2024
Use of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks
Lu Y, Keeley E, Barrette E, Cooper-DeHoff R, Dhruva S, Gaffney J, Gamble G, Handke B, Huang C, Krumholz H, McDonough C, Schulz W, Shaw K, Smith M, Woodard J, Young P, Ervin K, Ross J. Use of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks. BMC Cardiovascular Disorders 2024, 24: 497. PMID: 39289597, PMCID: PMC11409735, DOI: 10.1186/s12872-024-04161-x.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsHealth systemUncontrolled hypertensionUse of electronic health recordsHypertension managementElectronic health record systemsOneFlorida Clinical Research ConsortiumElectronic health record dataYale New Haven Health SystemBP measurementsICD-10-CM codesHealth system networkPublic health priorityICD-10-CMIncidence rate of deathElevated BP measurementsElevated blood pressure measurementsHealthcare visitsAmbulatory careHealth priorityRetrospective cohort studyEHR dataOneFloridaBlood pressure measurementsInternal tremors and vibrations in long COVID: a cross-sectional study
Zhou T, Sawano M, Arun A, Caraballo C, Michelsen T, McAlpine L, Bhattacharjee B, Lu Y, Khera R, Huang C, Warner F, Herrin J, Iwasaki A, Krumholz H. Internal tremors and vibrations in long COVID: a cross-sectional study. The American Journal Of Medicine 2024 PMID: 39069199, DOI: 10.1016/j.amjmed.2024.07.008.Peer-Reviewed Original ResearchNew-onset conditionsInternal tremorLong COVID symptomsCOVID symptomsNon-Hispanic whitesCross-sectional studyQuality of lifeVisual analogue scaleWorse healthHealth statusStudy participantsDemographic characteristicsAnalogue scaleOutcome variablesNeurological conditionsLong COVIDMast cell disordersTreatment experienceHealthComorbiditiesSymptomsMedian agePeopleCell disordersLong COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort
Sawano M, Wu Y, Shah R, Zhou T, Arun A, Khosla P, Kaleem S, Vashist A, Bhattacharjee B, Ding Q, Lu Y, Caraballo C, Warner F, Huang C, Herrin J, Putrino D, Michelsen T, Fisher L, Adinig C, Iwasaki A, Krumholz H. Long COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort. The American Journal Of Medicine 2024 PMID: 38663793, DOI: 10.1016/j.amjmed.2024.04.015.Peer-Reviewed Original ResearchExperiences of peopleHealth statusLong COVIDLower health statusNew-onset conditionsCommunity support servicesNon-Hispanic whitesArray of healthQuality of lifeVisual analogue scaleMental healthPsychological distressPsychological statusDescriptive studyHealthcare systemMedian scoreSupport servicesResearch cohortSocial isolationDemographic characteristicsAnalogue scaleImpact of long COVIDHealthFinancial stressParticipantsHeterogeneity in the Prognosis of Acute Kidney Injury Following Percutaneous Coronary Intervention
Hu J, Murugiah K, Xin X, Sawano M, Lu Y, Wilson F, Masoudi F, Messenger J, Krumholz H, Huang C. Heterogeneity in the Prognosis of Acute Kidney Injury Following Percutaneous Coronary Intervention. Journal Of The American Heart Association 2024, 13: e033649. PMID: 38390832, PMCID: PMC10944032, DOI: 10.1161/jaha.123.033649.Peer-Reviewed Original Research
2023
Effect of the New Glomerular Filtration Rate Estimation Equation on Risk Predicting Models for Acute Kidney Injury After Percutaneous Coronary Intervention
Huang C, Murugiah K, Li X, Masoudi F, Messenger J, Williams K, Mortazavi B, Krumholz H. Effect of the New Glomerular Filtration Rate Estimation Equation on Risk Predicting Models for Acute Kidney Injury After Percutaneous Coronary Intervention. Circulation Cardiovascular Interventions 2023, 16: e012831. PMID: 37009734, PMCID: PMC10622038, DOI: 10.1161/circinterventions.122.012831.Peer-Reviewed Original ResearchNonexercise machine learning models for maximal oxygen uptake prediction in national population surveys.
