This paper is a contribution to develop a structural model of various enablers, fundamental to incorporate machine learning in health care. A variety of ten ...

Mar 18, 2021 · This paper is a contribution to develop a structural model of various enablers, fundamental to incorporate machine learning in health care.

Interpretive Structural Modeling (ISM) is defined as “a process that transforms unclear and poorly articulated mental models of systems into visible, well- ...

Modeling Drivers of Machine Learning in Health care Using Interpretive Structural Modeling Approach. https://doi.org/10.1007/978-981-15-9829-6_35.

These techniques encourage deeper insights which lead to proactive treatment, minimal future risks, and smooth working processes. This paper is a contribution ...

Jan 25, 2022 · This study proposes two conceptual frameworks showing hierarchical relationships among the various drivers and barriers to AI adoption in organizational ...

Total interpretive structural modeling (TISM) is developed to understand the complex and hierarchical associations among the drivers and barriers. This is the ...

Mar 2, 2024 · This method paper aims to identify the enablers for adopting ML in supporting clinical decision-making and propose a strategic road map toward ...

Modeling drivers of machine learning in health care using interpretive structural modeling approach. In Modeling, simulation and optimization: Proceedings ...