an intelligent searching for medical world-ppt

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1. Introduction2. Basic Concepts3. Overview4. User Interfaces5.

Search Techniques6. Experimental Results7. Overall Results8. Advantages9. Limitations10. Future Enhancement11. Conclusion12. Reference

2/21/2012 5:15 AMAn Intelligent Searching for Medical

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Search Engine which help Internet users to

search for medical information.

Questionnaire facility.

Make multiple queries from users answer to

questions.

Perform search using queries.

Search results form multilevel hierarchy.

Medical phrases will be the result.


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Clustering

Grouping of objects which are similar.

Two types of Hierarchical clustering1. Agglomerative-Forms n objects into

groups.

2. Divisive- Separate n objects into finergroupings.


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Example For Hierarchical Clustering

Divisive Agglomerative


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p,q,r,s,t

p,qr,s,t

p q r

r,s

s t


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Here we can divide it into 3 sections say

User interface.Search Techniques.

Experimental Results.


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`Minimize searchers effort

`Easy accessible to users without

much medical knowledge`Be tolerant with imprecise user

inputs

`Allow incomplete inputs


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`Query interface Overview

`Symptoms and Signs

`Question Pages


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2 cases

Giving appropriate keywords

Questionnaire based interface


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` Steps involved are

o Generate questions based on Symptoms selected.

o Construct diagnostic decision tree.

o Question for the next page is based on first questions

answer.

o Each question page contain one or more questions

when1.User search for multiple Symptoms.

2.Multiple descendant branches in the tree.


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` Use Web Crawlers

` Use MeSH ontology to identify medical

phrases

` After crawled the web pages

` All the HTML comments are removed

` Stop words are dropped

`Noisy information are deleted

` Forward and inverted index are created


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` Step 1: Form queries

` Step 2:Produce search result pages

` Step 3:Generate snippets

` Step 4:Suggest related medical phrases

1)Generate candidate medical phrases

2)Ranking medical phrases


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`Two kinds of experiment

`Short Query scenario experiment

`Long Medical case experiment


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` Relevance and diversity judged by usefulness.

` A page P is relevant iff

Score(P)=1;

Otherwise Score(P)=0;

where Score is the usefulness score


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` In this we use real medical case records from

` FMOD- Family Medical Online Database

` USMLE-United States Medical Licensing

Examination


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rNo: of representative web pages foreach medical phrase

S no: of representative web pages for

each query


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`Questionnaire based query interface

to guide searchers

`Avoid unnecessary search results`User friendly

`Provide diversified search results


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` Maintenance is very difficult.


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` This intelligent search engine will be

available in near future.


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` Use domain specific medical knowledge.

` Consider unique requirements of medical

search.

` Avoid user to form their own queries.

` Gives only most important information to the

user.

` Does not require much training


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` http://www.medstory.com, 2007.

` http://www.google.com/Top/Health,2007

Books

IEEE International Conference On Data Engineering

Publication Date: 10th April 2009

On Pages: 1379-1390

R.D Collins Algorithmic Diagnosis Of Symptoms And

Signs A cost Effective Approach

Ricardo-Yates Modern Information retrieval


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an intelligent searching for medical world-ppt

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