Author Archives: Raphaël Girod

Graphing & Plotting

Graphing & Plotting Functions

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Knowledge Modeling with BayesiaLab

Knowledge Modeling with BayesiaLab

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Data Management in BayesiaLab

Data Management in BayesiaLab

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Unsupervised Structural Learning Algorithms

Unsupervised Structural Learning Algorithms

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Network Layout Algorithms

Network Layout Algorithms

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Target Evaluation

Target Evaluation

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Visual Network Analysis

Visual Network Analysis

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Network Analysis Reports

Network Analysis Reports

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Optimization in BayesiaLab

Optimization in BayesiaLab

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How to proceed with Target Mean Analysis ?

Target Mean Analysis

On the basis of a network structure, we can examine the relationships between the factors and a target node.

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How to introduce a target node ?

Introducing a Target Node

It is possible to set a principal variable of interest in this study.

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What about variable clustering ?

Variable Clustering

A tool allows clustering the network variables into group of variables that are close semantically.

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What about data clustering ?

How to design a bayesian Network ?

Bayesian network Design

There are two main ways of building a network:

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How to proceed with Data Import ?

Data Import

To start the analysis with BayesiaLab, we first import the database (such as survey data set), which is laid down as a CSV file.

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What is a Bayesian Network ?

Bayesian network

A Bayesian network is a type of probabilistic graphical model, which can simultaneously represent a multitude of relationships between variables in a system.

The graph of a Bayesian network contains nodes (representing variables) and directed arcs that link the nodes. The arcs represent the relationships of the nodes.

BBN

Whereas traditional statistical models are of the form y=f(x), Bayesian networks do not have to distinguish between independent and dependent variables. Rather, a Bayesian network approximates the entire joint probability distribution of the system under study.

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Big Data for Development

Big data

 

http://www.unglobalpulse.org/sites/default/files/BigDataforDevelopment-GlobalPulseMay2012.pdf

 

Source: UNGlobalPulse June 2012

That report is highlighting some key features about the importance of data and analytics.

EXCERPTS:

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Bayesian Networks from a Public Health Practitioner’s Perspective

 A bayesian network can be viewed

  • as a practically feasible form of knowledge representation
  •  attractive for exploring and explaining complex problems

Typically, a multi-level hierarchical structure could be characterized , in the present case with four levels,

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Report

SURVEY

Maternal health

Little african girl at wooden fence with thumbs up.

REPORT Household Baseline Survey

 

 

 

CLUSTERING OF VARIABLES

Family medecine

 

REPORT Perception of students on Family Medicine

 

 

 

 

demographic

 

REPORT Demographic Surveillance System

About Bayesian statistics

Over the last 25 years, Bayesian networks have emerged as a practically feasible form of knowledge representation. With the ever-increasing computing power, Bayesian networks are now a powerful tool enabling deep understanding of complex, multi-dimensional problem domains (Lynch., 2007). Their computational efficiency and inherently visual structure make Bayesian networks attractive for exploring and explaining complex problems.

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Early stages of performance measurement

Indeed, numerous technical questions arise when analyzing and interpreting performance measures. Among the most important are: what has caused the observed performance and to what practitioners, organizations or agencies should variations in performance be attributed? In the best case, the present services could also contribute to the answers of these questions.

As noted by the previous WHO Director General Dr Gro Harlem Brundtland in her introductory message related to the issuance of the world health report: Health Systems: Improving Performance (June 2000);

Quote 1, “The way health systems are designed, managed and financed affects people’s lives and livelihoods. The difference between a well-performing health system and one that is failing can be measured in death, disability, impoverishment, humiliation and despair…”

The ongoing challenge, as already expressed in the document is still to gain a better understanding of the factors that make a difference between failure and success.

Quote 2, “If policy-makers are to act on measures of performance, they need a clear understanding of the key functions that health systems have to undertake. The report defines four key functions: providing services; generating the human and physical resources that make service delivery possible; raising and pooling the resources used to pay for health care; and, most critically, the function of stewardship – setting and enforcing the rules of the game and providing strategic direction for all the different actors involved.”

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International health programmes

International programs in global health represent the commitment and determination of many Government and private donors to prevent suffering, save lives, and create a brighter future for families in the developing world. International organizations’ commitment to improving global health includes confronting global and complex health challenges  (Travis, 2004) through improving the quality, availability, and use of essential health services.

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Performance based approach

Performance-based funding  (PBF) was developed to improve the quality of projects by funding results attained rather than funding according to the size of an institution or standard budgeting procedures.

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