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 ResearchConceptsMiddle-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 ResearchConceptsPain 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 ResearchConceptsSubsequent 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 ResearchConceptsPain 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 ResearchTwitter-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 Research
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 ResearchIdentification 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 ResearchDefining 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 ResearchSerious 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 ResearchConceptsMiddle-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 disordersExploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization
Coleman BC, Fodeh S, Lisi AJ, Goulet JL, Corcoran KL, Bathulapalli H, Brandt CA. Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization. Chiropractic & Manual Therapies 2020, 28: 47. PMID: 32680545, PMCID: PMC7368704, DOI: 10.1186/s12998-020-00335-4.Peer-Reviewed Original ResearchConceptsSpinal pain conditionsService utilizationPain conditionsChiropractic careConservative interventionsChiropractic servicesVA chiropractic servicesRetrospective cohort studyHealthcare service utilizationHealthcare cost burdenLimited clinical utilityLower healthcare costsCohort entryCohort studyDiagnosis cohortPain statusPrimary outcomeChiropractic visitsClinical featuresUS adultsClinical utilityHealthcare costsDifferent clinical populationsVisitsClinical populationsReducing Annotation Burden Through Multimodal Learning
Lopez K, Fodeh SJ, Allam A, Brandt CA, Krauthammer M. Reducing Annotation Burden Through Multimodal Learning. Frontiers In Big Data 2020, 3: 19. PMID: 33693393, PMCID: PMC7931886, DOI: 10.3389/fdata.2020.00019.Peer-Reviewed Original ResearchMultimodal fusion techniquesTraining dataFusion techniqueAnnotation burdenClassification performanceLow annotation burdenMultimodal fusion methodLess training dataComparable classification performanceData fusion techniquesDomain expertsUnimodal modelsMultimodal dataFusion approachCompetitive resultsText reportsUnimodal counterpartsFusion methodUnimodal learningMultimodal modelCombined classificationPerformance of multimodalRadiological imagesMultimodalPerformanceDefining Facets of Social Distancing during the COVID-19 Pandemic: Twitter Analysis
doi: https://doi.org/10.1101/2020.04.26.20080937Peer-Reviewed Original ResearchInfluence of News Media and Public Health Agencies during Pre-Pandemic COVID-19: Twitter Analysis
https://doi.org/10.2196/preprints.19460Peer-Reviewed Original Research
2019
Polypharmacy, Hazardous Alcohol and Illicit Substance Use, and Serious Falls Among PLWH and Uninfected Comparators.
Womack JA, Murphy TE, Rentsch CT, Tate JP, Bathulapalli H, Smith AC, Bates J, Jarad S, Gibert CL, Rodriguez-Barradas MC, Tien PC, Yin MT, Gill TM, Friedlaender G, Brandt CA, Justice AC. Polypharmacy, Hazardous Alcohol and Illicit Substance Use, and Serious Falls Among PLWH and Uninfected Comparators. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2019, 82: 305-313. PMID: 31339866, PMCID: PMC7176040, DOI: 10.1097/qai.0000000000002130.Peer-Reviewed Original ResearchConceptsIllicit substance useHazardous alcoholSerious fallsUninfected comparatorsMedication classesOpioid prescriptionsSubstance useHIV statusMuscle relaxantsRisk factorsVeterans Aging Cohort StudyAging Cohort StudyIllicit substance abuseUnconditional logistic regressionNon-ART medicationsHazardous alcohol useSubstance use/abuseCase-control designKey risk factorsUse/abuseCohort studyMedication countInjury codesDuration of observationBaseline date
2018
Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification.
Fodeh SJ, Tiwari A. Exploiting MEDLINE for gene molecular function prediction via NMF based multi-label classification. Journal Of Biomedical Informatics 2018, 86: 160-166. PMID: 30130573, DOI: 10.1016/j.jbi.2018.08.009.Peer-Reviewed Original ResearchAutomatic extraction of informal topics from online suicidal ideation.
Grant RN, Kucher D, León AM, Gemmell JF, Raicu DS, Fodeh SJ. Automatic extraction of informal topics from online suicidal ideation. BMC Bioinformatics 2018, 19: 211. PMID: 29897319, PMCID: PMC5998765, DOI: 10.1186/s12859-018-2197-z.Peer-Reviewed Original Research
2017
Classifying clinical notes with pain assessment using machine learning
Fodeh SJ, Finch D, Bouayad L, Luther SL, Ling H, Kerns RD, Brandt C. Classifying clinical notes with pain assessment using machine learning. Medical & Biological Engineering & Computing 2017, 56: 1285-1292. PMID: 29280092, PMCID: PMC6014866, DOI: 10.1007/s11517-017-1772-1.Peer-Reviewed Original ResearchConceptsPain care qualityPain assessmentClinical notesChronic painMusculoskeletal diagnosesSignificant public health problemCharacteristics of patientsIntensity of painType of painPublic health problemPain sitesPain complaintsPatient reportsPainPatientsHealth problemsCare qualityFiscal year 2011Health recordsMillions of peopleComplete dataClinical applicationDiagnosisDemographic variablesWide spectrumRanking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach.
Chen J, Jagannatha AN, Fodeh SJ, Yu H. Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach. JMIR Medical Informatics 2017, 5: e42. PMID: 29089288, PMCID: PMC5686421, DOI: 10.2196/medinform.8531.Peer-Reviewed Original ResearchClassifying Clinical Notes with Pain Assessment.
Fodeh SJ, Finch D, Bouayad L, Luther S, Kerns RD, Brandt C. Classifying Clinical Notes with Pain Assessment. 2017, 245: 1261. PMID: 29295346.Peer-Reviewed Original Research