Intraocular Pressure Drop Prediction After Surgery for 241 Eyes

241 eye surgery cases form the basis for a multiple linear regression model predicting absolute IOP reduction at 3 months. The analysis, authored by Jean-Marc Perone, stratifies eyes by preoperative IOP into subgroups of 20–29, 15–19, or 10–14 mmHg. This 9.5 KB Excel file was last updated on May 19, 2026.

Use Cases

• Train regression models to predict IOP drop based on pre/perioperative variables mentioned in the description
• Analyze the differential predictive power of variables across preoperative IOP subgroups (20–29, 15–19, 10–14 mmHg)
• Benchmark new predictive algorithms against the established multiple linear regression analysis provided

Strengths

• Dataset is focused on a specific clinical prediction task with a defined sample size of 241 eyes.
• Analysis is stratified by three clinically relevant preoperative IOP ranges, allowing for subgroup-specific insights.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for some modeling tasks.
• The 9.5 KB file size indicates a very limited scope of data.

Provenance

Source

figshare, author Jean-Marc Perone

Collection Method

Likely contains clinical study data analyzed via multiple linear regression.

Freshness

Last updated 2026-05-19 17:25:31; freshness should be verified.