Derivation and validation of essential predictors and risk index for early detection of diabetic retinopathy using electronic health records
Diabetic retinopathy (DR) is a leading cause for blindness among working-aged adults. The
growing prevalence of diabetes urges for cost-effective tools to improve the compliance of …
growing prevalence of diabetes urges for cost-effective tools to improve the compliance of …
A data preparation framework for cleaning electronic health records and assessing cleaning outcomes for secondary analysis
Z Miao, MD Sealey, S Sathyanarayanan, D Delen… - Information Systems, 2023 - Elsevier
… Zhuqi Miao reports financial support was provided by National Institutes of Health, USA.
Zhuqi Miao reports equipment, drugs, or supplies was provided by Cerner Corp. …
Zhuqi Miao reports equipment, drugs, or supplies was provided by Cerner Corp. …
Clustering temporal disease networks to assist clinical decision support systems in visual analytics of comorbidity progression
Detection and characterization of comorbidity, the presence of more than one distinct
disorder or illness concurrently occurring among a specific cohort of patients, is an invaluable …
disorder or illness concurrently occurring among a specific cohort of patients, is an invaluable …
[HTML][HTML] A brief analysis of challenges in implementing telehealth in a rural setting
VP Gurupur, Z Miao - Mhealth, 2022 - ncbi.nlm.nih.gov
Available literature clearly indicates that successful implementation of telemedicine and
telehealth has been a challenge. This challenge is further amplified if the reader must consider …
telehealth has been a challenge. This challenge is further amplified if the reader must consider …
A branch-and-bound approach for maximum quasi-cliques
F Mahdavi Pajouh, Z Miao, B Balasundaram - Annals of Operations …, 2014 - Springer
Detecting quasi-cliques in graphs is a useful tool for detecting dense clusters in graph-based
data mining. Particularly in large-scale data sets that are error-prone, cliques are overly …
data mining. Particularly in large-scale data sets that are error-prone, cliques are overly …
Approaches for finding cohesive subgroups in large‐scale social networks via maximum k‐plex detection
Z Miao, B Balasundaram - Networks, 2017 - Wiley Online Library
A k‐plex is a clique relaxation introduced in social network analysis to model cohesive social
subgroups that allows for a limited number of nonadjacent vertices (strangers) inside the …
subgroups that allows for a limited number of nonadjacent vertices (strangers) inside the …
An ellipsoidal bounding scheme for the quasi-clique number of a graph
Z Miao, B Balasundaram - INFORMS Journal on Computing, 2020 - pubsonline.informs.org
A γ-quasi-clique in a simple undirected graph refers to a subset of vertices that induces a
subgraph with edge density at least γ. When γ equals one, this definition corresponds to a …
subgraph with edge density at least γ. When γ equals one, this definition corresponds to a …
On atomic cliques in temporal graphs
Atomic cliques were introduced recently to analyze disease progression in temporal comorbidity
graphs. Informally, an atomic clique is a clique that is unsplittable over time—the clique …
graphs. Informally, an atomic clique is a clique that is unsplittable over time—the clique …
[HTML][HTML] Zhuqi Miao, PhD
C Hillman, A Lindsey, R Ottwell, W Arthur, C Cook… - community.the-hospitalist.org
Methods Reproducibility and Reporting—Our study did not meet the regulatory definition for
human subjects research per the US Code of Federal Regulations because the study did …
human subjects research per the US Code of Federal Regulations because the study did …
A novel hyperparameter search approach for accuracy and simplicity in disease prediction risk scoring
Y Lu, T Duong, Z Miao, T Thieu… - Journal of the …, 2024 - academic.oup.com
Objective Develop a novel technique to identify an optimal number of regression units
corresponding to a single risk point, while creating risk scoring systems from logistic regression-…
corresponding to a single risk point, while creating risk scoring systems from logistic regression-…