Name
Abstract | ||
|---|---|---|
The main objective in this proposal is to orchestrate an ecosystem of manipulation of reliable and safe data, applied to the field of health, specifically lung cancer, by introducing the creation of digital twins for personalised healthcare about the behaviour of this disease on patients. Digital twins is a very popular and novel approach in digitisation units in industry which will be used by both kind of experts: (i) data analysts, who will design expert recommender systems and extract knowledge – explainable Artificial Intelligence (AI); and (ii) professionals in medicine, who will consume that knowledge generated with their research for better diagnosis. This knowledge generation/extraction process will work in the form of a lifelong learning system by iterative and continuous use. The produced software platform will be abstracted so it can be applied like a general purpose service tool in other domains of knowledge, specially health and industry. Furthermore, a rule extraction module will be made available for explainability issues. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/978-3-030-45385-5_37 | IWBBIO |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cecilio Angulo | 1 | 434 | 57.48 |
| Luis González Abril | 2 | 1 | 0.36 |
| Cristóbal Raya | 3 | 1 | 0.36 |
| Juan Antonio Ortega Redondo | 4 | 208 | 29.56 |