Mortazavi, Bobak J.

Analysis of machine learning techniques for heart failure readmissions

Mortazavi, B. J., Downing, N. S., Bucholz, E. M., Dharmarajan, K., Manhapra, A., Li, S.-X., Negahban, S. N., & Krumholz, H. M. (2016) · Circulation: Cardiovascular Quality and Outcomes

Artificial Intelligence in HealthcareHeart Failure Treatment and Management

Cited by 401

Recommendations for Reporting Machine Learning Analyses in Clinical Research

Stevens, L. M., Mortazavi, B. J., Deo, R. C., Curtis, L., & Kao, D. P. (2020) · Circulation: Cardiovascular Quality and Outcomes

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 268

Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images

Sangha, V., Nargesi, A. A., Dhingra, L. S., Khunte, A., Mortazavi, B. J., Ribeiro, A. H., Banina, E., Adeola, O., Garg, N., Brandt, C. A., et al. (2023) · Circulation

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 150

Detection of Left Ventricular Systolic Dysfunction from Electrocardiographic Images

Sangha, V., Nargesi, A. A., Dhingra, L. S., Khunte, A., Mortazavi, B. J., Ribeiro, A. H., Banina, E., Adeola, O., Garg, N., Brandt, C. A., et al. (2022) · Circulation

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 150

Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices

Khunte, A., Sangha, V., Oikonomou, E. K., Dhingra, L. S., Aminorroaya, A., Mortazavi, B. J., Coppi, A., Brandt, C. A., Krumholz, H. M., & Khera, R. (2023) · npj Digital Medicine

ECG Monitoring and AnalysisNon-Invasive Vital Sign Monitoring

Cited by 95

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

Lee, S. I., Park, E., Huang, A., Mortazavi, B., Hayward Garst, J., Jahanforouz, N., Espinal, M., Siero, T., Pollack, S., Afridi, M., et al. (2016) · Medical Engineering & Physics

Spine and Intervertebral Disc PathologyMusculoskeletal pain and rehabilitation

Cited by 41

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

Ash, G. I., Stults-Kolehmainen, M., Busa, M. A., Gaffey, A. E., Angeloudis, K., Muniz-Pardos, B., Gregory, R., Huggins, R. A., Redeker, N. S., Weinzimer, S. A., et al. (2021) · Sports Medicine

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 41

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

Schulz, W. L., Young, H. P., Coppi, A., Mortazavi, B. J., Lin, Z., Jean, R. A., & Krumholz, H. M. (2021) · BMC Medical Informatics and Decision Making

Medical Coding and Health InformationElectronic Health Records Systems

Cited by 20

Moving Beyond the Model

Jain, S. S., Mortazavi, B. J., Chan You, S., Yao, X., Lam, C. S. P., Elias, P., Poterucha, T. J., Avram, R., Tison, G. H., Pirruccello, J., et al. (2025) · JACC

Clinical practice guidelines implementationHealth and Medical Research Impacts

Cited by 13

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

Huo, Z., PakBin, A., Chen, X., Hurley, N., Yuan, Y., Qian, X., Wang, Z., Huang, S., & Mortazavi, B. (2020) · arXiv

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 10

Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study

Chikwetu, L., Daily, S., Mortazavi, B. J., & Dunn, J. (2023) · JMIR Formative Research

Mobile Health and mHealth ApplicationsUsability and User Interface Design

Cited by 8