Knowledge Acquisition for Clinical-Trial Selection Savvas Nikiforou Eugene Fink Lawrence O. Hall...
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![Page 1: Knowledge Acquisition for Clinical-Trial Selection Savvas Nikiforou Eugene Fink Lawrence O. Hall Dmitry B. Goldgof Jeffrey P. Krischer.](https://reader030.fdocuments.in/reader030/viewer/2022032801/56649d545503460f94a30b17/html5/thumbnails/1.jpg)
Knowledge Acquisition for Clinical-Trial Selection
Savvas Nikiforou
Eugene Fink
Lawrence O. Hall
Dmitry B. Goldgof
Jeffrey P. Krischer
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Expert System
The system analyzes a patient’s data and
determines whether the patient is eligible
for clinical trials at the H. Lee Moffitt
Cancer Center.
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Expert System
• Guides a clinician through related questions
• Identifies appropriate medical tests
• Selects matching clinical trials
• Minimizes pain and cost of selection process
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Outline
• Eligibility decisions
• Knowledge base
• Knowledge entry
• Experiments
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Example: Eligibility Criteria
• Female, older than 30
• No prior surgery
• Breast cancer, stage II or III
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Example: Questions
Sex:
Age:
Female
Male
25
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Example: Conclusion
Patient is not eligible
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Example: Questions
Sex:
Age: 35
Female
Male
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Example: Questions
Cancer stage:
Prior surgery? Yes No
I
II
III
IV
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Example: Conclusion
Patient is eligible
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Full Functionality
• Orders and groups the questions
• Considers multiple clinical trials
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Outline
• Eligibility decisions
• Knowledge base
• Knowledge entry
• Experiments
![Page 13: Knowledge Acquisition for Clinical-Trial Selection Savvas Nikiforou Eugene Fink Lawrence O. Hall Dmitry B. Goldgof Jeffrey P. Krischer.](https://reader030.fdocuments.in/reader030/viewer/2022032801/56649d545503460f94a30b17/html5/thumbnails/13.jpg)
Main Objects
• Questions
• Medical tests
• Eligibility criteria
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Types of Questions
• Yes / No
• Multiple choice
• Numeric
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Tests
A medical test answers several questions.
It involves certain pain and cost.
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Eligibility Criteria
• A logical expression that determines eligibility for a specific clinical trial
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Example: CriteriaAND
Age > 30
Prior-surgery = NO
OR
Cancer-stage = II
Cancer-stage = III
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Outline
• Eligibility decisions
• Knowledge base
• Knowledge entry
• Experiments
![Page 19: Knowledge Acquisition for Clinical-Trial Selection Savvas Nikiforou Eugene Fink Lawrence O. Hall Dmitry B. Goldgof Jeffrey P. Krischer.](https://reader030.fdocuments.in/reader030/viewer/2022032801/56649d545503460f94a30b17/html5/thumbnails/19.jpg)
Tests and Questions
Adding tests Modifying a test
Adding yes/no questions
Adding multiple choice questions
Adding numeric questions
Deleting questions
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Adding Tests
Test name:
Cost:
Pain:
Yes/No M-Choice Numeric Deleting
Adding Modifying
45.50
1
Mammogram
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Adding Yes/No Questions
Breast cancer?
• Text
Yes/No M-Choice Numeric
Adding Modifying
Deleting
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Adding Multiple Choice Questions
• Text Options
Yes/No M-Choice Numeric
Adding Modifying
Cancer stage IIIIIIIV
Deleting
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Adding Numeric Questions
• Text Min Max
Tumor size 250
Yes/No M-Choice Numeric
Adding Modifying
Deleting
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Eligibility Criteria
Adding eligibility criteria
Selecting tests
Deleting expressions
Editing questions
Defining an expression
Selecting questions
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Example: Eligibility Criteria
• Female, older than 30
• Breast cancer, stage II
• Post-menopausal or surgically sterilized
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Adding Eligibility Criteria
Adding criteria
Selecting tests
001 Clinical trial A
Trial number Trial name
Deleting expressions
Editing questions
Defining an expression
Selecting questions
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Selecting Tests
General questions
Blood test
Mammogram
Biopsy
Urine test
Adding criteria
Selecting tests
Deleting expressions
Editing questions
Defining an expression
Selecting questions
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Selecting Questions
I II III IVCancer stage:
Age: From: To:0 15030
Post-menopausal? Yes
Surgically sterilized? Yes
Adding criteria
Selecting tests
Deleting expressions
Editing questions
Defining an expression
Selecting questions
Prior surgery?
