of Tripura. A total of 1350 children (676 boys and 674 girls) of 12 government schools from Chakma community aged 6-16 years were selected by stratified cluster random sampling method of North and Dhalai district of Tripura, undergo blood pressure and anthropometric measurements using standard techniques. Multiple regression is applied for establishing the relationship between height, sitting height, relative sitting height ratio, biiliocristal-biacromial ratio and BMI with Systolic blood pressure (SBP) and Diastolic blood presure (DBP) among these children. In comparison with NHANES III reference data, Chakma children aged 6 to 16 years showed lower mean sitting height value. In the multiple regression analysis, sitting height is positively associated with systolic BP (β=0.893; 95% Ci=0.964-0.966) and diastolic BP (β=0.505; 95% Ci=0.935-0.938) in both the sexes. The results of present research work is statistically significant for both sitting height and cormic index with systolic BP (β=0.650; 95% Ci=0.963-0.970 and β=0.103; 95% Ci=0.963-0.970 respectively), whereas only sitting height remains significant with diastolic BP (β=3.519; 95% Ci=0.934-0.946) after being adjusted for age, gender and BMI among Chakma children. The present findings recommended a must large population based research work after being adjusted for factors like dietary habits, athletic performance, salt intake, socio-economic status etc. for accurate estimation of predominance of hypertension among Northeastern children and adolescents. Significant positive association was found between systolic and diastolic blood pressure together with the height, sitting height, relative sitting height ratio among studied population.

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A Comparative Study of Anthropometric Measurements between Tribal and Non-Tribal Girls of Tripura

Cited by 3 publications

References 10 publications

Water in ionic liquids: Raman spectroscopic studies

Water in ionic liquids: Raman spectroscopic studies

Applications of deep learning models in precision prediction of survival rates for heart failure patients

The Relationship Between Height Components and Bi-iliac/Bi-acromial Index with Blood Pressure Among Chakma Tribal Children of Tripura Aged 6-16 Years

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