A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.
Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
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