A new approach to prevent cardiovascular diseases based on SCORE charts through reasoning methods and mobile monitoring
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Presentation at UCAmI&IWAAL2012.
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A new approach to prevent cardiovascular diseases based on SCORE charts through reasoning methods and mobile monitoring
- 1. A new approach to prevent cardiovascular diseases based on SCORE charts through reasoning methods and mobile monitoring J. Fontecha, D. Ausín, F. Castanedo, D. López-de-Ipiña, R. Hervás, J. Bravo MAmI Research Lab DeustoTech Castilla-La Mancha University University of Deusto Ciudad Real, Spain Bilbao, Spain
- 2. AAL Monitoring Applications • Adoption of ICT technologies for: • Helping people to improve their quality of life • Serving users in terms of usability • Technologies for Continuous Monitoring • Vital signs Use of biometric devices • In addition patient record AAL Monitoring Applications CVD Risk Estimation Blood Pressure Monitoring Reasoning Module SWRL Rule Example System integration 2 Conclusions & Future Work
- 3. CVD Risk Estimation (I) SCORE (Systematic Coronary Risk Evaluation Project) European and Mediterranean Countries Sex Smoker / Non-smoker Age Systolic BP level Cholesterol level Country AAL Monitoring Applications CVD Risk Estimation Blood Pressure Monitoring % CVD Reasoning Module SWRL Rule Example System integration 3 Conclusions & Future Work
- 4. CVD Risk Estimation (II) • Goal: “Estimation of CVD risk based on reasoning engine & MoMo Framework*”. Supporting clinical decisions. ObjectProperty starts domain Class range Ontology PatientProfile ModuleDefinition range ObjectProperty domain stores unionOf -Generic Class Class IndividualProfile domain ObjectProperty domain ObjectProperty has_a range Ontology Diseases Vocabulary range - Adaptive Sensor has Class Activities Record range domain MoMo Framework DataTypePropery <time> DataTypePropery time_measure <time> domain ObjectProperty domain date_begin DataTypePropery name range Class domain - Remote <int> Measure val_measure ObjectProperty DataTypePropery ObjectProperty <time> last_activi ObjectProperty has_a range date_end sends domain domain range domain ObjectProperty calculates range Class Class domain ObjectProperty Trend - Mobile Ontology has Activity domain range ObjectProperty domain Mobile generates Device domain range DataTypePropery DataTypePropery domain <string> <time> Class level date_begin ObjectProperty FormatVisualisation DataTypePropery range <time> uses date_end Patient record AAL Monitoring Applications MoMOntology CVD Risk Estimation OWL + SWRL Rules Biometric device Blood Pressure Monitoring Reasoning Module * V. Villarreal, J. Bravo, R. Hervas, MoMo: A Framework Proposal for Patient Mobile Monitoring, Proceedings of the 5th SWRL Rule Example Conference of the Euro-American Association on Telematics and Information Systems. EATIS 2010. Panama. 2010, September System integration 22-24th. ACM Publication.. 4 Conclusions & Future Work
- 5. Blood Pressure Monitoring • European Guidelines on CVD prevention Check BP frequently How many times? It depends on health condition & patient record Bluetooth BP meter Mobile App AAL Monitoring Applications CVD Risk Estimation Reasoning CVD Risk Blood Pressure Monitoring module Reasoning Module SWRL Rule Example Factors from patient record System integration 5 Conclusions & Future Work
- 6. Reasoning Module (I) • Following SCORE standard method INPUTS Variable Description Type Range Sex Gender of the person Binary Male or Female Age Age of the person Discrete [40,50,55,60,65] Smoker Indicates if the person smokes Binary True or False Cholesterol Cholesterol level (mmol/L) Double [4,5,6,7,8] Blood Average of Systolic Blood Discrete [120,140,160,180) Pressure Pressure(mmHg) High Risk Indicates if the person lives in a Binary True or False AAL Monitoring Applications Country high risk country CVD Risk Estimation Blood Pressure Monitoring Reasoning Module SWRL Rule Example System integration Reasoning engine 6 Conclusions & Future Work
