Stroke to Dementia Associated with Environmental Risks—A Semi-Markov Model
Bibliographic Data
| ID | 15499586 |
|---|---|
| Authors | Kung‐Jeng Wang (0000-0002-5404-5023, National Taiwan University of Science and Technology), Kung-Jeng Wang (National Taiwan University of Science and Technology), Chia-Min Lee (National Taiwan University of Science and Technology), Chia‐Min Lee (National Taiwan University of Science and Technology), Gwo-Chi Hu (Department of Rehabilitation Medicine, Mackay Memorial Hospital, Number 92, Section 2, Zhongshan North Road, Zhongshan District, Taipei City 10449, Taiwan), Gwo‐Chi Hu (Mackay Memorial Hospital), Kung-Min Wang (National Taiwan University of Science and Technology) |
| Year | 2020 |
| Volume | 17 |
| Issue | 6 |
| Pages | 1944-1944 |
| Publication date | 2020-03-16 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17061944 |
| PMID | 32188138 |
| OpenAlex | W3012049325 |
| Language | EN |
| Citations received | 2 |
| References cited | 36 |
Experiments showed that the proposed semi-Markovian model outperformed other benchmark diagnosis algorithms (i.e., linear regression, decision tree, random forest, and support vector machine), with a high R 2 of 90%. The proposed model also facilitated an accurate prognosis on the transition time of stroke from chronic diseases to dementias against environmental risks and rehabilitation factors
Dementia · Disease · Ischemic stroke · Markov chain · Psychiatry · Statistics · Stroke (engine · Stroke risk · Acute Ischemic Stroke Management · Dementia and Cognitive Impairment Research · Engineering · Mathematics · Medicine · Stroke Rehabilitation and Recovery · Internal Medicine
| Citations per year | 0.33 |
|---|---|
| Citation span | 2020 - 2022 (3) |
| Highly cited | No |