Miotto, Riccardo

Deep learning for healthcare: review, opportunities and challenges

Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T. (2018) · Briefings in Bioinformatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 3,076

Deep patient: An unsupervised representation to predict the future of patients from the electronic health records

Miotto, R., Li, L., Kidd, B. A., & Dudley, J. T. (2016) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 1,710

Artificial intelligence in cardiology

Johnson, K. W., Torres Soto, J., Glicksberg, B. S., Shameer, K., Miotto, R., Ali, M., Ashley, E., & Dudley, J. T. (2018) · Journal of the American College of Cardiology

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 1,202

AKI in Hospitalized Patients with COVID-19

Chan, L., Chaudhary, K., Saha, A., Chauhan, K., Vaid, A., Zhao, S., Paranjpe, I., Somani, S., Richter, F., Miotto, R., et al. (2021) · Journal of the American Society of Nephrology

Acute Kidney Injury ResearchCOVID-19 Clinical Research Studies

Cited by 805

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Sheikhalishahi, S., Miotto, R., Dudley, J. T., Lavelli, A., Rinaldi, F., & Osmani, V. (2019) · JMIR Medical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 558

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

Vaid, A., Jaladanki, S. K., Xu, J., Teng, S., Kumar, A., Lee, S., Somani, S., Paranjpe, I., Freitas, J. K. D., Wanyan, T., et al. (2020) · JMIR Medical Informatics

Machine Learning in HealthcarePrivacy-Preserving Technologies in Data

Cited by 253

Deep representation learning of electronic health records to unlock patient stratification at scale

Landi, I., Glicksberg, B. S., Lee, H.-C., Cherng, S., Landi, G., Danieletto, M., Dudley, J. T., Furlanello, C., & Miotto, R. (2020) · npj Digital Medicine

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 213

Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams

Shameer, K., Badgeley, M. A., Miotto, R., Glicksberg, B. S., Morgan, J. W., & Dudley, J. T. (2017) · Briefings in Bioinformatics

Electronic Health Records SystemsHealthcare Technology and Patient Monitoring

Cited by 198

Deep Learning to Predict Patient Future Diseases from the Electronic Health Records

Miotto, R., Li, L., & Dudley, J. T. (2016) · Lecture Notes in Computer Science

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 59

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model

Glicksberg, B. S., Oskotsky, B., Thangaraj, P. M., Giangreco, N., Badgeley, M. A., Johnson, K. W., Datta, D., Rudrapatna, V. A., Rappoport, N., Shervey, M. M., et al. (2019) · Bioinformatics

Electronic Health Records SystemsMachine Learning in Healthcare

Cited by 45

A Self-Supervised Framework for Laboratory Data Imputation in Electronic Health Records

Heilbroner, S. P., Carter, C., Vidmar, D. M., Mueller, E. T., Stumpe, M. C., & Miotto, R. (2025) · Communications Medicine

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 1