Albertsen, et al, for example, found each of the three comorbidity indices had similar power to predict survival (p < 0.001 for each), with the addition of any of the three indices to Gleason score improving predictive power for survival over Gleason score alone [ 16].
For improved predictive power, STAT-Scanner was therefore designed to use combined PWMs of binding specificity similar to STAT3.
In this review, we describe the basic concepts and algorithms behind machine learning-based genetic feature selection approaches, their potential benefits and limitations in genome-wide setting, and how physical or genetic interaction networks could be used as a priori information for providing improved predictive power and mechanistic insights into the disease networks.
First, the logistic regression procedure showed that including the CAD system likelihood in addition to the radiologist PIRADS score resulted in a model with significantly improved predictive power (p < 0.001, likelihood ratio test) for both evaluation settings (benign vs. cancer and indolent vs. aggressive).
For CNR1 specifically, analyses based on GxE have improved predictive power in the context of neuropsychiatric endpoints [55].
However, in-spell Charlson and frailty syndrome models described slightly improved predictive power over historical models (tables 4 and 5).
However, Yiannakoulia and Svenson [ 10] found that inclusion of data on corvids did not improve predictive powers of their models for WNV spread in Alberta, Canada.
