Name
Abstract | ||
|---|---|---|
Assistive technology can enhance the level of independence of people with dementia thereby increasing the possibility of remaining in their own homes. It is important that suitable technologies are selected for people with dementia, due to their reluctant to change. In our work, a predictive model has been developed for technology adoption of a Mobile Phone‐based Video Streaming solution developed for people with dementia, taking account of individual characteristics. Relevant features for technology adoption were identified and highlighted. A decision tree was then trained based on these features using Quinlan's C4.5 algorithm. For the evaluation, repeated cross-validation was performed. Results are promising and comparable with those achieved using a logistic regression model. Statistical tests show no significant difference between the performance of a decision tree model and a logistic regression model (p=0.894). Also, the decision tree demonstrates graphically the decision making process with transparency, which is a desirable feature within healthcare based applications. In addition, the decision tree provides ease of use and interpretation and hence is easier for healthcare professionals to understand and to use both appropriately and confidently. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-37899-7_14 | HIS |
Keywords | Field | DocType |
technology adoption,predictive model,decision tree model,suitable technology,assistive technology,decision tree,assistive technology adoption,mobile phone,healthcare professional,statistical test,logistic regression model | Transparency (graphic),Decision tree,Computer science,Usability,Decision tree model,Knowledge management,Artificial intelligence,Mobile phone,Logistic regression,Statistical hypothesis testing,Machine learning,Decision-making | Conference |
Citations | PageRank | References |
1 | 0.35 | 9 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuai Zhang | 1 | 12 | 0.92 |
| Sally Mcclean | 2 | 1029 | 132.29 |
| Chris Nugent | 3 | 63 | 9.61 |
| Sonja O'Neill | 4 | 10 | 1.71 |
| Mark P. Donnelly | 5 | 140 | 18.83 |
| Leo Galway | 6 | 103 | 16.86 |
| Bryan W. Scotney | 7 | 670 | 82.50 |
| Ian Cleland | 8 | 98 | 23.12 |