BMC Medical Informatics and Decision Making

Developing a multiomics data-based mathematical model to predict colorectal cancer recurrence and metastasis.

Monitoring patient pathways at a secondary healthcare services through process mining via Fuzzy Miner.

A dynamic prediction model for predicting the time at which patients with MCI progress to AD based on time-dependent covariates.

Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach.

Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning.

可视化非传染性疾病中的疲劳机制：多组学和机器学习的综合方法

Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks.

Predicting high blood pressure using machine learning models in low- and middle-income countries.

Impact of clinical decision support on controlled substance prescribing.

Predictive algorithm for the regional spread of coronavirus infection across the Russian Federation.

MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model.