Sajjad Fouladvand

According to our database, Sajjad Fouladvand authored at least 10 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models.

Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather Bush, Amy Lynn Meadows, Lars E. Peterson, Yash R. Mishra, Steven K. Roggenkamp, Fei Wang, Ramakanth Kavuluru, Jin Chen

IEEE J. Biomed. Health Informatics, July, 2023

Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.

Sajjad Fouladvand, Federico Reyes Gomez, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan H. Chen

J. Biomed. Informatics, 2023

2021

Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer.

Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather Bush, Amy Lynn Meadows, Lars E. Peterson, Ramakanth Kavuluru, Jin Chen

CoRR, 2021

Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer.

Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather M. Bush, Amy Lynn Meadows, Lars E. Peterson, Steve K. Roggenkamp, Ramakanth Kavuluru, Jin Chen

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Predicting substance use disorder using long-term attention deficit hyperactivity disorder medication records in Truven.

Sajjad Fouladvand, Emily R. Hankosky, Heather Bush, Jin Chen, Linda P. Dwoskin, Patricia R. Freeman, Darren W. Henderson, Kathleen Kantak, Jeffery C. Talbert, Shiqiang Tao, Guo-Qiang Zhang

Health Informatics J., 2020

2019

GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement.

Gongbo Liang, Sajjad Fouladvand, Jie Zhang, Michael A. Brooks, Nathan Jacobs, Jin Chen

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records.

Sajjad Fouladvand, Michelle M. Mielke, Maria Vassilaki, Jennifer L. St. Sauver, Ronald C. Petersen, Sunghwan Sohn

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Predicting Substance Use Disorder in ADHD Patients using Long-Short Term Memory Model.

Sajjad Fouladvand, Emily R. Hankosky, Darren W. Henderson, Heather Bush, Jin Chen, Linda P. Dwoskin, Patricia R. Freeman, Kathleen Kantak, Jeffery C. Talbert, Shiqiang Tao, Guo-Qiang Zhang

Proceedings of the IEEE International Conference on Healthcare Informatics Workshops, 2018

2017

DENSA: An effective negative selection algorithm with flexible boundaries for self-space and dynamic number of detectors.

Sajjad Fouladvand, Alireza Osareh, Bita Shadgar, Mario Pavone, Siyamack Sharafi

Eng. Appl. Artif. Intell., 2017

2015

A modified neuro-evolutionary algorithm for mobile robot navigation: Using fuzzy systems and combination of artificial neural networks.

Sajjad Fouladvand, Soroor Salavati, Pedram Masajedi, Afshin Ghanbarzadeh

Int. J. Knowl. Based Intell. Eng. Syst., 2015