Humanizing Quant and Scaling Qual to Drive Decision-Making

Dynamic scaling regimes of collective decision making

We investigate a social system of agents faced with a binary choice. We assume there is a correct, or beneficial, outcome of this choice. Furthermore, we assume agents are influenced by others in making their decision, and that the agents can obtain information that may guide them towards making a correct decision. The dynamic model we propose is of nonequilibrium type, converging to a final de...

019 Pp: Reproduction of the Sociotechnical Gap in Mixed Quant/qual Health Research Collaborations

In this paper, we report a reflexive case study of collaborative health research. The project we discuss (and are involved in) seeks to understand, evaluate, and eventually identify probabilities for the automation of work tasks in general practice medical services. This project is in two phases. The first is primarily qualitative, and is designed to gather data from observations, interviews, d...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

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...

Clinical Decision-Making: a Way to Professional Empowerment in Nursing

Background. The dynamic and uncertain nature of health care environment requires nurses to be competent decision makers and to respond to the clients needs. Recently, the public and the government have criticized Iranian nurses because of a low quality patient care. However, the nurses’ views and experiences concern- ing the factors affecting their clinical practice and clinical decision making...