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Maryam Pishgar
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REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health
Maryam Pishgar, Salah Fuad Issa, Margaret Sietsema, Preethi Pratap, Houshang ...
Int. J. Environ. Res. Public Health 2021 18 (13), 1660-4601, 2021
61*2021
Pathological voice classification using mel-cepstrum vectors and support vector machine
M Pishgar, F Karim, S Majumdar, H Darabi
arXiv preprint arXiv:1812.07729, 2018
412018
Prediction of unplanned 30-day readmission for ICU patients with heart failure
M Pishgar, J Theis, M Del Rios, A Ardati, H Anahideh, H Darabi
BMC medical informatics and decision making 22 (1), 117, 2022
352022
Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models
Rodríguez-Fernández JM, Chow K, Harford S, Kochendorfer KM, Pishgar M, Theis ...
BMC Medical Informatics and Decision Making, 2021
212021
A process mining-deep learning approach to predict survival in a cohort of hospitalized COVID‐19 patients
M Pishgar, S Harford, J Theis, W Galanter, JM Rodríguez-Fernández, ...
BMC Medical Informatics and Decision Making 22 (1), 194, 2022
142022
Process mining model to predict mortality in paralytic ileus patients
M Pishgar, M Razo, J Theis, H Darabi
2021 International Conference on Cyber-Physical Social Intelligence (ICCSI), 1-6, 2021
142021
Predicting Sepsis Mortality Using Machine Learning Methods
MP Jiayi Gao, Yuying Lu, Negin Ashrafi, Ian Domingo, Kamiar Alaei
medRxiv, 2024.03. 14.24304184, 2024
8*2024
Deep learning model utilization for mortality prediction in mechanically ventilated ICU patients
N Ashrafi, Y Liu, X Xu, Y Wang, Z Zhao, M Pishgar
Informatics in Medicine Unlocked 49, 101562, 2024
52024
Effect of a process mining based pre-processing step in prediction of the critical health outcomes
N Ashrafi, A Abdollahi, G Placencia, M Pishgar
arXiv preprint arXiv:2407.02821, 2024
42024
Prediction of in-hospital mortality for icu patients with heart failure
J Zhang, H Li, N Ashrafi, Z Yu, G Placencia, M Pishgar
medRxiv, 2024.06. 25.24309448, 2024
42024
Improving process discovery algorithms using event concatenation
M Pishgar, M Razo, H Darabi
IEEE Access 10, 69072-69090, 2022
32022
A machine learning-based prediction of hospital mortality in mechanically ventilated ICU patients
H Li, N Ashrafi, C Kang, G Zhao, Y Chen, M Pishgar
PloS one 19 (9), e0309383, 2024
22024
Enhanced mortality prediction in icu stroke patients via deep learning
A Abdollahi, X Ma, J Zhang, D Wu, T Wu, Z Ye, M Pishgar
arXiv preprint arXiv:2407.14211, 2024
22024
Process Mining/Deep Learning Model to Predict Mortality in Coronary Artery Disease Patients
N Ashrafi, A Abdollahi, G Placencia, M Pishgar
medRxiv, 2024.06. 26.24309553, 2024
22024
Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques
N Ashrafi, A Abdollahi, M Pishgar
arXiv preprint arXiv:2408.01144, 2024
12024
Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database
N Ashrafi, A Abdollahi, J Zhang, M Pishgar
arXiv preprint arXiv:2409.01685, 2024
2024
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality
A Shumilov, Y Zhu, N Ashrafi, G Lian, S Ren, M Pishgar
arXiv preprint arXiv:2408.01612, 2024
2024
Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems
A Alexos, YD Tsai, I Domingo, M Pishgar, P Baldi
arXiv preprint arXiv:2403.10596, 2024
2024
Application of REDECA Framework to Improve Safety and Health of Agricultural Tractor Drivers
N Ashrafi, K Alaei, G Placencia, M Pishgar
medRxiv, 2024.07. 10.24310227, 2024
2024
Examining Caregiver Decision-Making using Human Factors Analysis and Classification System (HFACS), AcciMap, and Risk Evolution, Detection, Evaluation, and Control of Accidents …
GP Maryam Pishgar
2024
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