B. Mortazavi

发表

Analysis of Machine Learning Techniques for Heart Failure Readmissions

S. Negahban, H. Krumholz, Shu-Xia Li, 2016, Circulation. Cardiovascular quality and outcomes.

Using Intelligent Personal Annotations

R. Jafari, B. Mortazavi, A. Akbari, 2020 .

Recommendations for Reporting Machine Learning Analyses in Clinical Research

Rahul C. Deo, R. Deo, L. Curtis, 2020, Circulation. Cardiovascular quality and outcomes.

Phenotypes of Hypertensive Ambulatory Blood Pressure Patterns: Design and Rationale of the ECHORN Hypertension Study.

B. Roy, M. Nunez-Smith, M. Burg, 2019, Ethnicity & disease.

Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection

S. Farhadian, H. Krumholz, R. Herbst, 2020, medRxiv.

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks

Roozbeh Jafari, Harlan M. Krumholz, Nathan C. Hurley, 2020, MLHC.

Quantitative assessment of hand motor function in cervical spinal disorder patients using target tracking tests.

Brian H. Paak, Jordan H. Garst, Daniel C. Lu, 2016, Journal of rehabilitation research and development.

Establishing a Global Standard for Wearable Devices in Sport and Exercise Medicine: Perspectives from Academic and Industry Stakeholders

Garrett I. Ash, Lauren A. Grieco, Julien S. Baker, 2021, Sports Medicine.

Objectively quantifying walking ability in degenerative spinal disorder patients using sensor equipped smart shoes.

Majid Sarrafzadeh, Bobak Mortazavi, Sunghoon Ivan Lee, 2016, Medical engineering & physics.

The Use of Telehealth Technology to Support Health Coaching for Older Adults: Literature Review (Preprint)

Farzan Sasangohar, S. Fields, B. Mortazavi, 2020 .

Temporal relationship of computed and structured diagnoses in electronic health record data

Raymond A. Jean, H. Krumholz, Zhenqiu Lin, 2020, BMC Medical Informatics and Decision Making.

SOFA score performs worse than age for predicting mortality in patients with COVID-19

R. A. Taylor, B. Tolchin, B. Mortazavi, 2022, medRxiv.

Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images

E. Miller, B. Mortazavi, R. Khera, 2022, medRxiv.

Prediction of Adverse Events in Patients Undergoing Major Cardiovascular Procedures

Jing Zhang, Fred Warner, Harlan M. Krumholz, 2017, IEEE Journal of Biomedical and Health Informatics.

Non-exercise Machine Learning Models for Maximal Oxygen Uptake Prediction in National Population Surveys

H. Krumholz, B. Mortazavi, R. Khera, 2022, medRxiv.

Detection of Left Ventricular Systolic Dysfunction from Single-Lead Electrocardiography Adapted for Wearable Devices

H. Krumholz, B. Mortazavi, A. Coppi, 2022, medRxiv.

Multi-dimensional signal search with applications in remote medical monitoring

Majid Sarrafzadeh, Bobak Mortazavi, Maryam Moazeni, 2013, 2013 IEEE International Conference on Body Sensor Networks.

Machine Learning Prediction of Mortality and Hospitalization in Heart Failure with Preserved Ejection Fraction.

H. Krumholz, J. Spertus, N. Desai, 2020, JACC. Heart failure.

Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns

H. Krumholz, S. Chaudhry, E. Spatz, 2020, BMJ Open.

Protocol for Project Recovery: Cardiac Surgery - Leveraging Digital Platform for Efficient Collection of Longitudinal Patient-Reported Outcome Data Towards Improving Postoperative Recovery

H. Krumholz, S. Chaudhry, E. Spatz, 2020, medRxiv.

Dynamic Task Optimization in Remote Diabetes Monitoring Systems

Hassan Ghasemzadeh, Majid Sarrafzadeh, Alex A. T. Bui, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection

S. Farhadian, H. Krumholz, R. Herbst, 2021, PloS one.

Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms

Hassan Ghasemzadeh, Rabijit Dutta, Niloofar Hezarjaribi, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The Rickettsia Endosymbiont of Ixodes pacificus Contains All the Genes of De Novo Folate Biosynthesis

Timothy J. Laurent, James Bodnar, J. Torkelson, 2015, PloS one.

