Predicting emergence of crystals from amorphous precursors with deep learning potentials
De Yoreo, J. J. Casting a bright light on Ostwald’s rule of stages. Proc. Natl Acad. Sci. USA 119, e2121661119...
predicting
Predicting the time to get back to work using statistical models and machine learning approaches | BMC Medical Research Methodology
ParticipantsThe Inspiring Families programme ( was a partnership between the Department of Work and Pensions and Serco International PLC. It...
Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models | BMC Psychiatry
O’Connor E, Gaynes B, Burda BU, Williams C, Whitlock EP. Screening for suicide risk in primary care: A systematic evidence...
Machine learning-based model for predicting the occurrence and mortality of nonpulmonary sepsis-associated ARDS
ARDS has consistently been a research hotspot in critical care medicine. The understanding of the pathogenesis of ARDS has deepened...
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...
Predicting Sustainable Development Goals (SDG) Scores by 2030: A Machine Learning Approach with ARIMAX and Linear Regression Models
Forecasting Sustainable Development Goals (SDG) Scores by 2030: The Sustainable Development Goals (SDGs) set by the United Nations aim to...
