Any supervised machine learning algorithm could work. For demonstration purposes, we have chosen a random forest with 100 trees, all trained up to a depth of ten levels and with a maximum of three ...
AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational modeling, genomics and drug development. The authors highlight how ...
The predominance of negative sentiment aligns with early public reactions to transformative technologies, where concerns about privacy, job loss, misinformation and ethical boundaries often amplify ...
Objectives:Government public health expenditure data sets require time- and labor-intensive manipulation to summarize results that public health policy makers can use. Our objective was to compare the ...
While it may be the era of supercomputers and 'big data,' without smart methods to mine all that data, it's only so much digital detritus. Now researchers have come up with a novel machine learning ...
Prediction of treatment (tx)-induced fatigue in breast cancer (BC) patients (pts) using machine learning on genome-wide association (GWAS) data in the prospective CANTO cohort. This is an ASCO Meeting ...
Our study used the linked SEER-Medicare data. The patient samples included fee-for-service Medicare beneficiaries diagnosed with lung cancer from 2010 to 2011 (development cohort) and 2012 to 2013 ...
Random Forests Co-Developer Dr. Adele Cutler visited Salford Systems in San Diego, CA. While she was visiting, she gave the staff a few quick presentations and interviews related to the popular Random ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback