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ORCIDSajjad Fouladvand
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2020 – today
- 2023
[j5]Sajjad Fouladvand, Federico Reyes Gomez
, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan H. Chen:
Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning. J. Biomed. Informatics 143: 104407 (2023)- [j4]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:
A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models. IEEE J. Biomed. Health Informatics 27(7): 3589-3598 (2023) - 2021
- [c4]Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather M. Bush, Amy Lynn Meadows, Lars E. Peterson, Steve K. Roggenkamp, Ramakanth Kavuluru, Jin Chen:
Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer. AMIA 2021 - [i1]Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather Bush, Amy Lynn Meadows, Lars E. Peterson, Ramakanth Kavuluru, Jin Chen:
Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer. CoRR abs/2103.08800 (2021) - 2020
- [j3]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:
Predicting substance use disorder using long-term attention deficit hyperactivity disorder medication records in Truven. Health Informatics J. 26(2): 787-802 (2020)
2010 – 2019
- 2019
- [c3]Sajjad Fouladvand, Michelle M. Mielke, Maria Vassilaki, Jennifer L. St. Sauver, Ronald C. Petersen, Sunghwan Sohn:
Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records. BIBM 2019: 799-806 - [c2]Gongbo Liang, Sajjad Fouladvand, Jie Zhang, Michael A. Brooks, Nathan Jacobs, Jin Chen:
GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement. ICHI 2019: 1-11 - 2018
- [c1]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:
Predicting Substance Use Disorder in ADHD Patients using Long-Short Term Memory Model. ICHI Workshops 2018: 49-50 - 2017
- [j2]Sajjad Fouladvand, Alireza Osareh, Bita Shadgar, Mario Pavone, Siyamack Sharafi:
DENSA: An effective negative selection algorithm with flexible boundaries for self-space and dynamic number of detectors. Eng. Appl. Artif. Intell. 62: 359-372 (2017) - 2015
- [j1]Sajjad Fouladvand, Soroor Salavati, Pedram Masajedi, Afshin Ghanbarzadeh:
A modified neuro-evolutionary algorithm for mobile robot navigation: Using fuzzy systems and combination of artificial neural networks. Int. J. Knowl. Based Intell. Eng. Syst. 19(2): 125-133 (2015)
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