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Greg Placencia
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2020 – today
- 2025
[j2]Yong Si, Armin Abdollahi
, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar:
Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients. BMC Medical Informatics Decis. Mak. 25(1): 276 (2025)
[i10]Shuheng Chen, Junyi Fan, Armin Abdollahi
, Negin Ashrafi, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases. CoRR abs/2501.01183 (2025)
[i9]Houji Jin, Negin Ashrafi, Kamiar Alaei, Elham Pishgar, Greg Placencia, Maryam Pishgar:
A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction. CoRR abs/2502.16834 (2025)
[i8]Shuheng Chen, Junyi Fan, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
XGBoost-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database. CoRR abs/2502.17978 (2025)
[i7]Haonan Pan, Shuheng Chen, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease. CoRR abs/2503.11973 (2025)
[i6]Junyi Fan, Shuheng Chen, Li Sun, Yong Si, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia. CoRR abs/2505.18421 (2025)
[i5]Tinghuan Li, Shuheng Chen, Junyi Fan, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data. CoRR abs/2506.03209 (2025)
[i4]Li Sun, Shuheng Chen, Yong Si, Junyi Fan, Maryam Pishgar, Elham Pishgar, Kamiar Alaei, Greg Placencia:
Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach. CoRR abs/2506.15901 (2025)
[i3]Yong Si, Junyi Fan, Li Sun, Shuheng Chen, Minoo Ahmadi, Elham Pishgar, Kamiar Alaei, Greg Placencia, Maryam Pishgar:
Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning. CoRR abs/2507.18866 (2025)
[i2]Junyi Fan, Li Sun, Shuheng Chen, Yong Si, Minoo Ahmadi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar:
Prediction of Significant Creatinine Elevation in First ICU Stays with Vancomycin Use: A retrospective study through Catboost. CoRR abs/2507.23043 (2025)- 2024
[i1]Negin Ashrafi
, Armin Abdollahi
, Greg Placencia, Maryam Pishgar:
Effect of a Process Mining based Pre-processing Step in Prediction of the Critical Health Outcomes. CoRR abs/2407.02821 (2024)
2010 – 2019
- 2013
[j1]Greg Placencia, Mansour Rahimi, Behrokh Khoshnevis:
Effects of distance and direction on tangential tactile perception of the index finger pad. Robotica 31(5): 679-685 (2013)- 2011
[c2]Greg Placencia, Mansour Rahimi, Behrokh Khoshnevis:
Development of an Economical Haptic Stimulus Device. HCI (23) 2011: 257-261
2000 – 2009
- 2009
[c1]Greg Placencia, Mansour Rahimi, Behrokh Khoshnevis:
Sensing Directionality in Tangential Haptic Stimulation. HCI (17) 2009: 253-261
Coauthor Index

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