The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao +5 more
wiley +1 more source
Predicting diagnostic gene biomarkers associated with immune infiltration in patients with diabetes. [PDF]
Feng J +5 more
europepmc +1 more source
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source
Interpretable Machine Learning Model for Fungal Infection Prediction: A Real-World Study. [PDF]
Yang J +5 more
europepmc +1 more source
Machine learning-based prediction of shigellosis in children under five: development and internal validation of a prediction model. [PDF]
Al Fidah MF +4 more
europepmc +1 more source
Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning. [PDF]
Gong Y, Liu A, Zhuo L, Xu X, Liu H.
europepmc +1 more source
Efficient abnormal behavior detection in information-centric internet of things using SVM. [PDF]
Derakhshanfard N +5 more
europepmc +1 more source
Comparison of multivariable logistic regression and machine learning models for predicting pharyngocutaneous fistula after surgery for laryngeal and hypopharyngeal carcinoma. [PDF]
Ji X, Zhao H.
europepmc +1 more source

