Malin, Bradley

A Systematic Review of Re-Identification Attacks on Health Data

El Emam, K., Jonker, E., Arbuckle, L., & Malin, B. (2011) · PLoS ONE

Privacy-Preserving Technologies in DataThoreau and American Literature

Cited by 427

Privacy in the Genomic Era

Naveed, M., Ayday, E., Clayton, E. W., Fellay, J., Gunter, C. A., Hubaux, J.-P., Malin, B. A., & Wang, X. (2015) · ACM Computing Surveys

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 261

Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation

Yan, C., Grabowska, M. E., Dickson, A. L., Li, B., Wen, Z., Roden, D. M., Michael Stein, C., Embí, P. J., Peterson, J. F., Feng, Q., et al. (2024) · npj Digital Medicine

Alzheimer's disease research and treatmentsComputational Drug Discovery Methods

Cited by 73

SCOR: A secure international informatics infrastructure to investigate COVID-19

Raisaro, J. L., Marino, F., Troncoso-Pastoriza, J., Beau-Lejdstrom, R., Bellazzi, R., Murphy, R., Bernstam, E. V., Wang, H., Bucalo, M., Chen, Y., et al. (2020) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataCOVID-19 Digital Contact Tracing

Cited by 40

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness

Zhang, G., Jin, Q., Jered McInerney, D., Chen, Y., Wang, F., Cole, C. L., Yang, Q., Wang, Y., Malin, B. A., Peleg, M., et al. (2024) · Journal of Biomedical Informatics

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 40

Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning

Chen, B., Alrifai, W., Gao, C., Jones, B., Novak, L., Lorenzi, N., France, D., Malin, B., & Chen, Y. (2021) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 39

Predicting next-day discharge via electronic health record access logs

Zhang, X., Yan, C., Malin, B. A., Patel, M. B., & Chen, Y. (2021) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 38

Identifying collaborative care teams through electronic medical record utilization patterns

Chen, Y., Lorenzi, N. M., Sandberg, W. S., Wolgast, K., & Malin, B. A. (2017) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMachine Learning in Healthcare

Cited by 34

Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process

Collins, B. X., Bélisle-Pipon, J.-C., Evans, B. J., Ferryman, K., Jiang, X., Nebeker, C., Novak, L., Roberts, K., Were, M., Yin, Z., et al. (2024) · JAMIA Open

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 21

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS)

El Emam, K., Leung, T. I., Malin, B., Klement, W., & Eysenbach, G. (2024) · Journal of Medical Internet Research

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare

Cited by 16

Fact Check: Assessing the Response of ChatGPT to Alzheimer's Disease Myths

Huang, S. S., Song, Q., Beiting, K. J., Duggan, M. C., Hines, K., Murff, H., Leung, V., Powers, J., Harvey, T. S., Malin, B., et al. (2024) · Journal of the American Medical Directors Association

Artificial Intelligence in Healthcare and EducationMisinformation and Its Impacts

Cited by 9

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS) (Preprint)

El Emam, K., Leung, T. I., Malin, B., Klement, W., & Eysenbach, G. (2024)

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare

Cited by 0