03 December 2024 : Clinical Research
Machine Learning Models for Predicting 24-Hour Intraocular Pressure Changes: A Comparative Study
Chen Ranran ACDEG 1,2, Lei Jinming ACD 3, Liao Yujie BC 1,2, Jin Yiping BC 1,2, Wang Xue CD 4, Li Hong BD 1, Bi Yanlong ACF 5*, Zhu Haohao ABFG 1,2DOI: 10.12659/MSM.945483
Med Sci Monit 2024; 30:e945483
Figure 8 SHAP value analysis for 24-hour IOP fluctuation prediction models. IOP – intraocular pressure; IOP12pm – intraocular pressure at 12: 00 PM; MAP10am – mean arterial pressure at 10: 00AM; IOP10am – intraocular pressure at 10: 00 AM; CCT – central corneal thickness; RE – refractive error; MOPP10am – mean ocular perfusion pressure at 10: 00 AM; IOP4pm – intraocular pressure at 4: 00 PM; IOP2pm – intraocular pressure at 2: 00 PM; DBP10am – diastolic blood pressure at 10: 00 AM.