 MLHO 's architecture enables a parallel and outcome-oriented  calibration, in which different statistical learning algorithms and vectors of features are simultaneously tested and leveraged to improve prediction of health outcomes.
<coherence>  MLHO 's architecture enables a parallel and outcome-oriented  calibration, in which different statistical learning algorithms and vectors of features are simultaneously tested and leveraged to improve prediction of health outcomes.
 MLHO 's architecture enables a parallel and outcome-oriented calibration, in which different statistical learning algorithms and vectors of features are simultaneously tested to improve the prediction of health outcomes.