Comparison of intracranial pressure prediction in hydrocephalus patients among linear, non-linear, and machine learning regression models in Thailand
Avika Trakulpanitkit, Thara Tunthanathip
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.4266/acc.2023.00094 ↗
- Volume · Issue · Pages
- 38 · 3 · 362-370
- Publisher
- Korean Society of Critical Care Medicine
- Article URL
- https://doi.org/10.4266/acc.2023.00094 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
21 Aug 2023
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 21 Aug 2023 | OpenAlex |
Keywords (as given): hydrocephalus; ventriculostomy; optic nerve sheath diameter; ventricular index; random forest; XGBoost; machine learning regression; linear regression; nonlinear regression; non-invasive prediction
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
X
Based on the recorded HEC dataset applicable to the article's publication date. Listed as X in the HEC list for 2023–24.
- Journal
- Acute and Critical Care
- Publication date used
- 21 Aug 2023 (OpenAlex publication date)
- Applicable HEC period
- 2023–24 (version 1) · 01 Jul 2023 – 30 Sep 2024
- Category
- X
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- HJRS 2023-24 page 1980, row 13995
- Verification status
- Verified against source · last verified 23 Sep 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.