Torgyn Shaikhina
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View article: Machine learning with limited information : risk stratification and predictive modelling for clinical applications.
Machine learning with limited information : risk stratification and predictive modelling for clinical applications. Open
The high cost, complexity and multimodality of clinical data collection restrain the datasets available for predictive modelling using machine learning (ML), thus necessitating new data-efficient approaches specifically for limited dataset…
View article: Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation
Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation Open
Clinical datasets are commonly limited in size, thus restraining applications of Machine Learning (ML)techniques for predictive modelling in clinical research and organ transplantation. We explored thepotential of Decision Tree (DT) and Ra…
View article: Handling limited datasets with neural networks in medical applications: A small-data approach
Handling limited datasets with neural networks in medical applications: A small-data approach Open
The significance of this work is two-fold: the practical application allows for non-destructive prediction of bone fracture risk, while the novel methodology extends beyond the task considered in this study and provides a general framework…