Artificial Intelligence XXXVIII
Springer International Publishing
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X Demographics
Mendeley readers
| Chapter title |
Addressing the Challenge of Data Heterogeneity Using a Homogeneous Feature Vector Representation: A Study Using Time Series and Cardiovascular Disease Classification
|
|---|---|
| Book title |
Artificial Intelligence XXXVIII
|
| Published by |
Springer, Cham, December 2021
|
| DOI | 10.1007/978-3-030-91100-3_21 |
| Book ISBNs |
978-3-03-091099-0, 978-3-03-091100-3
|
| Authors |
Aldosari, Hanadi, Coenen, Frans, Lip, Gregory Y. H., Zheng, Yalin |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 100% |