Abstract
In the realm of health, causality often embodies multifaceted and complex relationships, encapsulating a blend of genetic, environmental, and lifestyle determinants. Delving into these causal pathways and elucidating the causes and consequences within diabetes care bears paramount significance for a multitude of reasons. The identification of causal attributes associated with diabetes has the potential to aid in the prevention of this metabolic disorder. Moreover, understanding causality can engender personalized care, tailoring treatment strategies to meet the unique needs of individuals afflicted with diabetes. Beyond individual care, the insight derived from causality can bolster the efficacy of treatment outcomes and play an instrumental role in the innovation of new pharmaceuticals and therapeutic modalities. On a societal scale, comprehending the cause-and-effect relationships in diabetes can inform policy development, thereby enhancing public health initiatives. Through a thorough understanding of the causal dynamics underlying diabetes, educational and awareness programs can be designed with increased efficacy, thereby enabling individuals to make more informed decisions pertaining to their health. Consequently, a detailed, multifaceted exploration of these causal relationships is vital for efficacious diabetes management and prevention.
| Original language | English |
|---|---|
| Title of host publication | Decision Support System for Diabetes Healthcare |
| Subtitle of host publication | Advancements and Applications |
| Publisher | River Publishers |
| Pages | 1-14 |
| Number of pages | 14 |
| ISBN (Electronic) | 9788770041362 |
| ISBN (Print) | 9788770041669 |
| Publication status | Published - 20-12-2024 |
All Science Journal Classification (ASJC) codes
- General Economics,Econometrics and Finance
- General Business,Management and Accounting
