Amplifying Domain Expertise in Clinical Data Pipelines

Journals

1. Kerrigan D, Hullman J, Bertini E. A Survey of Domain Knowledge Elicitation in Applied Machine Learning. Multimodal Technologies and Interaction 2021;5(12):73 View
2. Oei R, Hsu W, Lee M, Tan N. Using similar patients to predict complication in patients with diabetes, hypertension, and lipid disorder: a domain knowledge-infused convolutional neural network approach. Journal of the American Medical Informatics Association 2023;30(2):273 View
3. Van Laere S, Muylle K, Dupont A, Cornu P. Machine Learning Techniques Outperform Conventional Statistical Methods in the Prediction of High Risk QTc Prolongation Related to a Drug-Drug Interaction. Journal of Medical Systems 2022;46(12) View
4. Pillai M, Griffin A, Kronk C, McCall T. Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities. Journal of Medical Internet Research 2023;25:e48498 View
5. Rahman P, Ye C, Mittendorf K, Lenoue-Newton M, Micheel C, Wolber J, Osterman T, Fabbri D. Accelerated curation of checkpoint inhibitor-induced colitis cases from electronic health records. JAMIA Open 2023;6(1) View

Books/Policy Documents

1. Janzen S, Stein H. Advances in Conceptual Modeling. View