Výsledky vyhledávání - "Madam Chakradar"

A Non-invasive Approach to Identify Insulin Resistance with Triglycerides and HDL-c Ratio Using Machine learning

Autor: Anuj Rani, Manoj Kumar, Achyut Shankar, Alok Aggarwal, Madam Chakradar, Xiaochun Cheng

Publikováno v: Neural Processing Letters. 55:93-113

Identification and quantification of insulin resistance require specific blood test which is complex, time-consuming, and much more invasive, making it difficult to track the changes daily. With the advancement in machine learning approaches, identif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1fbed01cfa6a7adf95a8f7a023e96b3b
https://doi.org/10.1007/s11063-021-10461-6

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A Machine Learning Based Approach for the Identification of Insulin Resistance with Non-Invasive Parameters using Homa-IR

Autor: Madam Chakradar

Publikováno v: International Journal of Emerging Trends in Engineering Research. 8:2055-2064

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9857b8625456f4babb44fe267b414e22
https://doi.org/10.30534/ijeter/2020/95852020

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COVID-19 Risk Prediction for Diabetic Patients Using Fuzzy Inference System and Machine Learning Approaches

Autor: Alok Aggarwal, Madam Chakradar, Manpreet Singh Bhatia, Manoj Kumar, Thompson Stephan, Sachin Kumar Gupta, S. H. Alsamhi, Hatem AL-Dois

Publikováno v: Journal of healthcare engineering. 2022

Individuals with pre-existing diabetes seem to be vulnerable to the COVID-19 due to changes in blood sugar levels and diabetes complications. As observed globally, around 20–50% of individuals affected by coronavirus had diabetes. However, there is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6db8670e6dd282a4981f01f6abb41851
https://pubmed.ncbi.nlm.nih.gov/35368915

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