Haseena Rajeevan, PhD
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Research Scientist in Biomedical Informatics
Biography
Haseena Rajeevan, PhD has extensive experience in working with genetic variation and clinical data and has contributed to the design, development, and implementation of publicly available genetic variation and medical informatics resources.
Appointments
Biomedical Informatics & Data Science
Research ScientistPrimary
Other Departments & Organizations
- Alzheimer's Disease Research Center (ADRC)
- Biomedical Informatics & Data Science
- Center for Medical Informatics
- Kidd Lab
- Yale Superfund Research Center
Education & Training
- MS
- University of New Haven, Computer Science (2001)
- PhD
- Cochin University of Science Technology, Atmospheric Sciences (1998)
- MSc
- Cochin University of Science and Technology, Atmospheric Sciences (1990)
- BSc
- Sree Narayana College, Physics (1987)
Research
Overview
Ongoing Projects:
- Allele Frequency Database (ALFRED) is designed to make allele frequency data on human population samples readily available for use by the scientific and educational communities. Designed and implemented under the direction of Kenneth Kidd, PhD (Population Genetics)
- Forensic Resource & Reference On Genetics knowledge base (FROG-kb) seeks to make allele frequency data for SNPs and other genetic polymorphisms more useful in a forensic setting. The primary objective of FROG-kb is to provide a web interface that, from a forensic perspective, is useful for teaching and research and can serve as a tool facilitating forensic practice. Designed and implemented under the direction of Kenneth Kidd, PhD (Population Genetics)
- Yale Center for Asthma and Airway Diseases (YCAAD) is a database application designed and implemented under the direction of Geoffrey Chupp, MD; YCAAD is the data repository for ongoing clinical research in airway diseases.
- Electronic Medical Management of Asthma (EMMA) is a web based tool that seeks to provide cutting edge care to patients with asthma.
- PainEASE is an application designed to assist Veterans with learning pain self-management skills
- Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) - clinical trial to test individually tailored interventions to prevent fall-related injuries.
Medical Subject Headings (MeSH)
Asthma; Climate Change; Database; Genetics, Population; Medical Informatics Applications; Medical Informatics Computing
Research at a Glance
Yale Co-Authors
Frequent collaborators of Haseena Rajeevan's published research.
Publications Timeline
A big-picture view of Haseena Rajeevan's research output by year.
Research Interests
Research topics Haseena Rajeevan is interested in exploring.
Kenneth Kidd, PhD
F. Perry Wilson, MD, MSCE
James Dziura, MPH, PhD
Robert Kerns, PhD
Bidisha Nath, MBBS, MPH
Fangyong Li, MS, MPH
28Publications
765Citations
Genetics, Population
Asthma
Publications
2023
Differences in Mortality Among Patients With Asthma and COPD Hospitalized With COVID-19
Liu Y, Rajeevan H, Simonov M, Lee S, Wilson F, Desir G, Vinetz J, Yan X, Wang Z, Clark B, Possick J, Price C, Lutchmansingh D, Ortega H, Zaeh S, Gomez J, Cohn L, Gautam S, Chupp G. Differences in Mortality Among Patients With Asthma and COPD Hospitalized With COVID-19. The Journal Of Allergy And Clinical Immunology In Practice 2023, 11: 3383-3390.e3. PMID: 37454926, PMCID: PMC10787810, DOI: 10.1016/j.jaip.2023.07.006.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsChronic obstructive pulmonary diseaseType 2 inflammationCOVID-19 severitySOFA scoreAirway diseaseNoneosinophilic asthmaSequential Organ Failure Assessment scoreOrgan Failure Assessment scoreSevere coronavirus disease 2019Higher SOFA scoreMedian SOFA scoreRetrospective cohort studyObstructive pulmonary diseaseOdds of mortalityLower SOFA scoresCells/μLCOVID-19 outcomesCoronavirus disease 2019Logistic regression analysisCOVID-19Clinical confoundersAsthma patientsCohort studyImmunological factorsClinical featuresMachine Learning Prediction of Severe Asthma and COPD Hospital Readmission
