Samah Fodeh, PhD
Associate Professor of Emergency Medicine & Biostatistics (Health Informatics)Cards
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Associate Professor of Emergency Medicine & Biostatistics (Health Informatics)
Biography
Samah Fodeh-Jarad, PhD is an Associate Professor in the Department of Emergency Medicine, with a secondary appointment in the Yale School of Public Health. She is also affiliated with the Yale Institute for Global Health (YIHG) and the VA Connecticut Healthcare System. Dr. Fodeh has distinguished herself as researcher in the field of Biomedical Informatics and Big Data Science with a growing national and international reputation. Her contributions include the development of complex computational methods and tools that are critical for advancing biomedical informatics research and data science. Through her work, Dr. Fodeh demonstrates the utility of exploiting and combining multiple data modalities by employing methods from data mining, machine learning, deep learning, and natural language processing. Her research is focused on health and social media data mining to answer critical health related questions to suicide risk, opioid addiction, migraine diagnosis and treatment. Dr. Fodeh is also interested in studying patient-centered aspects of care including communications in clinical settings between patients and healthcare providers, stigmatizing language, social determinants of health and their impact on health-related outcomes.
Appointments
Emergency Medicine
Associate Professor on TermPrimaryBiomedical Informatics & Data Science
Associate Professor on TermSecondaryBiostatistics
Associate Professor on TermSecondary
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Education & Training
- PhD
- Michigan State University (2010)
Research
Overview
Medical Research Interests
Public Health Interests
- View Lab Website
Data Mining Lab
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Harini Bathulapalli
Amy Justice, MD, PhD
Joseph Lucien Goulet, PhD, MS
Robert Kerns, PhD
Evelyn Hsieh, MD, PhD
Ling Han, MD, PhD, MS
Machine Learning
Natural Language Processing
Data Mining
Publications
2022
Predictive Risk Model for Serious Falls Among Older Persons Living With HIV
Womack JA, Murphy TE, Leo-Summers L, Bates J, Jarad S, Smith AC, Gill TM, Hsieh E, Rodriguez-Barradas MC, Tien PC, Yin MT, Brandt CA, Justice AC. Predictive Risk Model for Serious Falls Among Older Persons Living With HIV. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2022, 91: 168-174. PMID: 36094483, PMCID: PMC9470988, DOI: 10.1097/qai.0000000000003030.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsMiddle-aged veteransOlder PWHAntiretroviral therapySerious fallsOlder personsVeterans Aging Cohort StudyMeasures of multimorbidityAging Cohort StudyBody mass indexMultivariable logistic regressionPredictive risk modelCohort studyMass indexInjury codesElevated riskGeneral populationSix monthsPWHLogistic regressionPotential predictorsSubstance useRadiology reportsHIVExternal causesVeteransMental Health Diagnoses are Not Associated With Indicators of Lower Quality Pain Care in Electronic Health Records of a National Sample of Veterans Treated in Veterans Health Administration Primary Care Settings
Dobscha SK, Luther SL, Kerns RD, Finch DK, Goulet JL, Brandt CA, Skanderson M, Bathulapalli H, Fodeh SJ, Hahm B, Bouayad L, Lee A, Han L. Mental Health Diagnoses are Not Associated With Indicators of Lower Quality Pain Care in Electronic Health Records of a National Sample of Veterans Treated in Veterans Health Administration Primary Care Settings. Journal Of Pain 2022, 24: 273-281. PMID: 36167230, PMCID: PMC9898089, DOI: 10.1016/j.jpain.2022.08.009.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsPain care qualityQuality pain careMental health conditionsPrimary care cliniciansVeterans Health AdministrationPain carePCQ scoresHealth conditionsCare cliniciansUse disordersCare qualitySevere musculoskeletal painRetrospective cohort studyPrimary care visitsGeneral medical carePrimary care settingElectronic health record dataFinal adjusted modelMental health diagnosesEquation Poisson modelsHealth record dataBipolar disorder diagnosisSubstance use disordersAlcohol use disorderPost-traumatic stress disorder
2021
Brief Report: Are Serious Falls Associated With Subsequent Fragility Fractures Among Veterans Living With HIV?
