Mining electronic health records (EHRs) A survey
The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
Delay within the 3-hour surviving sepsis campaign guideline on mortality for patients with severe sepsis and septic shock
Objectives: To specify when delays of specific 3-hour bundle Surviving Sepsis Campaign
guideline recommendations applied to severe sepsis or septic shock become harmful and …
guideline recommendations applied to severe sepsis or septic shock become harmful and …
[HTML][HTML] A framework for visualizing data quality for predictive models and clinical quality measures
The ability to assess data quality is essential for secondary use of EHR data and an
automated Healthcare Data Quality Framework (HDQF) can be used as a tool to support a …
automated Healthcare Data Quality Framework (HDQF) can be used as a tool to support a …
Don't do imputation: dealing with informative missing values in EHR data analysis
Missing values pose a significant challenge in data analytic, especially in clinical studies,
data is typically missing-not-at-random (MNAR). Applying techniques (eg imputations) that …
data is typically missing-not-at-random (MNAR). Applying techniques (eg imputations) that …
The impact of delayed symptomatic treatment implementation in the intensive care unit
We estimated the harm related to medication delivery delays across 12,474 medication
administration instances in an intensive care unit using retrospective data in a large urban …
administration instances in an intensive care unit using retrospective data in a large urban …
Frequent causal pattern mining: a computationally efficient framework for estimating bias-corrected effects
Our aging population increasingly suffers from multiple chronic diseases simultaneously,
necessitating the comprehensive treatment of these conditions. Finding the optimal set of …
necessitating the comprehensive treatment of these conditions. Finding the optimal set of …
A greedy-genetic local-search heuristic for the traveling salesman problem
MH Rashid, MA Mosteiro - 2017 IEEE International Symposium …, 2017 - ieeexplore.ieee.org
The Travelling Salesman Problem (TSP) is one of the typical combinatorial optimization
problems that is easy to describe but hard to solve. In this work, we present a novel solution …
problems that is easy to describe but hard to solve. In this work, we present a novel solution …
Improving treatment decisions for sepsis patients by reinforcement learning
R Lyu - 2020 - d-scholarship.pitt.edu
Sepsis is defined as a dysregulated immune response to infection leading to acute life-
threatening organ dysfunction. Patients with sepsis have 25.8% intensive care unit (ICU) …
threatening organ dysfunction. Patients with sepsis have 25.8% intensive care unit (ICU) …
Shared passion at the nexus of nursing informatics, systems, policy, and research: Midwest Nursing Research Society advances the state of the science
The Midwest Nursing Research Society (MNRS), one of the largest research societies for
nurses, facilitates intradisciplinary exchanges and collaboration. An important way this is …
nurses, facilitates intradisciplinary exchanges and collaboration. An important way this is …
Incorporating Clinical Domain Knowledge into Causality Deep Learning
J Li - 2023 - search.proquest.com
Abstract Applying Deep Learning (DL) models to graphical causal learning has brought
outstanding effectiveness and efficiency. But it seems odd that their relative applications are …
outstanding effectiveness and efficiency. But it seems odd that their relative applications are …