Eye Condition Progression Forecasting via Linear Regression

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Solution Overview

Problem

There is a challenge in regularly monitoring and predicting the progression of eye conditions for patients, especially those who cannot frequently visit an eye practitioner due to geographical or financial constraints, leading to irregular or redundant examinations, and difficulty in determining timely treatment plans.

Innovation Solution

A computer system that accesses eye characteristic data and demographic data to formulate a predictive model using linear regression, forecasting eye condition values over time by analyzing data from multiple examinations and demographic information, thereby providing a time series chart for future eye condition predictions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If eye patients visit an eye practitioner frequently for examinations, then the accuracy of eye condition monitoring is improved, but the loss of time and increased cost for patients worsen

Engineering Contradiction:

Improveaccuracy of eye condition monitoringVSAvoidtime lost for frequent visits

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by analyzing historical eye examination data and demographic information to forecast future eye conditions before they actually progress. This allows practitioners to predict when examinations will be necessary, eliminating the need for frequent routine visits while maintaining monitoring accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The forecasting system enables a form of self-service by automatically analyzing patient data and generating predictions without requiring continuous practitioner involvement. The system serves itself by processing historical data and producing forecasts that guide future examination scheduling.

Inventive Principle:

Principle #25Self-service

2Reliability

If eye patients visit an eye practitioner frequently for examinations, then the reliability of eye health assessment is improved, but the financial cost for patients worsens

Engineering Contradiction:

Improvereliability of eye health assessmentVSAvoidfinancial cost for patients

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The system performs preliminary analysis of multiple historical examination records and demographic data to forecast future eye conditions. This preliminary action provides reliable assessments in advance, allowing patients to avoid unnecessary frequent visits and associated financial costs while maintaining confidence in the reliability of the assessments.

Inventive Principle:

Principle #10Preliminary action

3Loss of information

If eye practitioners conduct examinations at regular intervals, then the completeness of eye condition data is improved, but the loss of time for both patients and practitioners worsens

Engineering Contradiction:

Improvecompleteness of eye condition dataVSAvoidtime for practitioners and patients

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system uses feedback from historical examination data and demographic information to continuously improve forecasting accuracy. By analyzing patterns from multiple past examinations, the system generates reliable predictions that indicate when future examinations will be necessary, ensuring data completeness while minimizing time loss.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The forecasting system performs preliminary analysis of incomplete historical data patterns to predict future eye conditions. This allows the system to determine the optimal timing for subsequent examinations, ensuring that data completeness is maintained while reducing the frequency of unnecessary visits.

Inventive Principle:

Principle #10Preliminary action

4Adaptability or versatility

If eye patients with limited historical data receive forecasting, then the adaptability of the system to different patient scenarios is improved, but the measurement precision of the forecast worsens

Engineering Contradiction:

Improveadaptability to different patient scenariosVSAvoidprecision of forecast

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The forecasting system is designed with universality to handle multiple patient scenarios, including those with limited historical data. By incorporating demographic information and available examination records regardless of quantity, the system adapts to different patient situations while maintaining reasonable forecast precision through the use of linear regression models that can work with varying data completeness.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS10667680B2Forecasting eye condition progression for eye patients

Publication Date: 2020.06.02 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

Aspects extend to methods, systems, and computer program products for forecasting eye condition progression for eye patients. When a patient visits an eye practitioner, the patient (or when appropriate their guardian) may be interested in the current eye condition as well as a prediction of eye condition progression in the future and/or as the patient ages. Aspects of the invention can be used to predict the progress of an eye condition for a patient (e.g., a child) at a number of different post-examination times after an examination. Predicting the progress of an eye condition for a patient over time can be used to assist the eye practitioner in tailoring a treatment plan and/or tailoring a subsequent examination schedule for the patient.