Sajjad Fouladvand

11 papers Misc 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Real time machine learning prediction of next generation sequencing test results in live clinical settings.
npj Digit. Medicine
Grace Y. E. Kim, Matthew Schwede, Conor K. Corbin, Sajjad Fouladvand, Rondeep Brar, David Iberri, William Shomali, Jean Oak, Dita Gratzinger, Henning Stehr, Jonathan H. Chen
2023 J jnl
A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models.
IEEE J. Biomed. Health Informatics
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
2023 J jnl
Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.
J. Biomed. Informatics
Sajjad Fouladvand, Federico Reyes Gomez, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan H. Chen
2021 Misc conf
Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer.
AMIA
Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather M. Bush, Amy Lynn Meadows, Lars E. Peterson, Steve K. Roggenkamp, Ramakanth Kavuluru, Jin Chen
2021 J jnl
Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer.
CoRR
Sajjad Fouladvand, Jeffery C. Talbert, Linda P. Dwoskin, Heather Bush, Amy Lynn Meadows, Lars E. Peterson, Ramakanth Kavuluru, Jin Chen
2020 J jnl
Predicting substance use disorder using long-term attention deficit hyperactivity disorder medication records in Truven.
Health Informatics J.
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
2019 — conf
Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records.
BIBM
Sajjad Fouladvand, Michelle M. Mielke, Maria Vassilaki, Jennifer L. St. Sauver, Ronald C. Petersen, Sunghwan Sohn
2019 — conf
GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement.
ICHI
Gongbo Liang, Sajjad Fouladvand, Jie Zhang, Michael A. Brooks, Nathan Jacobs, Jin Chen
2018 — conf
Predicting Substance Use Disorder in ADHD Patients using Long-Short Term Memory Model.
ICHI Workshops
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
2017 J jnl
DENSA: An effective negative selection algorithm with flexible boundaries for self-space and dynamic number of detectors.
Eng. Appl. Artif. Intell.
Sajjad Fouladvand, Alireza Osareh, Bita Shadgar, Mario Pavone, Siyamack Sharafi
2015 J jnl
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.
Sajjad Fouladvand, Soroor Salavati, Pedram Masajedi, Afshin Ghanbarzadeh