This paper aims to reflect on the extent to which the Design science Research Method (DSRM) is aligned with orchestrating the development of cancer care data analytics research projects using a data strategy-enabled u...
This paper aims to reflect on the extent to which the Design science Research Method (DSRM) is aligned with orchestrating the development of cancer care data analytics research projects using a data strategy-enabled use-case-driven approach. A fit-for-purpose DSRM research framework has been designed to guide the research design and project-manage the iCanViz research project. The iCanViz project is an intelligent cancer data analytics visualizer aligned to multiple cancer sites, cancer incidences, risk correlations, survivals, and deaths in the Arab world within certain years of reported cancer incidences per cancer site. The DSRM approach has been deemed closely aligned with the iCanViz research project. This is primarily due to its ability to articulate and incorporate cancer care data strategy use-cases as agile software development increments within the iCanViz DSRM research framework. Also, the adaptation of the iCanViz DSRM research framework has contributed to enhancing the even distribution and concurrent execution of cancer care data analytics tasks across the software development and research team. Furthermore, the iCanViz DSRM research design has proven effective in designing research frameworks that bridge the gap between the world of cancer care and the creation of cancer care data analytics systems. With a small research team, the iCanViz project achieved this within a relatively short time frame of less than a year.
Fairness is a critical aspect of Artificial Intelligence (AI) techniques. The ability of multimodal AI systems for scene understanding and visual reasoning to make unbiased decisions is crucial for their acceptance an...
详细信息
It is very essential to ensure the security of users data and in this fast evolving modern technology it is, very difficult to maintain the data security as the hackers are well skilled in using new technologies as ad...
详细信息
Supply chain management is a critical aspect of modern business operations. The retail manufacturers are grappling to predict customer demand, inventory, transportation, and production cost with ability to replicate r...
详细信息
The empirical loss, commonly referred to as the average loss, is extensively utilized for training machine learning models. However, in order to address the diverse performance requirements of machine learning models,...
详细信息
data-driven models learned often struggle to generalize due to widespread subpopulation shifts, especially the presence of both spurious correlations and group imbalance (SC-GI). To learn models more powerful for defe...
The sequential behavior history is an important data in the field of consumer electronics, A common way is to model all browser history as a graph, thus, each sequence of user behavior can be view as a walk on the cer...
详细信息
One of the largest health issues facing women worldwide is breast cancer, with a growing need for early and accurate diagnosis to improve the patient outcome. Traditional approaches like mammography and biopsy often c...
详细信息
data annotation is an important milestone in a variety of domains where Machine Learning (ML) approaches are applied. Although automated and semi-automated methods for data labeling exist, in certain scenarios manual ...
详细信息
暂无评论