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A Comparative Study Of Defeasible Argumentation And Non-Monotonic Fuzzy Reasoning For Elderly Survival Prediction Using Biomarkers, Lucas Rizzo, Ljiljana Majnaric, Luca Longo
A Comparative Study Of Defeasible Argumentation And Non-Monotonic Fuzzy Reasoning For Elderly Survival Prediction Using Biomarkers, Lucas Rizzo, Ljiljana Majnaric, Luca Longo
Conference papers
Computational argumentation has been gaining momentum as a solid theoretical research discipline for inference under uncertainty with incomplete and contradicting knowledge. However, its practical counterpart is underdeveloped, with a lack of studies focused on the investigation of its impact in real-world settings and with real knowledge. In this study, computational argumentation is compared against non-monotonic fuzzy reasoning and evaluated in the domain of biological markers for the prediction of mortality in an elderly population. Different non-monotonic argument-based models and fuzzy reasoning models have been designed using an extensive knowledge base gathered from an expert in the field. An analysis of …
Mortality Risk Factors In Community Dwelling Elderly - Knowledge Base, Lucas Middeldorf Rizzo, Ljiljana Majnaric, Luca Longo
Mortality Risk Factors In Community Dwelling Elderly - Knowledge Base, Lucas Middeldorf Rizzo, Ljiljana Majnaric, Luca Longo
Other resources
No abstract provided.
First Trimester Serum Biomarkers To Predict Gestational Diabetes In A High-Risk Cohort: Striving For Clinically Useful Thresholds, Siobhan M. Corcoran, Natalie Achamallah, John O'Loughlan, Philip Stafford, Pat Dicker, Fergal D. Malone, Fionnuala Breathnach
First Trimester Serum Biomarkers To Predict Gestational Diabetes In A High-Risk Cohort: Striving For Clinically Useful Thresholds, Siobhan M. Corcoran, Natalie Achamallah, John O'Loughlan, Philip Stafford, Pat Dicker, Fergal D. Malone, Fionnuala Breathnach
Articles
Objectives: Screening and diagnosis of gestational diabetes (GDM) has been a source of controversy. The prevalence has increased in line with an obesity epidemic and a trend towards delayed child-bearing. Treatment of even modest glycaemic impairment in pregnancy has been shown to be beneficial in preventing its clinical sequalae. However the cumbersome nature and timing of the oral glucose tolerance test coupled with debate around universal versus risk factor based screening have been problematic. This group aimed to investigate a panel of biomarkers which have shown promise in the literature to predict GDM from the first trimester in a group …
An Investigation Of Argumentation Theory For The Prediction Of Survival In Elderly Using Biomarkers, Lucas Middeldorf Rizzo, Ljiljana Majnaric, Pierpaolo Dondio, Luca Longo
An Investigation Of Argumentation Theory For The Prediction Of Survival In Elderly Using Biomarkers, Lucas Middeldorf Rizzo, Ljiljana Majnaric, Pierpaolo Dondio, Luca Longo
Conference papers
Research on the discovery, classification and validation of biological markers, or biomarkers, have grown extensively in the last decades. Newfound and correctly validated biomarkers have great potential as prognostic and diagnostic indicators, but present a complex relationship with pertinent endpoints such as survival or other diseases manifestations. This research proposes the use of computational argumentation theory as a starting point for the resolution of this problem for cases in which a large amount of data is unavailable. A knowledge-base containing 51 different biomarkers and their association with mortality risks in elderly was provided by a clinician. It was applied for …