Filtered By:
Source: Internal and Emergency Medicine
Education: Learning
Management: Government
This page shows you your search results in order of relevance.
Order by Relevance | Date
Total 2 results found since Jan 2013.
Cardiovascular disease (CVD) outcomes and associated risk factors in a medicare population without prior CVD history: an analysis using statistical and machine learning algorithms
AbstractThere is limited information on predicting incident cardiovascular outcomes among high- to very high-risk populations such as the elderly ( ≥ 65 years) in the absence of prior cardiovascular disease and the presence of non-cardiovascular multi-morbidity. We hypothesized that statistical/machine learning modeling can improve risk prediction, thus helping inform care management strategies. We defined a population from the Medicare he alth plan, a US government-funded program mostly for the elderly and varied levels of non-cardiovascular multi-morbidity. Participants were screened for cardiovascular disease (CVD)...
Source: Internal and Emergency Medicine - June 9, 2023 Category: Emergency Medicine Source Type: research