Automated multilabel diagnosis on electrocardiographic images and signals

A. L. Ribeiro, A. Haimovich, W. Schulz, 2021, Nature Communications.

A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders

Roozbeh Jafari, Harlan M. Krumholz, Nathan C. Hurley, 2020, ACM Trans. Comput. Heal..

A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders pdf

Roozbeh Jafari, Harlan M. Krumholz, Nathan C. Hurley, 2019, ArXiv.

Study Protocol for the Pilot Evaluation for SMartphone-adaptable Artificial Intelligence for PRediction and DeTection of Left Ventricular Systolic Dysfunction (The SMART-LV Pilot Study Protocol)

F. Wilson, B. Mortazavi, R. Khera, 2023, medRxiv.

The National Institutes of Health funding for clinical research applying machine learning techniques in 2017

H. Krumholz, B. Mortazavi, Suveen Angraal, 2020, npj Digital Medicine.

Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention

Harlan M Krumholz, Nihar R Desai, Chenxi Huang, 2019, JAMA network open.

Can Smartwatches Replace Smartphones for Posture Tracking?

Majid Sarrafzadeh, Arash Naeim, Bobak Mortazavi, 2015, Sensors.

A human-centered wearable sensing platform with intelligent automated data annotation capabilities

Roozbeh Jafari, Ali Akbari, Bobak J. Mortazavi, 2019, IoTDI.

Association of Use of an Intravascular Microaxial Left Ventricular Assist Device vs Intra-aortic Balloon Pump With In-Hospital Mortality and Major Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock.

J. Messenger, H. Krumholz, N. Desai, 2020, JAMA.

Enhancing Continuous Glucose Monitoring-based Eating Detection with Wearable Biomarkers

Ali R. Roghanizad, J. Dunn, G. Ash, 2022, 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Performance Metrics for the Comparative Analysis of Clinical Risk Prediction Models Employing Machine Learning

J. Spertus, J. Rumsfeld, Shu-Xia Li, 2021, Circulation. Cardiovascular quality and outcomes.

Near-Realistic Mobile Exergames With Wireless Wearable Sensors

Hassan Ghasemzadeh, Majid Sarrafzadeh, Bobak Mortazavi, 2014, IEEE Journal of Biomedical and Health Informatics.

A Wireless Body-wearable Sensor System for Designing Physically Interactive Video Games

Majid Sarrafzadeh, Jonathan Woodbridge, Bobak Mortazavi, 2011, BIODEVICES.

Use of Mechanical Circulatory Support Devices Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock

J. Messenger, H. Krumholz, N. Desai, 2021, JAMA network open.

Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery pdf

Xiaohan Chen, Bobak Mortazavi, Xiaoning Qian, 2020, AISTATS.

A comparison of piezoelectric-based inertial sensing and audio-based detection of swallows

Majid Sarrafzadeh, Nabil Alshurafa, Bobak Mortazavi, 2016 .

A Prediction Model for Functional Outcomes in Spinal Cord Disorder Patients Using Gaussian Process Regression

Majid Sarrafzadeh, Bobak Mortazavi, Eunjeong Park, 2016, IEEE Journal of Biomedical and Health Informatics.

Toward Dynamic Risk Prediction of Outcomes After Coronary Artery Bypass Graft

Raymond A. Jean, H. Krumholz, M. Mori, 2021, Circulation. Cardiovascular quality and outcomes.

Objective assessment of overexcited hand movements using a lightweight sensory device

Hassan Ghasemzadeh, Majid Sarrafzadeh, Bobak Mortazavi, 2013, 2013 IEEE International Conference on Body Sensor Networks.

Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction.

