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  • Publications
    • Explanation Ontology: A General-Purpose, Semantic Representation for Supporting User-Centered Explanations
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    • Two-Age Islet-Autoantibody Screening for Childhood Type 1 Diabetes: A Prospective Cohort Study
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    • Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
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    • Islet Autoimmunity and HLA Markers of Presymptomatic and Clinical Type 1 Diabetes: Joint Analyses of Prospective Cohort Studies in Finland, Germany, Sweden, and the U.S.
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    • A System for Generating Specialized Phenotypical Embedding
    • ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction
    • A Multi-Task Learning Approach to Personalized Progression Modeling
    • Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes
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    • Presymptomatic and Clinical T1D in The US, Sweden, and Finland: Joint Analysis of Four Birth Cohort Studies
    • Sensitivity Analysis of Alternate Definitions of Multiple Islet Autoantibody Positivity
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    • Early Diagnosis And Its Benefits In Sepsis Blood Purification Treatment
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    • DNA Methylation Differences at Growth Related Genes Correlate With Birth Weight: A Molecular Signature Linked To Developmental Origins of Adult Disease?
    • Uncertainty Analysis in Protein Disorder Prediction
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ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction

Dec 12, 2020·
Mohamed Ghalwash
Mohamed Ghalwash
,
Zijun Yao
,
Prithwish Chakrabotry
,
James Codella
,
Daby Sow
· 0 min read
Type
Conference paper
Publication
Advances in Neural Information Processing Systems (NeurIPS)
publications
Last updated on Dec 12, 2020
Ontology Poster
← A System for Generating Specialized Phenotypical Embedding Dec 30, 2020
A Multi-Task Learning Approach to Personalized Progression Modeling Nov 30, 2020 →

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