Page 155 - FULL REPORT 30012024

importance of tailored healthcare solutions that consider specific regional and

demographic factors to ensure efficacy and applicability.

6.3 Recommendation

This section presents key recommendations tailored for future researchers,

with the aim of advancing the field and building upon the insights gained
from this research. These recommendations are formulated to address

existing constraints and explore potential areas for further development.

i. Collaboration with Healthcare and Research Institutions

Future research should prioritize forging partnerships with healthcare
and research entities. This collaboration is vital for overcoming data

limitations by accessing a wider array of anonymized patient data,
particularly data reflective of specific demographics, such as the

Malaysian population. Enhanced access to diverse and comprehensive

data sources will significantly improve the accuracy and applicability
of machine learning models in predicting stroke risks, thereby tailoring

predictions more closely to the target demographic.

ii. Integration of Real-Time Health Data into Dashboards

To address the limitation of using data only up to 2021, it is
recommended to integrate real-time health data into the dashboard

system. This approach will transform the dashboards from static
information displays to dynamic visualization tools. Real-time data

integration will allow for more timely and relevant health assessments,
making the dashboard a more effective tool for users seeking current

health insights.

138