An intelligent classifier model for enhancing the decision making process on the Clariisa system

Abstract: LARIISA is a framework that makes use of context-aware to support decision-making and governancein the public health area. This paper presents the CLARIISA, an evolution of LARIISA towards an intelligent classifier model for enhancing the decision making process. Two applications are shown to illustratethe upgrade on the LARIISA system. The first one uses the Bayesian networks on a dengue case. The second uses ontology to manage home care scenarios. In both cases, the contributions related to our framework include patient health diagnosis provided remotely, support for decision making health systems, and context information for context-aware health systems.

Equitable access to health services for children aged 5 to 9 in a medium city of northeasth of Brazil: a result of Family Health Strategy

Abstract: Introduction:
The Brazilian National Health System May Reduce Inequalities In Access To Health Services Through Strategies That Can Reach Those Most In Need With no Access To Care Services.

Objective:
To Identify Factors Associated With The Use Of Health Service By Children Aged 5 To 9 Years In The City Of Sobral, Ceará, Northeastern Brazil.

Results:
Only 558 (17.0%) Children Used Health Care Services In The 30 Days Preceding This Survey. Children With Any Health Condition (or = 3.90) Who Were Frequent Attenders Of Primary Care Strategy Of Organization (the Family Health Strategy, Fhs) (or = 1.81) And Living In The City’s Urban Area (or = 1.51) Were More Likely To Use Health Services. Almost 80% Of Children Used Fhs as Their Referral Care Service. Children From Poorer Families And With Easier Access To Services Were More Likely To Be Fhs Users.

Conclusion:
The Study Showed That Access To Health Services Has Been Relatively Equitable Through The Fhs, a Point Of Entry To The Local Health System.

Social Determinants Of Health; Health Service/utilization; Health Services Accessibility; Equity; Family Health; Child Health Services

CLOUD LARIISA: A CONTEXT-AWARE FRAMEWORK FOR A PUBLIC HEALTH ENVIRONMENT BASED ON CLOUD COMPUTING CONCEPT

LARIISA is a framework that makes use of context-aware and ontology technologies to support decision making and governance in the public health sector. It is able to perceive the status of epidemiological emergencies and adapt itself in real time to a risk situation. This paper presents the LARIISA’s cloud computing version, LARIISA’s second rendition, whose…