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Presented By

ABHILASH B S

S7 CSE

09419001

PAACET

iMED : An IntelligentMedical Web Search

Engine

11-07-2012

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INTRODUCTION

Search engine which help Internet users to

search formedical information

Uses domain-specific medical knowledge

Several key techniques to improve usability

and search result quality

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BASIC CONCEPTS

Clustering : Grouping of similar objects

Agglomerative Hierarchical Clustering

Divisive

Agglomerative: Fusion of n objects intogroups

Divisive : Seperating n objects intofiner groupings

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p,q,r,s,t

p,qr,s,t

p q r

s,t

s t

Fig 1: Example For Hierarchical Clustering

Divisive Agglomerative

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EXISTING SYSTEM

Keyword and Symptom search

Cannot express the absence of certain symptoms

Undesirable search results

Results based on users medical knowledge

Time Consuming

Google Health, Healthline , Med Search

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PROPOSED SYSTEM

Questionnaire facility

Make multiple queries from users answer to

previous questions

Perform search using queries

Provide diversified search results

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USER INTERFACE

Query Interface Overview

Fig 2 : The first screen of the query interface

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Symptoms and Signs

Fig 3: The first level of thequestionnaire

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Cough

sputum Little or no sputum

purulent non-purulent

with fever no fever .

pneumonia,

abscess,

tuberculosis

chronic

bronchitis,

bronchiectasis,

foreign body,

ca of lung,tuberculosis

dyspnea no dyspnea

emphysema,

chronic

pulmonary

fibrosis,

early pulmonary

embolism, early

congestive heart

failure,mediastinal

tumors

Viral upper

respiratoryinfection, lung

tumor, reflux

esophagitis with

aspiration,

smoking,

toxic fumes, hayfever, early

primary atypical

pneumonia,

silicosisFig 4 : The diagnostic decision tree for the

symptom cough

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Question Pages

Fig 5: The first question page that isgenerated for the symptom cough

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QuestionPages()

Fig 6 : The question page generated for medicalprofessionals

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SEARCH TECHNIQUES

After obtaining searchers answers.. Step 1 :Forming Queries

{S1} : medical phrases with weight = 1

{S2} : medical phrases with weight < 1

Step 2 : Produce search result pages

Step 3 : Generate snippets

Step 4 : Suggest related medical phrases Phrases with larger term frequency ( tf )

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ADVANTAGES

Questionnaire based query interface to guideusers

Avoid undesirable results

User Friendly

Provide diversified search results

Requires no special training

DISADVANTAGES

Maintenance is very difficult

Update database frequently

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FUTURE ENHANCEMENTS

Can be made more realistic by consideringthe age, sex , occupation of user

Can be made more efficient by addingdigital images, health tips etc..

This intelligent search engine will beavailable in near future

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CONCLUSION

iMed consider the unique requirements ofmedical search

Features are very attractive to users with littlemedical knowledge

Increased the quality of search result

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REFERENCES

1. G.Luo.Tang, and H.Yang et al. Med Search: ASpecialized Search Engine for MedicalInformation. 1175-1176

2. Ricardo-Yates Modern Information retrieval

3. R.D Collins Algorithmic Diagnosis OfSymptoms And Signs A cost Effective

Approach4. http://cbsnews.com/stories/2006/06/17/evening

news/main1726479.shtml,2006

5. http://www.google.com/top/health

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QUESTIONS