Lizotte, Daniel J.

Predicting responses to platin chemotherapy agents with biochemically-inspired machine learning

Mucaki, E. J., Zhao, J. Z. L., Lizotte, D. J., & Rogan, P. K. (2019) · Signal Transduction and Targeted Therapy

Gene expression and cancer classificationComputational Drug Discovery Methods

Cited by 200

Artificial intelligence and primary care research: a scoping review

Kueper, J. K., Terry, A. L., Zwarenstein, M., & Lizotte, D. J. (2020) · The Annals of Family Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 143

Exploring the ethical issues in research using digital data collection strategies with minors: A scoping review

Facca, D., Smith, M. J., Shelley, J., Lizotte, D., & Donelle, L. (2020) · PLOS ONE

Ethics in Clinical ResearchChildren's Rights and Participation

Cited by 65

Explainable AI for Clinical Decision Support Systems: Literature Review, Key Gaps, and Research Synthesis

Salimparsa, M., Sedig, K., Lizotte, D. J., Abdullah, S. S., Chalabianloo, N., & Muanda, F. T. (2025) · Informatics

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 39

Comment

Almirall, D., Lizotte, D. J., & Murphy, S. A. (2012) · Journal of the American Statistical Association

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 19