Can machine learning models improve the prediction of surgical site infection in abdominal surgery than traditional statistical models?

- Piebpien, Pongsathorn, Tansawet, Amarit, Pattanaprateep, Oraluck, Pattanateepapon, Anuchate, Wilasrusmee, Chumpon, Mckay, Gareth J., Attia, John, Thakkinstian, Ammarin

FedDICE: A Ransomware Spread Detection in a Distributed Integrated Clinical Environment Using Federated Learning and SDN Based Mitigation

- Thapa, Chandra, Karmakar, Kallol Krishna, Celdran, Alberto Huertas, Camtepe, Seyit, Varadharajan, Vijay, Nepal, Surya

Using Machine Learning to Predict the Sentiment of Online Reviews: A New Framework for Comparative Analysis

- Budhi, Gregorius Satia, Chiong, Raymond, Pranata, Ilung, Hu, Zhongyi

Landslide susceptibility prediction modeling based on remote sensing and a novel deep learning algorithm of a cascade-parallel recurrent neural network

- Zhu, Li, Huang, Lianghao, Fan, Linyu, Huang, Jinsong, Huang, Faming, Chen, Jiawu, Zhang, Zihe, Wang, Yuhao

Assessing Poisson and logistic regression models using smooth tests

- Rippon, Paul, Rayner, J. C. W.

Identification of novel diagnostic biomarkers for asthma and chronic obstructive pulmonary disease

- Verrills, Nicole M., Irwin, Jennifer A., He, Xiao Yan, Wood, Lisa G., Powell, Heather, Simpson, Jodie L., McDonald, Vanessa M., Sim, Alistair, Gibson, Peter G.

Quetiapine overdose: predicting intubation, duration of ventilation, cardiac monitoring and the effect of activated charcoal

- Isbister, Geoffrey K., Duffull, Stephen B

A predictive model of chronic time pressure in the Australian population: implications for leisure research

- Gunthorpe, Wendy, Lyons, Kevin