S. Normand, H. Krumholz, J. Spertus, 2021, JAMA cardiology.

Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping pdf

Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi, 2019, Smart Health.

Prediction of ICU Readmissions Using Data at Patient Discharge

Bobak Mortazavi, Harlan M. Krumholz, Wade L. Schulz, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Personalized Meal Classification Using Continuous Glucose Monitors

Ricardo Gutierrez-Osuna, Theodora Chaspari, Bobak J. Mortazavi, 2021, IUI Workshops.

Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study

K. Murugiah, H. Krumholz, J. Spertus, 2018, PLoS medicine.

The Use of Telehealth Technology to Support Health Coaching for Older Adults: Literature Review

S. Fields, B. Mortazavi, Carl Markert, 2021, JMIR human factors.

Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions

Hassan Ghasemzadeh, Roozbeh Jafari, Mohammad Pourhomayoun, 2015, IEEE Internet of Things Journal.

Multiple model analytics for adverse event prediction in remote health monitoring systems

Hassan Ghasemzadeh, Majid Sarrafzadeh, Nabil Alshurafa, 2014, 2014 IEEE Healthcare Innovation Conference (HIC).

Multiple model recognition for near-realistic exergaming

Majid Sarrafzadeh, Bobak Mortazavi, Mohammad Pourhomayoun, 2015, 2015 IEEE International Conference on Pervasive Computing and Communications (PerCom).

Determining the Single Best Axis for Exercise Repetition Recognition and Counting on SmartWatches

Majid Sarrafzadeh, Nabil Alshurafa, Bobak Mortazavi, 2014, 2014 11th International Conference on Wearable and Implantable Body Sensor Networks.

Support vector regression to estimate the metabolic equivalent of task of exergaming actions

Majid Sarrafzadeh, Nabil Alshurafa, Bobak Mortazavi, 2014, 2014 IEEE Healthcare Innovation Conference (HIC).

The Challenges of Episodic Office-based Blood Pressure Measurement for the Management of Hypertension

E. Spatz, G. Linderman, B. Mortazavi, 2021, medRxiv.

Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention

H. Krumholz, J. Spertus, J. Rumsfeld, 2019, JAMA network open.

MET calculations from on-body accelerometers for exergaming movements

Majid Sarrafzadeh, Mars Lan, Bobak Mortazavi, 2013, 2013 IEEE International Conference on Body Sensor Networks.

Probabilistic segmentation of time-series audio signals using Support Vector Machines

Majid Sarrafzadeh, Nabil Alshurafa, Bobak Mortazavi, 2016, Microprocess. Microsystems.

Machine-learning to Improve Prediction of Mortality following Acute Myocardial Infarction: An Assessment in the NCDR-Chest Pain-Myocardial Infarction Registry

S. Normand, H. Krumholz, J. Spertus, 2019, bioRxiv.

A dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention

S. Negahban, J. Rumsfeld, W. Schulz, 2021, medRxiv.

Designing a Robust Activity Recognition Framework for Health and Exergaming Using Wearable Sensors

Majid Sarrafzadeh, Ming-Chun Huang, Wenyao Xu, 2014, IEEE Journal of Biomedical and Health Informatics.

Knowledge-driven dictionaries for sparse representation of continuous glucose monitoring signals

Ricardo Gutierrez-Osuna, Bobak Mortazavi, Ashutosh Sabharwal, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Sparse representation models of continuous glucose monitoring time-series

A. Sabharwal, Theodora Chaspari, R. Gutierrez-Osuna, 2017 .

Effect of removing race correction factor in glomerular filtration rate estimation on predicting acute kidney injury after percutaneous coronary intervention

J. Messenger, K. Murugiah, F. Masoudi, 2022, medRxiv.

Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts

Nathan C. Hurley, Bobak J. Mortazavi, Sanket Dhruva, 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).

