Strategies to facilitate shared decision‐making in long‐term care

Ensemble strategies to build neural network to facilitate decision making

There are three major strategies to form neural network ensembles. The simplest one is the Cross Validation strategy in which all members are trained with the same training data. Bagging and boosting strategies pro-duce perturbed sample from training data. This paper provides an ideal model based on two important factors: activation function and number of neurons in the hidden layer and based u...

Barriers and facilitators to implementing Decision Boxes in primary healthcare teams to facilitate shared decisionmaking: a study protocol

BACKGROUND Decision Boxes are summaries of the most important benefits and harms of health interventions provided to clinicians before they meet the patient, to prepare them to help patients make informed and value-based decisions. Our objective is to explore the barriers and facilitators to using Decision Boxes in clinical practice, more precisely factors stemming from (1) the Decision Boxes t...

Power to the patient. Shared decisionmaking improves care and reduces costs.

Leveraging Shared Context to Facilitate Opportunistic Communication

Current online communication systems have neglected an important property of natural conversations; that is, many conversations are opportunistic and arise from awareness of a shared context. As a result, users of current online chat systems, for example, have to explicitly log in to predefined chat rooms with a strong goal in mind. Chatting is construed as a separate activity, and as such is s...

ensemble strategies to build neural network to facilitate decision making

there are three major strategies to form neural network ensembles. the simplest one is the cross validation strategy in which all members are trained with the same training data. bagging and boosting strategies pro-duce perturbed sample from training data. this paper provides an ideal model based on two important factors: activation function and number of neurons in the hidden layer and based u...