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IISE Transactions on Healthcare Systems Engineering
|
November 2, 2019
An Integrated Framework for Reducing Hospital Readmissions using Risk Trajectories Characterization and Discharge Timing Optimization
Adel Alaeddini, Jonathan E Helm, Pengyi Shi, et al.
IEEE Access : Practical Innovations, Open Solutions
|
April 4, 2022
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions
Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, et al.
IEEE Access : Practical Innovations, Open Solutions
|
May 23, 2022
Dynamic Functional Continuous Time Bayesian Networks for Prediction and Monitoring of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions
Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, et al.
Plos One
|
July 13, 2018
Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network
Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos A Jaramillo, et al.
IEEE Journal of Biomedical and Health Informatics
|
June 10, 2025
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akhter Faruqui, et al.
JMIR Mhealth and Uhealth
|
November 5, 2019
Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial
Syed Hasib Akhter Faruqui, Yan Du, Rajitha Meka, et al.
Computer Methods and Programs in Biomedicine
|
February 21, 2024
A Laplacian regularized graph neural network for predictive modeling of multiple chronic conditions
Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akhter Faruqui, et al.
JMIR Medical Informatics
|
June 20, 2020
Summarizing Complex Graphical Models of Multiple Chronic Conditions Using the Second Eigenvalue of Graph Laplacian: Algorithm Development and Validation
Syed Hasib Akhter Faruqui, Adel Alaeddini, Mike C Chang, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association
|
July 20, 2025
`Probabilistic ensemble learning for prediction of stroke thrombectomy outcomes from the NeuroVascular Quality Initiative-Quality Outcomes Database (NVQI-QOD) Acute Ischemic Stroke Registry
Chaochao Zhou, Dayeong An, Syed Hasib Akhter Faruqui, et al.
JMIR Formative Research
|
January 22, 2025
Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study
Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
IISE Transactions on Healthcare Systems Engineering
|
November 2, 2019
An Integrated Framework for Reducing Hospital Readmissions using Risk Trajectories Characterization and Discharge Timing Optimization
Adel Alaeddini, Jonathan E Helm, Pengyi Shi, et al.
IEEE Access : Practical Innovations, Open Solutions
|
April 4, 2022
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions
Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, et al.
IEEE Access : Practical Innovations, Open Solutions
|
May 23, 2022
Dynamic Functional Continuous Time Bayesian Networks for Prediction and Monitoring of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions
Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, et al.
Plos One
|
July 13, 2018
Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network
Syed Hasib Akhter Faruqui, Adel Alaeddini, Carlos A Jaramillo, et al.
IEEE Journal of Biomedical and Health Informatics
|
June 10, 2025
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akhter Faruqui, et al.
JMIR Mhealth and Uhealth
|
November 5, 2019
Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial
Syed Hasib Akhter Faruqui, Yan Du, Rajitha Meka, et al.
Computer Methods and Programs in Biomedicine
|
February 21, 2024
A Laplacian regularized graph neural network for predictive modeling of multiple chronic conditions
Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akhter Faruqui, et al.
JMIR Medical Informatics
|
June 20, 2020
Summarizing Complex Graphical Models of Multiple Chronic Conditions Using the Second Eigenvalue of Graph Laplacian: Algorithm Development and Validation
Syed Hasib Akhter Faruqui, Adel Alaeddini, Mike C Chang, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association
|
July 20, 2025
`Probabilistic ensemble learning for prediction of stroke thrombectomy outcomes from the NeuroVascular Quality Initiative-Quality Outcomes Database (NVQI-QOD) Acute Ischemic Stroke Registry
Chaochao Zhou, Dayeong An, Syed Hasib Akhter Faruqui, et al.
JMIR Formative Research
|
January 22, 2025
Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study
Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, et al.
Page
of 2