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Published in AIMIA 2019 Summit, 2019
Prediction of length of stay of ICU patients using a Hidden Markov Model.
Recommended citation: Mani Sotoodeh, Joyce Ho. (2019). "Improving length of stay prediction using a hidden Markov model." AMIA 2019 Summit.
Published in IFIP Annual Conference on Data and Applications Security and Privacy 2020, 2020
Analysis of performance of truth inference method in adversarial settings
Recommended citation: Farnaz Tahmasebian, Li Xiong, Mani Sotoodeh, Vaidy Sunderam " Crowdsourcing under data poisoning attacks: A comparative study"IFIP Annual Conference on Data and Applications Security and Privacy 2020.
Published in IEEE International Conference on Smart Data Services (SMDS) 2020 , 2020
Robust truth inference using matrix completion
Recommended citation: Farnaz Tahmasebian, Li Xiong, Mani Sotoodeh, Vaidy Sunderam " EdgeInfer: Robust Truth Inference under Data Poisoning Attack "IEEE International Conference on Smart Data Services (SMDS) 2020.
Published in AIMIA Annual Symposium 2020, 2020
Using MIMIC III notes to detect PUI cases
Recommended citation: Mani Sotoodeh,Zelalem H Gero, Wenhui Zhang, Roy L Simpson,Vicki Stover Hertzberg, and Joyce C Ho, "Pressure ulcer injury in unstructured clinical notes: Detection and interpretation "AIMIA Annual Symposium 2020. .
Published in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2021, 2021
Coteaching based crowdsourcing with perturbations
Recommended citation: Mani Sotoodeh, Li Xiong, and Joyce C Ho, ".CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2021 .
Published in AIMIA Applied Clinical Informatics 2021, 2021
Recommended citation: Zhang, Wenhui, Sotoodeh, Mani, Ho, Joyce C, Simpson, Roy L, and Hertzberg, Vicki Stover; AIMIA Applied Clinical Informatics 2021.
Published in JMIR Medical Informatics 2023, 2023
Standardized hospital acquired pressure injury using MIMIC-III dataset
Recommended citation: Sotoodeh M, Zhang W, Simpson R, Hertzberg V, Ho J. EHAPI: A comprehensive and improved definition for hospital-acquired pressure injury classification based on electronic health records. JMIR Med Inform. 2023 Jan 14. doi: 10.2196/40672;JMIR Medical Informatics 2023. .
Published in Computers in Biology and Medicine, 2024
An ensemble-based method for detecting hospital-acquired pressure injury from four different cohort definitions.
Recommended citation: Ho, J. C., Sotoodeh, M., Zhang, W., Simpson, R. L., & Hertzberg, V. S. (2024). An AdaBoost-based algorithm to detect hospital-acquired pressure injury in the presence of conflicting annotations. Computers in Biology and Medicine, 168, 107754.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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