Fatemeh Shah-Mohammadi
Orcid: 0000-0002-9034-7803
According to our database1,
Fatemeh Shah-Mohammadi
authored at least 19 papers
between 2018 and 2024.
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Bibliography
2024
Large Language Model-Based Architecture for Automatic Outcome Data Extraction to Support Meta-Analysis.
Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024
2023
Identification of Subphenotypes of Opioid Use Disorder Using Unsupervised Machine Learning.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
NLP-Assisted Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Combining NLP and Machine Learning for Differential Diagnosis of COPD Exacerbation Using Emergency Room Data.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023
Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023
Contextualized Large Language Model-Based Architecture for Outcome Measure Alignment in Clinical Trials.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Using Natural Language Processing of Clinical Notes to Predict Outcomes of Opioid Treatment Program.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Comparative Analysis of Patient Distress in Opioid Treatment Programs using Natural Language Processing.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
Using NLP for Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access.
IEEE Open J. Commun. Soc., 2021
Entity Extraction for Clinical Notes, a Comparison Between MetaMap and Amazon Comprehend Medical.
Proceedings of the Public Health and Informatics, 2021
NLP-Assisted Pipeline for COVID-19 Core Outcome Set Identification Using ClinicalTrials.gov.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Queue-aware QoE-based Rate and Power Adaptation Over Underlay Cognitive Radio Networks: Cross-Layer Design.
Proceedings of the 2020 Wireless Telecommunications Symposium, 2020
Fast Learning Cognitive Radios in Underlay Dynamic Spectrum Access: Integration of Transfer Learning into Deep Reinforcement Learning.
Proceedings of the 2020 Wireless Telecommunications Symposium, 2020
2018
Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access.
CoRR, 2018
Deep Reinforcement Learning Approach to QoE-Driven Resource Allocation for Spectrum Underlay in Cognitive Radio Networks.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018
QoE-Driven Integrated Heterogeneous Traffic Resource Allocation Based on Cooperative Learning for 5G Cognitive Radio Networks.
Proceedings of the IEEE 5G World Forum, 2018