Chenxi Huang
Associate Research Scientist
Research & Publications
Biography
News
Coauthors
Selected Publications
- Effect of the New Glomerular Filtration Rate Estimation Equation on Risk Predicting Models for Acute Kidney Injury After Percutaneous Coronary InterventionHuang 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.
- Nonexercise 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.
- Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort StudyLu 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.
- Abstract 13030: Non-Exercise Machine Learning Model for Maximal Oxygen Uptake Prediction in National Population SurveysLiu Y, Huang C, Mortazavi B, Khera R, Krumholz H, Lu Y. Abstract 13030: Non-Exercise Machine Learning Model for Maximal Oxygen Uptake Prediction in National Population Surveys. Circulation 2022, 146: a13030-a13030. DOI: 10.1161/circ.146.suppl_1.13030.
- Abstract 242: Assessing Variation In Data Captured By Clinical Registries And The Electronic Health Record: Clinical Phenotypes Of Patients Undergoing Cardiac CatheterizationSheppard J, Huang C, Mortazavi B, Schulz W, Krumholz H, Khera R. Abstract 242: Assessing Variation In Data Captured By Clinical Registries And The Electronic Health Record: Clinical Phenotypes Of Patients Undergoing Cardiac Catheterization. Circulation Cardiovascular Quality And Outcomes 2022, 15 DOI: 10.1161/circoutcomes.15.suppl_1.242.
- PO-669-03 MACHINE LEARNING BASED ONE-YEAR MORTALITY PREDICTION IN PATIENTS UNDERGOING PRIMARY PREVENTION CARDIOVERTER DEFIBRILLATOR IMPLANTATION: A RETROSPECTIVE COHORT STUDYZiki M, Annapureddy A, Hurley N, Mahajan S, Murugiah K, Huang C, Caraballo C, Khera R, Ranasinghe I, Curtis J, Rumsfeld J, Masoudi F, Mortazavi B, Krumholz H. PO-669-03 MACHINE LEARNING BASED ONE-YEAR MORTALITY PREDICTION IN PATIENTS UNDERGOING PRIMARY PREVENTION CARDIOVERTER DEFIBRILLATOR IMPLANTATION: A RETROSPECTIVE COHORT STUDY. Heart Rhythm 2022, 19: s316-s317. DOI: 10.1016/j.hrthm.2022.03.398.
- Abstract 10210: Automating Risk Assessment of Acute Kidney Injury for Patients Undergoing Percutaneous Coronary InterventionHuang C, Murugiah K, Annapureddy A, Schulz W, Masoudi F, Rumsfeld J, Mortazavi B, Krumholz H. Abstract 10210: Automating Risk Assessment of Acute Kidney Injury for Patients Undergoing Percutaneous Coronary Intervention. Circulation 2021, 144: a10210-a10210. DOI: 10.1161/circ.144.suppl_1.10210.
- A Simple Recovery Framework for Signals with Time-Varying Sparse SupportDurgin N, Grotheer R, Huang C, Li S, Ma A, Needell D, Qin J. A Simple Recovery Framework for Signals with Time-Varying Sparse Support. 2021, 26: 211-230. DOI: 10.1007/978-3-030-79891-8_9.
- Stochastic greedy algorithms for multiple measurement vectorsQin 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.
- Abstract 16061: Antihypertensive Therapy Prescribing Pattern Among Patients With Markedly Elevated Blood Pressure in a Real-world SettingLu Y, Huang C, Mahajan S, Caraballo C, Spatz E, Schulz W, Krumholz H. Abstract 16061: Antihypertensive Therapy Prescribing Pattern Among Patients With Markedly Elevated Blood Pressure in a Real-world Setting. Circulation 2020, 142 DOI: 10.1161/circ.142.suppl_3.16061.
- Jointly Sparse Signal Recovery with Prior InfoDurgin 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.
- Fast Hyperspectral Diffuse Optical Imaging Method with Joint SparsityDurgin 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.
- Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement VectorsDurgin 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. 2019, 17: 1-14. DOI: 10.1007/978-3-030-11566-1_1.
- Compressed Anomaly Detection with Multiple Mixed ObservationsDurgin N, Grotheer R, Huang C, Li S, Ma A, Needell D, Qin J. Compressed Anomaly Detection with Multiple Mixed Observations. 2019, 17: 211-237. DOI: 10.1007/978-3-030-11566-1_10.
- TOWARD IDENTIFYING PERSONALIZED PROGNOSIS IN HYPERTENSION: VARIATION IN EARLY RESPONSES IN THE ANTIHYPERTENSIVE AND LIPID-LOWERING TREATMENT TO PREVENT HEART ATTACK TRIAL (ALLHAT)Dhruva S, Huang C, Spatz E, Coppi A, Warner F, Li S, Lin H, Xu X, Furberg C, Davis B, Pressel S, Coifman R, Krumholz H. TOWARD IDENTIFYING PERSONALIZED PROGNOSIS IN HYPERTENSION: VARIATION IN EARLY RESPONSES IN THE ANTIHYPERTENSIVE AND LIPID-LOWERING TREATMENT TO PREVENT HEART ATTACK TRIAL (ALLHAT). Journal Of The American College Of Cardiology 2017, 69: 1762. DOI: 10.1016/s0735-1097(17)35151-3.
- Robust w-Estimators for Cryo-EM Class MeansHuang 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.
- Robust Estimation for Class Averaging in Cryo-EM Single Particle ReconstructionHuang 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.