Machine learning-based classification techniques provide support for the decision making process in the field of healthcare, especially in disease diagnosis, prognosis and screening. Healthcare datasets are voluminous in nature and their high dimensionality problem comprises in terms of slower learning rate and higher computational cost. Feature selection is expected to deal with the high dimen...

As the paradigm in healthcare nowadays is the evidence-based, patient-centered decision making, the issue of shared decision making (SDM) is highlighted. The aims of this manuscript were to look at the relevant concepts and suggest the facilitating strategies for overcoming barriers of conducting SDM. While the definitions of SDM were discordant, several concepts such as good communication, ind...

Purpose: Healthcare costs have increased considerably over the past decades around the world. Major contributors to this trend are expensive medical technologies. In this research, we used a case study approach to understand how organizational and country level factors influence hospital investment behavior. Design and methodology: We developed a conceptual framework based upon decision theory ...

The literature on healthcare management and innovation has long noted that shared decision-making (SDM), a practice of organizing joint decisions between professionals patients, should improve outcomes by increasing patient engagement autonomy, thus fostering patient-centeredness equality. While SDM projects are increasingly implemented across Europe worldwide, the diffusion remains partial. ex...