- 7. Reasoning Module (II) • Following SCORE standard method OUTPUTS Risk Percentage Result If a user presents a risk of 15% and over Very High If the risk is in the range 10% - 14%. High Inputs Single Output User presents a risk from 5% to 9%. Mid High User presents a risk from 3% - 4%. Mid If the risk is 2%. Mid Low Rule If the risk presented corresponds to 1%. Low AAL Monitoring Applications No risk is presented None CVD Risk Estimation Blood Pressure Monitoring Reasoning Module SWRL Rule Example System integration Reasoning engine 7 Conclusions & Future Work
- 8. Reasoning Module (III) Patient Profile Pellet MoMOntology OWL API + SWRL Rules Antecedents Consequent • More than 250 rules have been described according to SCORE charts. Input Input AAL Monitoring Applications Input Output … Output CVD Risk Estimation Input Blood Pressure Monitoring Input Reasoning Module Input SWRL Rule Example … System integration … 8 Conclusions & Future Work
- 9. SWRL Rule Example Pick up an individual which is a Patient Where does she live? talismanPlus:Patient(?patient) ^ talismanPlus:livesIn(?patient,?country)^ Is she a female? talismanPlus:LowCVDRiskCountry(?country)^ talismanPlus:isMale(?patient,?isMale)^ sqwrl:equal(?isMale,false)^ How old is she? talismanPlus:isYearsOld(?patient,?years)^ swrlb:greaterThanOrEqual(?years,40)^ Does she smoke? swrlb:lessThan(?years,50)^ talismanPlus:isSmoker(?patient,?smoke)^ Obtain her record sqwrl:equal(?smoke,false)^ talismanPlus:hasRecord(?patient,?history)^ Check her systolic blood pressure talismanPlus:hasTest(?history,?systolic)^ talismanPlus:SystolicBloodPressureAvgTest(?systolic)^ talismanPlus:hasSystolicBloodPressure(?systolic,?systolicMeasure)^ Check cholesterol swrlb:greaterThanOrEqual(?systolicMeasure,120)^ swrlb:lessThan(?systolicMeasure,160)^ talismanPlus:hasTest(?history,?cholesterol)^ talismanPlus:CholesterolTest(?cholesterol)^ talismanPlus:hasCholesterol(?cholesterol,?cholesterolMeasure)^ swrlb:greaterThanOrEqual(?cholesterolMeasure,4)^ AAL Monitoring Applications swrlb:lessThan(?cholesterolMeasure,6) CVD Risk Estimation Blood Pressure Monitoring Set her CVD risk Reasoning Module talismanPlus:hasCVDRisk(?patient,”none") SWRL Rule Example System integration 9 Conclusions & Future Work
- 10. Integration in a distributed system • Two mobile apps + One reasoning engine + Web services AAL Monitoring Applications CVD Risk Estimation Blood Pressure Monitoring Reasoning Module SWRL Rule Example System integration 10 Conclusions & Future Work
- 11. Conclusions and Future Work • A system to monitor the blood pressure calculating CVD Risk applying the SCORE method. • Using OWL + SWRL Rules to create a reasoning engine. • We propose the integration in a more complex system • More clinical factors • New rules • Create a set of recommendations from the new rules • Deploy the system in a real AAL scenario • Extend the applications and the reasoning module to monitor AAL Monitoring Applications CVD Risk Estimation dietary habits & physical activity, not only vital signs. Blood Pressure Monitoring Reasoning Module SWRL Rule Example System integration 11 Conclusions & Future Work
- 12. A new approach to prevent cardiovascular diseases based on SCORE charts through reasoning methods and mobile monitoring J. Fontecha, D. Ausín, F. Castanedo, D. López-de-Ipiña, R. Hervás, J. Bravo MAmI Research Lab DeustoTech Castilla-La Mancha University University of Deusto Ciudad Real, Spain Bilbao, Spain