AN AUTOMATED SYSTEM FOR IOL POWER PREDICTION
DOI:
https://doi.org/10.61841/b996ft35Keywords:
Intraocular lens(IOL), automatic prediction system, RMSE valuesAbstract
hen planning for cataract surgery ,to achieve the desired postoperative refraction, the required power of the Intraocular lens(IOL) implant needs to be calculated. Power depends on many factors which are taken from the eye that includes refractive power, media type, actual length and model of lens used. Data Sets are collected using IOL Master 500 which is the most commonly used device in the Hospitals. It has some of the IoL power calculation equations like SRK II, SRK T, Hoffer Q and Holladay. The output power is manually calculated by the doctor. This manual selection can be made easier by an automatic prediction system. To predict this value different machine learning techniques are used. The collected data sets are trained under different machine learning models to obtain best one. From the predictions we find Regression as best model and further analysis is performed by considering RMSE values, P values etc and the power is predicted
Downloads
References
1. https://www.touchophthalmology.com/iolmaster-500-and-integration-of-the-holladay-2-formula-for- intraocular-lens-calculations/
2. https://medium.com/sifium/machine-learning-types-of-classification-9497bd4f2e14
3. https://medium.com/@powersteh/an-introduction-to-applied-machine-learning-with-multiple-linear- regression-and-python-925c1d97a02b
4. https://crstodayeurope.com/articles/2012-may/srkt-formula-a-review/
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