Li H, Lopez K, Lipkin-Moore Z, Kay S, Rajeevan H, Davis J, Wilson F, Rochester C, Gomez J. Machine Learning Prediction of Severe Asthma and COPD Hospital Readmission. 2023, a4831-a4831. DOI: 10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a4831.Peer-Reviewed Original ResearchDeep learning prediction of hospital readmissions for asthma and COPD
Lopez K, Li H, Lipkin-Moore Z, Kay S, Rajeevan H, Davis J, Wilson F, Rochester C, Gomez J. Deep learning prediction of hospital readmissions for asthma and COPD. Respiratory Research 2023, 24: 311. PMID: 38093373, PMCID: PMC10720134, DOI: 10.1186/s12931-023-02628-7.Peer-Reviewed Original ResearchCitationsAltmetric
2022
User centered clinical decision support to implement initiation of buprenorphine for opioid use disorder in the emergency department: EMBED pragmatic cluster randomized controlled trial
Melnick ER, Nath B, Dziura JD, Casey MF, Jeffery MM, Paek H, Soares WE, Hoppe JA, Rajeevan H, Li F, Skains RM, Walter LA, Patel MD, Chari SV, Platts-Mills TF, Hess EP, D'Onofrio G. User centered clinical decision support to implement initiation of buprenorphine for opioid use disorder in the emergency department: EMBED pragmatic cluster randomized controlled trial. The BMJ 2022, 377: e069271. PMID: 35760423, PMCID: PMC9231533, DOI: 10.1136/bmj-2021-069271.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsOpioid use disorderUsual care armEmergency departmentUse disordersCare armPragmatic clusterClinical decision supportIntervention armRoutine emergency careSecondary implementation outcomesSeverity of withdrawalTertiary care centerClinical decision support toolInitiation of buprenorphineElectronic health record tasksElectronic health record workflowsRE-AIM frameworkElectronic health record platformsHealth record platformsClinical decision support systemElectronic health recordsVisit documentationTreatment of addictionUsual careAdult patientsIf you personalize it, will they use it?: Self-reported and observed use of a tailored, internet-based pain self-management program
Reuman L, Solar C, MacLean RR, Halat AM, Rajeevan H, Williams DA, Heapy AA, Bair MJ, Krein SL, Kerns RD, Higgins DM. If you personalize it, will they use it?: Self-reported and observed use of a tailored, internet-based pain self-management program. Translational Behavioral Medicine 2022, 12: 693-701. PMID: 35192703, PMCID: PMC9154266, DOI: 10.1093/tbm/ibab165.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and Concepts
2021
A fast likelihood approach for estimation of large phylogenies from continuous trait data
Peng J, Rajeevan H, Kubatko L, RoyChoudhury A. A fast likelihood approach for estimation of large phylogenies from continuous trait data. Molecular Phylogenetics And Evolution 2021, 161: 107142. PMID: 33713799, DOI: 10.1016/j.ympev.2021.107142.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsContinuous trait dataMaximum likelihood estimatorMaximum likelihood estimatesMathematical propertiesHundreds of taxaInternal branch lengthsFast approximationAddition of taxaLarge-scale genomic dataCollection of methodsBayesian frameworkLikelihood estimatorLikelihood estimatesLikelihood approachMaximum likelihoodIntensive calculationsModel-based methodApproximationLarge phylogeniesComparable accuracyPossible phylogenyInferenceBranch lengthsEstimatorSuch data
2020
Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain
