A deep learning approach for blood glucose monitoring and hypoglycemia prediction in glycogen storage disease
Traditionally, patients with GSD have had to be hospitalized or rely on fingerprick tests at home to monitor and manage...
disease
A quantum inspired machine learning approach for multimodal Parkinson’s disease screening
Data descriptionWe utilized the mPower public research portal, which contains measurements from over 6,000 participants—both healthy and those affected by...
Integrating machine learning with statistical methods enhances disease risk prediction models
Scientists from Peking University conducted a systematic review of studies on integrating machine learning into statistical methods in disease prediction...
A proposed technique for predicting heart disease using machine learning algorithms and an explainable AI method
Figure 1 shows the proposed system’s sequences for predicting heart diseases. We first gathered and preprocessed the dataset to remove any...
Machine learning algorithm shows 98% disease detection accuracy
A groundbreaking machine learning algorithm has demonstrated an impressive 98% accuracy in diagnosing various diseases by analysing the colour of...
PND-Net: plant nutrition deficiency and disease classification using graph convolutional network
Jung, M. et al. Construction of deep learning-based disease detection model in plants. Sci. Rep. 13, 7331 (2023).Article ADS CAS ...
