Blessy Sarah Mathew
Biographic Data
| ID | 9902889 |
|---|---|
| NAME | Blessy Sarah Mathew |
| GIVEN NAMES | Blessy Sarah |
| FAMILY NAME | Mathew |
| SIGNATURE | MATHEW B S |
| AFFILIATIONS | Lovely Professional University |
| ORCID | 0000-0003-4750-5463 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Identifying health risk profiles among older adults in Kerala using machine learning
This study aimed to identify multidimensional health risk profiles in older adults using an integrated machine learning framework that combines unsupervised clustering, dimensionality reduction, and supervised classification. A cross-sectional survey of 800 community-dwelling adults aged 60 years and above in Kerala was analyzed using K-Means clustering based on indicators of digital health literacy, functional difficulty, and self-management cap…
Beyond coverage
Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana (PM-JAY), the biggest publicly financed health insurance program in the world, has substantial use issues, especially in places like Jammu and Kashmir that are affected by conflict. Despite the program’s goal of ensuring equal and cashless access to healthcare, the existing literature does not offer region-specific insights into the actual obstacles preventing its adoption. This study intends to id…
Developing a multidimensional pedagogical framework for safety education in early childhood
Early-childhood safety education is essential for reducing children’s vulnerability to everyday hazards, yet existing approaches remain fragmented and lack comprehensive pedagogical structure. This study integrates evidence from a systematic literature review (SLR) and media-based content analysis to develop a multidimensional framework for safety instruction. First, the SLR identified five overarching dimensions of early-childhood safety educati…
No prominent works on this page.
Identifying health risk profiles among older adults in Kerala using machine learning
This study aimed to identify multidimensional health risk profiles in older adults using an integrated machine learning framework that combines unsupervised clustering, dimensionality reduction, and supervised classification. A cross-sectional survey of 800 community-dwelling adults aged 60 years and above in Kerala was analyzed using K-Means clustering based on indicators of digital health literacy, functional difficulty, and self-management cap…
Beyond coverage
Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana (PM-JAY), the biggest publicly financed health insurance program in the world, has substantial use issues, especially in places like Jammu and Kashmir that are affected by conflict. Despite the program’s goal of ensuring equal and cashless access to healthcare, the existing literature does not offer region-specific insights into the actual obstacles preventing its adoption. This study intends to id…
Developing a multidimensional pedagogical framework for safety education in early childhood
Early-childhood safety education is essential for reducing children’s vulnerability to everyday hazards, yet existing approaches remain fragmented and lack comprehensive pedagogical structure. This study integrates evidence from a systematic literature review (SLR) and media-based content analysis to develop a multidimensional framework for safety instruction. First, the SLR identified five overarching dimensions of early-childhood safety educati…
Agricultural risk and resilience (1 work) · Chronic Disease Management Strategies (1 work) · Cluster analysis (1 work) · Constructivist teaching methods (1 work) · Content analysis (1 work) · Curriculum (1 work) · Descriptive research (1 work) · Descriptive statistics (1 work) · Digital health (1 work) · Disadvantaged (1 work)