Womack JA, Murphy TE, Ramsey C, Bathulapalli H, Leo-Summers L, Smith AC, Bates J, Jarad S, Gill TM, Hsieh E, Rodriguez-Barradas MC, Tien PC, Yin MT, Brandt C, Justice AC. Brief Report: Are Serious Falls Associated With Subsequent Fragility Fractures Among Veterans Living With HIV? JAIDS Journal Of Acquired Immune Deficiency Syndromes 2021, 88: 192-196. PMID: 34506360, PMCID: PMC8513792, DOI: 10.1097/qai.0000000000002752.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsSubsequent fragility fracturesFragility fracturesAntiretroviral therapySerious fallsRisk factorsVeterans Aging Cohort StudyAging Cohort StudyMultivariable logistic regressionUpper arm fracturesMiddle-aged populationYears of ageAlcohol use disorderCohort studyHip fractureVertebral fracturesArm fracturesInjury codesICD9 codesGeneral populationUse disordersLogistic regressionIntegrase inhibitorsOlder adultsRadiology reportsHIVMeasuring pain care quality in the Veterans Health Administration primary care setting
Luther SL, Finch DK, Bouayad L, McCart J, Han L, Dobscha SK, Skanderson M, Fodeh SJ, Hahm B, Lee A, Goulet JL, Brandt CA, Kerns RD. Measuring pain care quality in the Veterans Health Administration primary care setting. Pain 2021, 163: e715-e724. PMID: 34724683, PMCID: PMC8920945, DOI: 10.1097/j.pain.0000000000002477.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPain care qualityPattern of documentationSevere pain intensityFrequency of documentationPresence of painSite of painPrimary care providersPrimary care settingCare quality indicatorsQuality improvement initiativesTotal PCQ scoresPatient characteristicsPain intensityPain carePain impactPCQ scoresCare settingsCare providersMusculoskeletal disordersFurther evaluationPainCare qualityHealthcare facilitiesImprovement initiativesUnique visitsEmergency care and the patient experience: Using sentiment analysis and topic modeling to understand the impact of the COVID-19 pandemic
Chekijian S, Li H, Fodeh S. Emergency care and the patient experience: Using sentiment analysis and topic modeling to understand the impact of the COVID-19 pandemic. Health And Technology 2021, 11: 1073-1082. PMID: 34414063, PMCID: PMC8363088, DOI: 10.1007/s12553-021-00585-z.Peer-Reviewed Original ResearchCitationsAltmetricTwitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities
Su Y, Venkat A, Yadav Y, Puglisi LB, Fodeh SJ. Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities. Computers In Biology And Medicine 2021, 132: 104336. PMID: 33761419, PMCID: PMC9159205, DOI: 10.1016/j.compbiomed.2021.104336.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and Concepts
2020
Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter
Fodeh SJ, Al-Garadi M, Elsankary O, Perrone J, Becker W, Sarker A. Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter. Computers In Biology And Medicine 2020, 129: 104132. PMID: 33290931, PMCID: PMC7855783, DOI: 10.1016/j.compbiomed.2020.104132.Peer-Reviewed Original ResearchCitationsAltmetricIdentification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data
Sangal RB, Fodeh S, Taylor A, Rothenberg C, Finn EB, Sheth K, Matouk C, Ulrich A, Parwani V, Sather J, Venkatesh A. Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data. Journal Of Stroke And Cerebrovascular Diseases 2020, 29: 105306. PMID: 33070110, PMCID: PMC7686163, DOI: 10.1016/j.jstrokecerebrovasdis.2020.105306.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsDefining facets of social distancing during the COVID-19 pandemic: Twitter analysis
Kwon J, Grady C, Feliciano JT, Fodeh SJ. Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis. Journal Of Biomedical Informatics 2020, 111: 103601. PMID: 33065264, PMCID: PMC7553881, DOI: 10.1016/j.jbi.2020.103601.Peer-Reviewed Original ResearchCitationsAltmetricMeSH KeywordsSerious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model
Womack JA, Murphy TE, Bathulapalli H, Smith A, Bates J, Jarad S, Redeker NS, Luther SL, Gill TM, Brandt CA, Justice AC. Serious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model. Journal Of The American Geriatrics Society 2020, 68: 2847-2854. PMID: 32860222, PMCID: PMC7744431, DOI: 10.1111/jgs.16773.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMiddle-aged veteransVeterans Health AdministrationOpioid useSerious fallsAlcohol Use Disorders Identification Test-Consumption scoresCategory-free net reclassification improvementIllicit substance use disordersMental health comorbiditiesPrescription opioid useMultivariable logistic regressionNet reclassification improvementSubstance use disordersQuality of lifeHazardous alcohol usePredictive risk modelChronic medicationsCohort studyHealth comorbiditiesNinth RevisionReclassification improvementGeriatric healthInjury codesHazardous alcoholInternational ClassificationUse disorders
Academic Achievements & Community Involvement
activity Utilizing Machine Learning for Patient Phenotyping
ResearchDetails12/01/2010 - 03/02/2021West Haven, CT, United States
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