Intelligent HIV/AIDS FAQ Retrieval System Using Neural Networks

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Presentation transcript:

Intelligent HIV/AIDS FAQ Retrieval System Using Neural Networks Godfrey Mlambo & Yirsaw Ayalew Department of Computer Science, University of Botswana IASTED Health Informatics 2014, Gaborone, Botswana

Neural Network Approach Presentation Outline Motivation Challenge ...Mapping Neural Network Approach Background Architecture Results Conclusion

Artificial Neural Network FAQs are commonly used mechanisms for providing information In the area of HIV/AIDS, there are many manual FAQs (e.g., MASA FAQ brochure, IPOLETSE call center manual, etc) Access to such FAQs can be further strengthened using automated system Objective: Develop FAQ Retrieval system using Neural Networks

Challenge of Mapping ... Word sense disambiguity, lexico - grammatical content, arbitrary words e.g. What are symptoms of AIDS? What are signs of AIDS?, how do you know indications of AIDS show, How do you know that you have aids? Many techniques have been used but one promising is artificial neural NN NN mimics the human brain ability to resolve

Artificial Neural Network Approach Basic unit of a NN.

Neural Network Architectures

Multilayer Feedforward Layer NN Architecture

Neural Network FAQ Retrieval Backpropagation Training Rule for Mapping/Classification of HIV/AIDS FAQ

Designing Neural Network System Data Transformation … Feature extraction Feature selection Neural Network Architecture:- Architecture type Determining input, hidden and output neurons Heuristic methods Experimental techniques Teaching mode & learning rule Supervised/Unsupervised/Reinforcement Learning rules Activation Function

Training the NN with HIV/AIDS FAQs

Answering HIV/AIDS FAQ

Experimental Design MATLAB and simulated using the Neural Network Tool 467 HIV/AIDS FAQ build a Corpus ........ MASA booklet IPOLESTE HIV/AIDS FAQ manual, UN AIDS... Neural Network Designed and Trained M(F(FAQn),F(Qm)): [0,1] .... Ranking the Document

Experimental Design System subjected 120 unseen HIV/AIDS FAQ Evaluation done by HIV/AIDS counsellors, Lecturers and students Recall and Rejection Rate evaluation metrics

Sample Page of IHAFR System

Evaluation of the IHAFR System

Conclusion Comparison with a keyword-based FAQ retrieval Systems shows a better recall and rejection rate To enhance performance there i.e. Rejection rate Need to increase corpus size of HIV/AIDS FAQ Need to incorporate other information retrieval techniques