Publications by authors named "S Kasiviswanathan"
Article Synopsis
- The study examined gender disparities in chronic kidney disease (CKD) by analyzing demographic, clinical, and socioeconomic factors among males and females undergoing maintenance hemodialysis in India.
- A total of 1,177 hemodialysis patients were studied, revealing that a higher proportion of males were included, and they tended to have better education and more stable vascular access compared to females.
- Key factors linked to mortality differed by gender: in males, lower educational status and hypoalbuminemia were significant, while in females, factors like heart failure and lack of insurance coverage played a larger role.
Article Synopsis
- Malnutrition and poor food intake are prevalent issues for chronic kidney disease (CKD) patients on maintenance hemodialysis (MHD), affecting their overall health and quality of life (QOL).
- A study involving 107 adult CKD patients showed that their average energy and protein intake significantly fell below recommended levels, with over 75% experiencing inadequate nutrition.
- Despite satisfactory overall QOL, nearly half of the participants reported moderate pain and discomfort, highlighting the need for tailored nutrition counseling and continued support from healthcare teams to improve dietary adherence and QOL.
Background: Artificial Intelligence (AI) plays a pivotal role in the diagnosis of health conditions ranging from general well-being to critical health issues. In the realm of health diagnostics, an often overlooked but critical aspect is the consideration of cost-sensitive learning, a facet that this study prioritizes over the non-invasive nature of the diagnostic process whereas the other standard metrics such as accuracy and sensitivity reflect weakness in error profile.
Objective: This research aims to investigate the total cost of misclassification (Total Cost) by decision rule Machine Learning (ML) algorithms implemented in Java platforms such as DecisionTable, JRip, OneR, and PART.
Memristors-based integrated circuits for emerging bio-inspired computing paradigms require an integrated approach utilizing both volatile and nonvolatile memristive devices. Here, an innovative architecture comprising of 1D CVD-grown core-shell heterostructures (CSHSs) of MoO-MoS is employed as memristors manifesting both volatile switching (with high selectivity of 10 and steep slope of 0.6 mV decade) and nonvolatile switching phenomena (with I/I ≈10 and switching speed of 60 ns).
View Article and Find Full Text PDFArticle Synopsis
- The India Hypertension Control Initiative (IHCI) is a collaborative program aimed at controlling hypertension in India, involving 21,895 adult patients from four different states.
- A significant follow-up assessment revealed that blood pressure (BP) control improved from 26.3% to 59.8% among returning patients, indicating effective management, especially in primary care settings.
- Despite promising results, the initiative faced challenges with patient retention, highlighting the need for strategies to ensure more patients return for ongoing hypertension care.