Cervical cancer survival prediction by machine learning algorithms: a systematic review
importance 8/10
ai assisted
Artificial Intelligence in Healthcare oncology stage: research
Problem
Predicting survival time for cervical cancer patients is difficult; machine learning has been proposed to improve these predictions.
Why it matters
Cervical cancer is a leading cause of mortality in women worldwide, so accurate survival prediction can guide clinical decisions.
What the AI did
A systematic review of published studies applying machine learning algorithms to predict survival in cervical cancer patients.
Results
not stated in source
Impact
The review maps existing ML survival-prediction research but demonstrates no new result itself.
Record
| Venue | BMC Cancer |
|---|---|
| Published | 2023 |
| Work type | review |
| Authors | Milad Rahimi, Atieh Akbari, Farkhondeh Asadi, Hassan Emami |
| Citations | 57 (OpenAlex, at import time) |
| References | 48 |
| Model or method | not stated in source |
| Organization | not stated in source |
| Primary source | https://doi.org/10.1186/s12885-023-10808-3 |
| Open access | gold |
| Keywords | cervical cancer, survival prediction, machine learning, systematic review |
Importance rating
8
major — millions of lives, an industry or a field
Abstract states cervical cancer is a leading cause of mortality in women worldwide; survival prediction guides clinical decisions for this population.