No
No
NoYes
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Defining an Expression
Cancer-stage = II
Surgically-sterilized = YES
Post-menopausal = YES
Age > 30
Adding criteria
Selecting tests
Deleting expressions
Editing questions
Defining an expression
Selecting questions
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Defining an Expression
AND
Adding criteria
Selecting tests
Deleting expressions
Editing questions
Defining an expression
Selecting questions
Cancer-stage = II
Surgically-sterilized = YES
Post-menopausal = YES
Age > 30
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Defining an Expression
Adding criteria
Selecting tests
Deleting expressions
Editing questions
Defining an expression
Selecting questions
Surgically-sterilized = YES
Post-menopausal = YES
AND
Age > 30
Cancer-stage = II
![Page 32: Knowledge Acquisition for Clinical-Trial Selection Savvas Nikiforou Eugene Fink Lawrence O. Hall Dmitry B. Goldgof Jeffrey P. Krischer.](https://reader030.fdocuments.in/reader030/viewer/2022032801/56649d545503460f94a30b17/html5/thumbnails/32.jpg)
Defining an Expression
Adding criteria
Selecting tests
Deleting expressions
Editing questions
Defining an expression
Selecting questions
Surgically-sterilized = YES
AND
Age > 30
OR
Post-menopausal = YES
Cancer-stage = II
![Page 33: Knowledge Acquisition for Clinical-Trial Selection Savvas Nikiforou Eugene Fink Lawrence O. Hall Dmitry B. Goldgof Jeffrey P. Krischer.](https://reader030.fdocuments.in/reader030/viewer/2022032801/56649d545503460f94a30b17/html5/thumbnails/33.jpg)
Defining an Expression
Adding criteria
Selecting tests
Deleting expressions
Editing questions
Defining an expression
Selecting questions
AND
Age > 30
OR
Post-menopausal = YES
Cancer-stage = II
Surgically-sterilized = YES
![Page 34: Knowledge Acquisition for Clinical-Trial Selection Savvas Nikiforou Eugene Fink Lawrence O. Hall Dmitry B. Goldgof Jeffrey P. Krischer.](https://reader030.fdocuments.in/reader030/viewer/2022032801/56649d545503460f94a30b17/html5/thumbnails/34.jpg)
Outline
• Eligibility decisions
• Knowledge base
• Knowledge entry
• Experiments
![Page 35: Knowledge Acquisition for Clinical-Trial Selection Savvas Nikiforou Eugene Fink Lawrence O. Hall Dmitry B. Goldgof Jeffrey P. Krischer.](https://reader030.fdocuments.in/reader030/viewer/2022032801/56649d545503460f94a30b17/html5/thumbnails/35.jpg)
Experiments
Performance of sixteen novice users
• Entering tests and questions
• Entering eligibility criteria
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0
20
40
60
80
100
0 1 2 3 4
number of a test set
time
per
ques
tion
(sec
)Entering Tests and Questions
Learning curve
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0
20
40
60
80
100
0 1 2 3 4 5 6 7 8 9 10 11
number of a clinical trial
time
per
ques
tion
(sec
)Entering Eligibility Criteria
Learning curve
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Summary
• Learning time: 1 hour
• Adding a test: 2 to 10 minutes
• Building a knowledge base for Moffitt
breast-cancer trials: 8 to 10 hours
• Adding eligibility criteria: 30 to 60 minutes
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Main Results
• Formal model of selection criteria
• Representation of related knowledge
• Friendly interface for knowledge entry