scholarly journals Semantic models for assessing the influence of a combination of factors on the development of diseases

2021 ◽  
Vol 11 (4) ◽  
pp. 464-477
Author(s):  
V.V. Gribova ◽  
◽  
D.B. Okun ◽  
E.A. Shalfeeva

The analysis of approaches and solutions to the problem of risk assessment and prognosis of conditions and development of diseases is presented. It is shown that the implementation of software services on various platforms complicates the possibility of their comprehensive use and the choice between the available solutions. This has risen the urgency of creating a unified semantic model of diseases that integrates various methods and approaches to solving this problem and accumulates knowledge about risks and prognosis in a unified information space. A new semantic model is proposed to take into account influence of a combination of factors on development of various events that threaten health and life. The feature of the model is its independence from a specific disease or a group of diseases, which allows it to be used in various branches of medicine. This model has been tested on the IACPaaS platform. A software solver has been implemented that allows generating a clear explanation based on the knowledge base and analysis of the patient's electronic medical record. The application of the new model for the formation of knowledge is shown on the example of risk assessment and prognosis of cardiovascular events.

2019 ◽  
pp. 204748731989488 ◽  
Author(s):  
Carlos Fernández-Labandera ◽  
Eva Calvo-Bonacho ◽  
Pedro Valdivielso ◽  
Luis Quevedo-Aguado ◽  
Paloma Martínez-Munoz ◽  
...  

Aims Our primary objective was to improve risk assessment for fatal and non-fatal cardiovascular events in a working population, mostly young and healthy. Methods We conducted a prospective cohort study to derive a survival model to predict fatal and non-fatal 10-year cardiovascular risk. We recruited 992,523 workers, free of diagnosed cardiovascular disease at entry, over six years, from 2004–2009. We divided the sample into two independent cohorts: a derivation one (626,515 workers; from 2004–2006) and a temporal validation one (366,008 workers; over 2007–2009). Then, we followed both cohorts over 10 years and registered all fatal and non-fatal cardiovascular events. We built a new risk calculator using an estimation of cardiovascular biological age as a predictor and named it IberScore. There were remarkable differences between this new model and Systematic Coronary Risk Evaluation (SCORE) (in both the specification and the equation). Results Over the 10-year follow-up, we found 3762 first cardiovascular events (6‰) in the derivation cohort. Most of them (80.3%) were non-fatal ischaemic events. If we had been able to use our model at the beginning of the study, we had classified in the ‘high-risk’ or ‘very high-risk’ groups 82% of those who suffered a cardiovascular event during the follow-up. All the post-estimation tests showed superior performance (true positive rate: 81.8% vs 11.8%), higher discrimination power and better clinical utility (standardised net benefit: 58% vs 13%) for IberScore when compared to SCORE. Conclusion Risk assessment of fatal and non-fatal cardiovascular events in young and healthy workers was improved when compared to the previously used model (SCORE). The latter was not reliable to predict cardiovascular risk in our sample. The new model showed superior clinical utility and provided four useful measures for risk assessment. We gained valuable insight into cardiovascular ageing and its predictors.


2016 ◽  
Vol 17 (3) ◽  
pp. 244-248 ◽  
Author(s):  
James L. Rudolph ◽  
Kelly Doherty ◽  
Brittany Kelly ◽  
Jane A. Driver ◽  
Elizabeth Archambault

2011 ◽  
Vol 18 (6) ◽  
pp. 859-867 ◽  
Author(s):  
Adam Wright ◽  
Justine Pang ◽  
Joshua C Feblowitz ◽  
Francine L Maloney ◽  
Allison R Wilcox ◽  
...  

2014 ◽  
Vol 24 (6) ◽  
pp. 1003-1009 ◽  
Author(s):  
Sue V. Petzel ◽  
Rachel Isaksson Vogel ◽  
Jena McNiel ◽  
Anna Leininger ◽  
Peter A. Argenta ◽  
...  

ObjectiveWe sought to evaluate an electronic referral form to increase referral for genetic risk assessment of women with newly diagnosed epithelial ovarian cancer.MethodsA form summarizing referral for genetic counseling for women with ovarian cancer was introduced into the electronic medical record allowing gynecologic oncologists to electronically submit a request for genetic services. Analysis compared patient and provider characteristics for women newly diagnosed with ovarian, fallopian tube, and primary peritoneal cancer referred 1 year before and after introducing the form. All patients were seen in a single fee-for-service university-based cancer center clinic.ResultsThere were 86 newly diagnosed ovarian cancer patients seen before and 83 seen after the introduction of the electronic referral form. Most lived in the metropolitan area and had stage III to IV disease, serous histology, a documented family history, and a treating oncologist who was less than 10 years from completion of fellowship. Postintervention referral rates increased from 17% to 30% (P = 0.053). Factors best predicting referral were whether the patient was seen after the intervention (P = 0.009), resided in the metropolitan area (P = 0.006), and had been identified as at high hereditary risk (P < 0.0001). Sixty percent of the referred patients participated in counseling. There were no differences in baseline characteristics of the referred patients before and after the intervention.ConclusionsReferral rates increased with the introduction of an electronic medical record referral form suggesting that streamlining the physician referral process might be effective at increasing referrals for cancer genetic risk assessment.


Suchttherapie ◽  
2020 ◽  
Vol 21 (04) ◽  
pp. 189-193
Author(s):  
R. Michael Krausz ◽  
Farhud Shams ◽  
Maurice Cabanis

ZusammenfassungInsbesondere während der aktuellen Corona-Pandemie hat der Gebrauch virtueller Lösungen in der Medizin international stark zugenommen. Es gibt eine zunehmende Akzeptanz gerade auch in dem Bereich der hausärztlichen Versorgung, der Behandlung psychischer Störungen und der Abhängigkeitserkrankungen.Die Entwicklung ist international unterschiedlich, v. a, wenn man die USA und Kanada auf der einen Seite und Europa, insbesondere Deutschland, andererseits vergleicht. In Nordamerika hat bei dem Einsatz von moderner Technologie die Einführung von „Electronic Medical Record Systems“ eine dominierende Rolle gespielt. Diese ist insbesondere auf Abrechnung und Dokumentation zu Versicherungszwecken fokussiert. Daneben gibt es zunehmend Apps, die spezifische therapeutische Ansätze zu implementieren helfen. Die Anwendung virtueller Ansätze im Suchtbereich ist begrenzt, aber in Teilen sehr innovativ und auf deutsche Verhältnisse anwendbar. Wie in Europa gibt es auch in Nordamerika nur sehr begrenzte Forschungskapazitäten und prinzipiell Widerstand bei den medizinischen Berufsgruppen bezüglich der Anwendungsmöglichkeiten und der Rolle im Behandlungsprozess. Mehr Kooperation würde international zu einer Beschleunigung der Entwicklung und der Etablierung gemeinsamer Standards beitragen sowie die Behandlungssysteme bedeutend verbessern.


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