Samah Jamal Fodeh

Orcid: 0000-0003-4664-3143

According to our database1, Samah Jamal Fodeh authored at least 38 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deploying a national clinical text processing infrastructure.
J. Am. Medical Informatics Assoc., February, 2024

2021
Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities.
Comput. Biol. Medicine, 2021

Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter.
Comput. Biol. Medicine, 2021

COVID-19 concerns and interests differ with socioeconomic status: Twitter Analysis.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Guest Editorial for Selected Papers from BIOKDD 2018 and DMBIH 2018.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Classification of Patients with Coronary Microvascular Dysfunction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis.
J. Biomed. Informatics, 2020

Reducing Annotation Burden Through Multimodal Learning.
Frontiers Big Data, 2020

Integrating Social Media data with Electronic Health Records to better Understand Opioid Use Disorder.
Proceedings of the AMIA 2020, 2020

Pain Assessment in Veterans Health Administration Chiropractic Clinic Documentation.
Proceedings of the AMIA 2020, 2020

2019
Using Machine Learning Algorithms to Detect Suicide Risk Factors on Twitter.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Presecription opioid tapering: Mining structured and unstructured data.
Proceedings of the AMIA 2019, 2019

2018
Classifying clinical notes with pain assessment using machine learning.
Medical Biol. Eng. Comput., 2018

Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification.
J. Biomed. Informatics, 2018

Suicide Risk on Twitter.
Int. J. Knowl. Discov. Bioinform., 2018

Automatic extraction of informal topics from online suicidal ideation.
BMC Bioinform., 2018

Identifying Patients with Coronary Microvascular Dysfunction using Machine Learning.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
Classifying Clinical Notes with Pain Assessment.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Automatic Classification of Critical Findings in Radiology Reports.
Proceedings of the 1st ACM Workshop on Medical Informatics and Healthcare, 2017

Leveraging Twitter to better identify suicide risk.
Proceedings of the 1st ACM Workshop on Medical Informatics and Healthcare, 2017

Exploiting PubMed for Protein Molecular Function Prediction via NMF Based Multi-label Classification.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Mining Big Data in biomedicine and health care.
J. Biomed. Informatics, 2016

Classification of radiology reports for falls in an HIV study cohort.
J. Am. Medical Informatics Assoc., 2016

2015
Clinical data mining.
Comput. Biol. Medicine, 2015

Laplacian SVM Based Feature Selection Improves Medical Event Reports Classification.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Exploring Healthcare Mobility in the US to Improve Quality of Care: Preliminary Results.
Proceedings of the AMIA 2015, 2015

Feature Selection Based LapSVM to Classify Medical Event Reports and Enhance Patient Safety.
Proceedings of the AMIA 2015, 2015

Using the Adverse Event Reporting System: Can Analysis be Streamlined by Text Processing?
Proceedings of the AMIA 2015, 2015

2014
Post-Traumatic Stress Disorder (PTSD) Ontology and Use Case.
Proceedings of the 5th International Conference on Biomedical Ontology, 2014

2013
Complementary ensemble clustering of biomedical data.
J. Biomed. Informatics, 2013

MedCat: A Framework for High Level Conceptualization of Medical Notes.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
Enhancing Clustering by Exploiting Complementary Data Modalities in the Medical Domain.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Analysis of VA Telephone Call Notes using Topic Modeling.
Proceedings of the AMIA 2012, 2012

2011
On ontology-driven document clustering using core semantic features.
Knowl. Inf. Syst., 2011

2009
Combining statistics and semantics via ensemble model for document clustering.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

2007
A Probabilistic Substructure-Based Approach for Graph Classification.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Incorporating Background Knowledge for Subjective Rule Evaluation.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

2006
Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning Strategy.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006


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