Liu Y, Herrin J, Huang C, Khera R, Dhingra L, Dong W, Mortazavi B, Krumholz H, Lu Y. Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys. Journal Of The American Medical Informatics Association 2023, 30: 943-952. PMID: 36905605, PMCID: PMC10114129, DOI: 10.1093/jamia/ocad035.Peer-Reviewed Original ResearchQuantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study
Lu Y, Linderman G, Mahajan S, Liu Y, Huang C, Khera R, Mortazavi B, Spatz E, Krumholz H. Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009258. PMID: 36883456, DOI: 10.1161/circoutcomes.122.009258.Peer-Reviewed Original ResearchConceptsRetrospective cohort studyBlood pressure valuesPatient characteristicsReal-world settingCohort studyPatient subgroupsYale New Haven Health SystemMean body mass indexSystolic blood pressure valuesBlood pressure visitHistory of hypertensionCoronary artery diseaseManagement of patientsMultivariable linear regression modelsBlood pressure readingsBody mass indexPatient-level measuresBlood pressure variationAbsolute standardized differencesNon-Hispanic whitesAntihypertensive medicationsReal-world practiceVisit variabilityArtery diseaseRegression models
2021
A Simple Recovery Framework for Signals with Time-Varying Sparse Support
Durgin N, Grotheer R, Huang C, Li S, Ma A, Needell D, Qin J. A Simple Recovery Framework for Signals with Time-Varying Sparse Support. Association For Women In Mathematics Series 2021, 26: 211-230. DOI: 10.1007/978-3-030-79891-8_9.Peer-Reviewed Original ResearchStochastic greedy algorithms for multiple measurement vectors
Qin J, Li S, Needell D, Ma A, Grotheer R, Huang C, Durgin N. Stochastic greedy algorithms for multiple measurement vectors. Inverse Problems And Imaging 2021, 15: 79-107. DOI: 10.3934/ipi.2020066.Peer-Reviewed Original Research
2019
Jointly Sparse Signal Recovery with Prior Info
Durgin N, Grotheer R, Huang C, Li S, Ma A, Needell D, Qin J. Jointly Sparse Signal Recovery with Prior Info. 2019, 00: 645-649. DOI: 10.1109/ieeeconf44664.2019.9048818.Peer-Reviewed Original ResearchFast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity
Durgin N, Grotheer R, Huang C, Li S, Ma A, Needell D, Qin J. Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2019, 00: 4758-4761. PMID: 31946925, DOI: 10.1109/embc.2019.8857069.Peer-Reviewed Original ResearchConceptsDiffuse optical tomographyDOT inverse problemHigh reconstruction accuracyJoint sparsityMultiple measurement vector (MMV) problemOptical imaging methodsNumerical resultsOptical tomographyGradient descent methodReconstruction accuracyAbsorption coefficientDOT dataNumber of wavelengthsDOT imagesImportant functional imaging modalityInverse problemImaging methodDescent methodFunctional imaging modalitiesStochastic greedy algorithmSparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors
Durgin N, Grotheer R, Huang C, Li S, Ma A, Needell D, Qin J. Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. Association For Women In Mathematics Series 2019, 17: 1-14. DOI: 10.1007/978-3-030-11566-1_1.Peer-Reviewed Original ResearchCompressed Anomaly Detection with Multiple Mixed Observations
Durgin N, Grotheer R, Huang C, Li S, Ma A, Needell D, Qin J. Compressed Anomaly Detection with Multiple Mixed Observations. Association For Women In Mathematics Series 2019, 17: 211-237. DOI: 10.1007/978-3-030-11566-1_10.Peer-Reviewed Original Research
2015
Robust w-Estimators for Cryo-EM Class Means
Huang C, Tagare H. Robust w-Estimators for Cryo-EM Class Means. IEEE Transactions On Image Processing 2015, 25: 893-906. PMID: 26841397, PMCID: PMC4871777, DOI: 10.1109/tip.2015.2512384.Peer-Reviewed Original Research
2014
Robust Estimation for Class Averaging in Cryo-EM Single Particle Reconstruction
Huang C, Tagare HD. Robust Estimation for Class Averaging in Cryo-EM Single Particle Reconstruction. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2014, 2014: 3329-3332. PMID: 25570703, DOI: 10.1109/embc.2014.6944335.Peer-Reviewed Original Research