Search Results - "Glass, Kristin"

Machine-Learning Model Identifies Patients With Alpha-1 Antitrypsin Deficiency Using Claims Records by Sharma, Rajani, Hogarth, D Kyle, Colbaugh, Richard, Glass, Kristin, Mezine, Adel, Liakoni, Vassia, Rudolf, Christopher, Himmelhan, Iris, Hinson, Jimmy, Sanchirico, Marie

“…Identifying patients with rare diseases like alpha-1 antitrypsin deficiency (AATD) is challenging. Machine-learning models may be trained to identify patients…”
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PREDICTIVE MODELING TO IDENTIFY UNDIAGNOSED PATIENTS WITH ALPHA-1 ANTITRYPSIN DEFICIENCY USING MACHINE LEARNING AND MEDICAL CLAIMS DATA by COLBAUGH, RICHARD, GLASS, KRISTIN, HIMMELHAN, IRIS, HINSON, JIMMY, SANCHIRICO, MARIE

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Predicting Antimicrobial Resistance via Lightly-Supervised Learning by Colbaugh, Rich, Glass, Kristin

“…Countering the substantial threat posed by antimicrobial resistance (AMR) requires the capability to predict pathogen resistance phenotype quickly and…”
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Learning to Identify Rare Disease Patients from Electronic Health Records by Colbaugh, Rich, Glass, Kristin, Rudolf, Christopher, Tremblay Volv Global Lausanne Switzerland, Mike

“…There is increasing interest in developing prediction models capable of identifying rare disease patients in population-scale databases such as electronic…”
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Predictability-oriented defense against adaptive adversaries by Colbaugh, R., Glass, K.

“…There are substantial potential benefits to considering predictability when designing defenses against adaptive adversaries, including increasing the ability…”
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Deep information from limited observation of robust yet fragile systems by LaViolette, Randall A., Glass, Kristin, Colbaugh, Richard

“…We show how one can completely reconstruct even moderately optimized configurations of the Forest Fire model with relatively few observations. We discuss the…”
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Early Identification of Patentable Medical Innovations by Colbaugh, Rich, Glass, Kristin

“…There is considerable interest in developing methods for early detection of medical advances which are likely to lead to effective treatments. Because the…”
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A framework for near real-time event characterization within the internet by Planck, M., Glass, K., Lyman, I., Colbaugh, R.

“…The Internet occasionally experiences large disruptions arising from both natural and manmade disturbances. It is of significant interest to develop methods to…”
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Learning about individuals' health from aggregate data by Colbaugh, Rich, Glass, Kristin

“…There is growing awareness that user-generated social media content contains valuable health-related information and is more convenient to collect than typical…”
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Ensemble transfer learning for Alzheimer's disease diagnosis by Colbaugh, Rich, Glass, Kristin, Gallegos, Gil

“…There is considerable interest in developing inexpensive, nonintrusive diagnostic tests for Alzheimer's disease (AD), in the hope these tests will facilitate…”
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Proactive defense for evolving cyber threats by Colbaugh, Richard, Glass, Kristin

“…There is significant interest to develop proactive approaches to cyber defense, in which future attack strategies are anticipated and these insights are…”
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Asymmetry in Coevolving Adversarial Systems by Colbaugh, Richard, Glass, Kristin

“…Asymmetries in adversarial systems arise from differences in the "situations" of attackers and defenders, for instance corresponding to differences in…”
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Robust Ensemble Learning to Identify Rare Disease Patients from Electronic Health Records by Colbaugh, Rich, Glass, Kristin, Rudolf, Christopher, Tremblay, Mike

“…There is substantial interest in developing prediction models capable of identifying rare disease patients in population-scale databases such as electronic…”
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Predictive non-equilibrium social science by Colbaugh, R., Glass, K., Johnson, C.

“…Non-Equilibrium Social Science (NESS) emphasizes dynamical phenomena, for instance the way political movements emerge or competing organizations interact. This…”
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Predictive defense against evolving adversaries by Colbaugh, Richard, Glass, Kristin

“…Adaptive adversaries are a primary concern in several domains, including cyber defense, border security, counterterrorism, and fraud prevention, and…”
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Moving target defense for adaptive adversaries by Colbaugh, Richard, Glass, Kristin

“…Machine learning (ML) plays a central role in the solution of many security problems, for example enabling malicious and innocent activities to be rapidly and…”
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Improving supply chain security using big data by Zage, David, Glass, Kristin, Colbaugh, Richard

“…Previous attempts at supply chain risk management are often non-technical and rely heavily on policies/procedures to provide security assurances. This is…”
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Estimating sentiment orientation in social media for intelligence monitoring and analysis by Colbaugh, Richard, Glass, Kristin

“…This paper presents a computational approach to inferring the sentiment orientation of "social media" content (e.g., blog posts) which focuses on the…”
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Analyzing Social Media Content for Security Informatics by Colbaugh, Richard, Glass, Kristin

“…Inferring public opinion regarding an issue or event by analyzing social media content is of great interest to security analysts but is also technically…”
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Leveraging sociological models for prediction I: Inferring adversarial relationships by Colbaugh, Richard, Glass, Kristin

“…There is considerable interest in developing techniques for predicting human behavior, for instance to enable emerging contentious situations to be anticipated…”
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