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06/22/2022
Automated Compliance Blueprint Optimization with Artificial Intelligence
For highly regulated industries such as banking and healthcare, one of t...
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06/22/2022
Vulnerability Prioritization: An Offensive Security Approach
Organizations struggle to handle sheer number of vulnerabilities in thei...
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06/22/2022
Attack Techniques and Threat Identification for Vulnerabilities
Modern organizations struggle with insurmountable number of vulnerabilit...
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04/08/2021
Question-Driven Design Process for Explainable AI User Experiences
A pervasive design issue of AI systems is their explainability–how to pr...
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09/04/2020
Phenotypical Ontology Driven Framework for Multi-Task Learning
Despite the large number of patients in Electronic Health Records (EHRs)...
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07/24/2020
A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records
Many institutions within the healthcare ecosystem are making significant...
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05/13/2020
ODVICE: An Ontology-Driven Visual Analytic Tool for Interactive Cohort Extraction
Increased availability of electronic health records (EHR) has enabled re...
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05/08/2020
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Sepsis Treatment
The potential of Reinforcement Learning (RL) has been demonstrated throu...
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03/23/2020
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
Counterfactual prediction is a fundamental task in decision-making. G-co...
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11/15/2019