AIMC Topic: Research Design
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Interpretation and reporting of predictive or diagnostic machine-learning research in Trauma & Orthopaedics.
The bone & joint journal
Dec 1, 2021
There is increasing popularity in the use of artificial intelligence and machine-learning techniques to provide diagnostic and prognostic models for various aspects of Trauma & Orthopaedic surgery. However, correct interpretation of these models is d...
Learning to SMILES: BAN-based strategies to improve latent representation learning from molecules.
Briefings in bioinformatics
Nov 5, 2021
Computational methods have become indispensable tools to accelerate the drug discovery process and alleviate the excessive dependence on time-consuming and labor-intensive experiments. Traditional feature-engineering approaches heavily rely on expert...
A Combination of Deep Neural Networks and Physics to Solve the Inverse Problem of Burger's Equation.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
One of the most basic nonlinear Partial Differential Equations (PDEs) to model the effects of propagation and diffusion is Burger's equation. This puts great emphasize on seeking efficient versatile methods for finding a solution to the forward and i...
Federated Learning via Conditional Mutual Learning for Alzheimer's Disease Classification on T1w MRI.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nov 1, 2021
Data-driven deep learning has been considered a promising method for building powerful models for medical data, which often requires a large amount of diverse data to be sufficiently effective. However, the expensive cost of collecting and the privac...
RoBoT: a robust Bayesian hypothesis testing method for basket trials.
Biostatistics (Oxford, England)
Oct 13, 2021
A basket trial in oncology encompasses multiple "baskets" that simultaneously assess one treatment in multiple cancer types or subtypes. It is well-recognized that hierarchical modeling methods, which adaptively borrow strength across baskets, can im...
DOME: recommendations for supervised machine learning validation in biology.
Nature methods
Oct 1, 2021
Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare.
BMJ health & care informatics
Aug 1, 2021
High-quality research is essential in guiding evidence-based care, and should be reported in a way that is reproducible, transparent and where appropriate, provide sufficient detail for inclusion in future meta-analyses. Reporting guidelines for vari...
A span-graph neural model for overlapping entity relation extraction in biomedical texts.
Bioinformatics (Oxford, England)
Jul 12, 2021
MOTIVATION: Entity relation extraction is one of the fundamental tasks in biomedical text mining, which is usually solved by the models from natural language processing. Compared with traditional pipeline methods, joint methods can avoid the error pr...
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