Reinforcement Learning using EEG signals for Therapeutic Use of Music in Emotion Management

Theodora Chaspari, Bobak J. Mortazavi, Esha Dutta, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Using Intelligent Personal Annotations to Improve Human Activity Recognition for Movements in Natural Environments

Roozbeh Jafari, Roger Solis Castilla, Ali Akbari, 2020, IEEE Journal of Biomedical and Health Informatics.

Predicting the meal macronutrient composition from continuous glucose monitors

Ricardo Gutierrez-Osuna, Theodora Chaspari, Bobak J. Mortazavi, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention pdf

Nathan C. Hurley, Adrian D. Haimovich, Bobak J. Mortazavi, 2020, MLHC.

Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems

Majid Sarrafzadeh, Nabil Alshurafa, Costas Sideris, 2017, IEEE Transactions on Biomedical Engineering.

BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates

Donald K. K. Lee, Hongyu Zhao, Xiaochen Wang, 2020, ICML.

Theory and software for boosted nonparametric hazard estimation

Donald K. K. Lee, H. Ishwaran, Ningyuan Chen, 2021, SPACA.

Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images

E. Miller, B. Mortazavi, R. Khera, 2023, Circulation.

Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards

Donald K. K. Lee, Zhale Nowroozilarki, Bobak J. Mortazavi, 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).

Biometric Contrastive Learning for Data-Efficient Deep Learning from Electrocardiographic Images

B. Mortazavi, Z. Wang, V. Sangha, 2023, medRxiv.

GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data

Xiaoning Qian, Zhangyang Wang, Bobak Mortazavi, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Timing of blood draws among hospitalized patients: An evaluation of the electronic health records from a large health care system

K. Murugiah, B. Mortazavi, R. Khera, 2022, medRxiv.

BoXHED2.0: Scalable boosting of dynamic survival analysis

Donald K. K. Lee, Xiaochen Wang, B. Mortazavi, 2021, 2103.12591.

BoXHED 2.0: Scalable boosting of functional data in survival analysis pdf

Donald K. K. Lee, Bobak J. Mortazavi, Arash Pakbin, 2021, ArXiv.

02 1 BoXHED 2 . 0 : S CALABLE BOOSTING OF FUNCTIONAL DATA IN SURVIVAL ANALYSIS

Xiaochen Wang, B. Mortazavi, 2021 .

User-centric exergaming with fine-grain activity recognition: a dynamic optimization approach

Majid Sarrafzadeh, Bobak Mortazavi, Sunghoon Ivan Lee, 2014, UbiComp Adjunct.

Towards The Development of Subject-Independent Inverse Metabolic Models

Ricardo Gutierrez-Osuna, Theodora Chaspari, Bobak J. Mortazavi, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Designing a Robust Activity Recognition Framework for Health and Exergaming Using Wearable Sensors

Wenyao Xu, M. Sarrafzadeh, N. Alshurafa, 2014, IEEE Journal of Biomedical and Health Informatics.

User-optimized activity recognition for exergaming

Majid Sarrafzadeh, Bobak Mortazavi, Mohammad Pourhomayoun, 2016, Pervasive Mob. Comput..

A Survey on Smart Homes for Aging in Place: Toward Solutions to the Specific Needs of the Elderly

Roozbeh Jafari, Ashok Veeraraghavan, Ashutosh Sabharwal, 2018, IEEE Signal Processing Magazine.

High performance biomedical time series indexes using salient segmentation

Majid Sarrafzadeh, Alex A. T. Bui, Jonathan Woodbridge, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Aggregated Indexing of Biomedical Time Series Data

Majid Sarrafzadeh, Alex A. T. Bui, Jonathan Woodbridge, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

Explainable Prediction of Adverse Outcomes Using Clinical Notes pdf

Justin R. Lovelace, Nathan C. Hurley, Adrian D. Haimovich, 2019, ArXiv.

Objectively quantifying walking ability in degenerative spinal disorder patients using sensor equipped smart shoes.

Jordan H. Garst, Daniel C. Lu, M. Sarrafzadeh, 2016, Medical Engineering and Physics.