Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method
Ganjar Alfian, Muhammad Syafrudin, Imam Fahrurrozi, Norma Latif Fitriyani, Fransiskus Tatas Dwi Atmaji, Tri Wahyu Widodo, Nurul Bahiyah, Filip Beneš, Jongtae Rhee
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.3390/computers11090136 ↗
- Volume · Issue · Pages
- 11 · 9 · 136-136
- Publisher
- MDPI AG
- Article URL
- https://doi.org/10.3390/computers11090136 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
12 Sep 2022
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 12 Sep 2022 | OpenAlex |
Keywords (as given): breast cancer prediction; breast cancer risk factors; support vector machine; extra trees; feature selection; early diagnosis; web-based prediction tool; diagnostic decision support
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 2022–23.
- Journal
- Computers
- Publication date used
- 12 Sep 2022 (OpenAlex publication date)
- Applicable HEC period
- 2022–23 (version 2) · 01 Jul 2022 – 30 Jun 2023
- Category
- X
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- hjrs-2022-23 row 15852
- Verification status
- Verified against source · last verified 16 Oct 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.