Frontiers

An Interpretable Machine Learning Method for the Detection of Schizophrenia Using EEG Signals

In this work we propose a machine learning (ML) method to aid in the diagnosis of schizophrenia using electroencephalograms (EEGs) as input data. The computational algorithm not only yields a proposal ...
Frontiers

Relapse or Re-Infection, the Situation of Recurrent Tuberculosis in Eastern China

Recurrent tuberculosis (TB) is defined by more than one TB episode per patient and is caused by re-infection with a new Mycobacterium tuberculosis (Mtb) strain or relapse with the previous strain.
Nature

A machine learning-based predictor for the identification of the recurrence of patients with gastric cancer after operation

The global incidence of gastric cancer is the fourth in malignant tumors and the second in mortality. There are nearly 1 million cases of new gastric cancer worldwide each year, of which nearly 50.0% ...
Nature

Global Similarity Method Based on a Two-tier Random Walk for the Prediction of microRNA–Disease Association

microRNAs (miRNAs) mutation and maladjustment are related to the occurrence and development of human diseases. Studies on disease-associated miRNA have contributed to disease diagnosis and treatment.