Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Classification of Anomalies in Microservices Using an XGBoost-Based Approach With Data Balancing and Hyperparameter Tuning

Microservice architecture has emerged as a leading paradigm for decomposing large monolithic applications into smaller, autonomous services. Although this approach offers many advantages, its ...
Frontiers

Spatial consistency assessment and landslide susceptibility prediction optimization

1 Nanjing Changtian Surveying and Mapping Technology Co., Ltd., Nanjing, China 2 School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou, China ...
Frontiers

Explainable machine learning for early detection of Parkinson’s disease in aging populations using vocal biomarkers

1 Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan 2 School of Information Technology and Systems, University of ...
Scientific Research Publishing

Huang, M. and Pan, H. (2023) Pharmacogenomic Profiling to Tailor Antidepressant Therapy: Improving Treatment Outcomes and Reducing Adverse Drug Reactions in Major Depressive ...

ABSTRACT: Accurately predicting individual responses to antidepressant treatment is a critical step toward achieving personalized psychiatry and minimizing the ...
GitHub

Performing internal tuning on a GraphLearner

I would like to perform nested resampling with a GraphLearner that uses XGBoost as its base learner. Additionally, I aim to optimize early stopping through internal hyperparameter tuning. While this ...
Scientific Research Publishing

Vamathevan, J., Clark, D., Czodrowski, P., Dunham, I., Ferran, E., Lee, G., et al. (2019) Applications of Machine Learning in Drug Discovery and Development. Nature Reviews ...

ABSTRACT: Elderly individuals undergoing long-term neuroleptic therapy are increasingly vulnerable to cognitive decline, a condition that significantly impairs quality of life and increases healthcare ...
marktechpost

Transformers Can Now Predict Spreadsheet Cells without Fine-Tuning: Researchers Introduce TabPFN Trained on 100 Million Synthetic Datasets

Tabular data is widely utilized in various fields, including scientific research, finance, and healthcare. Traditionally, machine learning models such as gradient-boosted decision trees have been ...