Immunotherapy at the end of life. This is an ASCO Meeting Abstract from the 2024 ASCO Quality Care Symposium. This abstract does not include a full text component.
Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.
Keysight Technologies has introduced a new Machine Learning Toolkit as part of its latest Device Modelling Software Suite, aiming to reduce the time required for semiconductor device modelling and ...
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 ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
ACE developed a data gathering and analysis proof of concept for more accurate air drops that lays the groundwork for predictive modelling. Impact: A ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results