Solar C, Halat AM, MacLean RR, Rajeevan H, Williams DA, Krein SL, Heapy AA, Bair MJ, Kerns RD, Higgins DM. Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain. Translational Behavioral Medicine 2020, 11: 1274-1282. PMID: 33098304, DOI: 10.1093/tbm/ibaa098.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsChronic low back painLow back painClinical characteristicsBack painChronic painEASE programParticipant characteristicsInternet-based cognitive behavioural therapy programmeInternet-based cognitive behavioral therapy interventionInternet-based interventionsCognitive behavioral therapy interventionInternet-based programCognitive behavioral therapy programBehavioral therapy interventionBehavioral therapy programRace/ethnicityPain careMean ageNumber of loginsIncreased ageTherapy interventionWeek trialPainTherapy programPredictors of engagementA Randomized Trial of a Multifactorial Strategy to Prevent Serious Fall Injuries
Bhasin S, Gill TM, Reuben DB, Latham NK, Ganz DA, Greene EJ, Dziura J, Basaria S, Gurwitz JH, Dykes PC, McMahon S, Storer TW, Gazarian P, Miller ME, Travison TG, Esserman D, Carnie MB, Goehring L, Fagan M, Greenspan SL, Alexander N, Wiggins J, Ko F, Siu AL, Volpi E, Wu AW, Rich J, Waring SC, Wallace RB, Casteel C, Resnick NM, Magaziner J, Charpentier P, Lu C, Araujo K, Rajeevan H, Meng C, Allore H, Brawley BF, Eder R, McGloin JM, Skokos EA, Duncan PW, Baker D, Boult C, Correa-de-Araujo R, Peduzzi P. A Randomized Trial of a Multifactorial Strategy to Prevent Serious Fall Injuries. New England Journal Of Medicine 2020, 383: 129-140. PMID: 32640131, PMCID: PMC7421468, DOI: 10.1056/nejmoa2002183.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSerious fall injuriesFall injuriesIntervention groupControl groupUsual careMultifactorial interventionRate of hospitalizationPrimary care practicesCluster-randomized trialCommunity-dwelling adultsFirst-event analysisYears of ageHealth care systemRate of fallElectronic health recordsBaseline characteristicsPrimary outcomeRandomized trialsMean ageEfficacy trialsIndividualized planCare practicesInjuryMultifactorial strategyEvent ratesInterrupted Time Series of User‐centered Clinical Decision Support Implementation for Emergency Department–initiated Buprenorphine for Opioid Use Disorder
Holland WC, Nath B, Li F, Maciejewski K, Paek H, Dziura J, Rajeevan H, Lu CC, Katsovich L, D'Onofrio G, Melnick ER. Interrupted Time Series of User‐centered Clinical Decision Support Implementation for Emergency Department–initiated Buprenorphine for Opioid Use Disorder. Academic Emergency Medicine 2020, 27: 753-763. PMID: 32352206, PMCID: PMC7496559, DOI: 10.1111/acem.14002.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsOpioid use disorderComputerized clinical decision support systemsRates of EDBUP initiationUse disordersClinical decision support implementationEmergency department initiationRoutine emergency careInterrupted time series studyAdult ED patientsInterrupted time seriesClinical decision support systemElectronic health recordsClinicians' unfamiliarityED initiationDecision support implementationED dischargeOpioid withdrawalSecondary outcomesOngoing trialsPrimary outcomeAcademic EDED patientsSingle EDUnique patientsInternet‐Based Pain Self‐Management for Veterans: Feasibility and Preliminary Efficacy of the Pain EASE Program
Higgins DM, Buta E, Williams DA, Halat A, Bair MJ, Heapy AA, Krein SL, Rajeevan H, Rosen MI, Kerns RD. Internet‐Based Pain Self‐Management for Veterans: Feasibility and Preliminary Efficacy of the Pain EASE Program. Pain Practice 2020, 20: 357-370. PMID: 31778281, DOI: 10.1111/papr.12861.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsChronic low back painSelf-management programPain interferencePreliminary efficacyInternet-based self-management programPhase IPost-baseline assessmentLow back painPain Self-ManagementPhase IIPreliminary efficacy studyTechnology-delivered interventionsModerate painSecondary outcomesPain intensityBack painAverage ageEfficacy studiesDepression symptomsSubject improvementExpert panelSelf-ManagementSubject changesEASE programWeeks
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