Curvature-based feature selection with application in classifying electronic health records
Bibliographic Data
| ID | 21401409 |
|---|---|
| Authors | Zheming Zuo (0000-0003-1576-0865, Durham University), Jie Li (0000-0002-5131-4769, Teesside University), Xu Han (0000-0003-4414-8341, University of Chinese Academy of Sciences), Han Xu (0000-0001-6857-2353), Noura Al Moubayed (0000-0001-8942-355X, Durham University) |
| Year | 2021 |
| Volume | 173 |
| Pages | 121127 |
| Publication date | 2021-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2021.121127 |
| OpenAlex | W3120740314 |
| Language | EN |
| Citations received | 2 |
| References cited | 43 |
Benchmark (surveying) · Data mining · Data pre-processing · Dimensionality reduction · Feature (linguistics) · Feature selection · Health care · Machine learning · Outlier · Preprocessor · Ranking (information retrieval) · Artificial Intelligence · Artificial Intelligence in Healthcare · Computer Science · Machine Learning in Healthcare · Traditional Chinese Medicine Studies
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |