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Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping.

, , , , and . MIE, volume 281 of Studies in Health Technology and Informatics, page 148-152. IOS Press, (2021)

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DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation., , , , , , and . CoRR, (2022)Deep learning for rare disease: A scoping review., , , , , , , and . J. Biomed. Informatics, (2022)Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping., , , , and . MIE, volume 281 of Studies in Health Technology and Informatics, page 148-152. IOS Press, (2021)RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment., , , , , , and . CoRR, (2021)Ontology-based categorization of clinical studies by their conditions., , , , , and . J. Biomed. Informatics, (2022)DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation., , , , , , and . ICLR, OpenReview.net, (2023)Combining human and machine intelligence for clinical trial eligibility querying., , , , , , , , and . J. Am. Medical Informatics Assoc., 29 (7): 1161-1171 (2022)Representation and Normalization of Complex Interventions for Evidence Computing., , , , , , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 592-596. IOS Press, (2021)Data-Driven Modeling of Randomized Controlled Trial Outcomes., , , and . MIE, volume 294 of Studies in Health Technology and Informatics, page 392-396. IOS Press, (2022)Criteria2Query 2.0: Combining Machine Efficiency and Human Intelligence to Define a More Accurate and Feasible Cohort for Clinical Trial Recruitment., , , , , , and . AMIA, AMIA, (2022)