Personalized Cognitive Performance Screening With Weighted Questions
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Solution Overview
Problem
Existing methods lack an efficient and accessible way to evaluate cognitive performance, particularly for early detection of memory disorders and diseases, which can aid in maintaining normal living and delaying the onset of dementia.
Innovation Solution
A method and apparatus that assess cognitive performance through personalized psychological questions, determining question weights and indices based on user data, and generating feedback reports for risk evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional cognitive evaluation methods are used, then measurement precision may be adequate, but ease of operation and accessibility are poor
Solution Approach 1:
The patent replaces complex mechanical or clinical assessment procedures with an electronic information processing system. The cognitive evaluation is transformed into a digital questionnaire-based system that processes user inputs through computer algorithms, substituting physical assessment methods with electronic data collection and analysis, thereby improving accessibility while maintaining evaluation capability
Solution Approach 2:
The patent creates a simplified digital model of cognitive assessment that replicates the essential functions of traditional evaluation methods. By copying the core assessment logic into a software-based questionnaire system with weighted scoring algorithms, it provides an accessible interface that mirrors professional evaluation capabilities without requiring specialized equipment or personnel
2Reliability
If personalized question selection is implemented, then reliability of evaluation is improved, but device complexity increases
Solution Approach 1:
The patent dynamically changes parameters such as question selection, weight assignment, and evaluation thresholds based on user-specific characteristics like age, education level, and risk factors. This parameter adaptation allows the system to maintain high reliability across different populations by adjusting the assessment model to match individual baseline characteristics, rather than using a fixed rigid structure
Solution Approach 2:
The patent performs preliminary data collection and processing steps before the actual cognitive assessment. User information such as personal data, risk factors, and baseline characteristics are gathered and processed in advance to pre-configure the evaluation parameters. This preliminary action simplifies the main evaluation process by having the complexity resolved beforehand through automated parameter setup
Data Source
AI summary
The embodiments relate to screening solution that is used for evaluation peoples' cognitive performance. The solution is based on a method including receiving data concerning user's personal information; determining at least one group of questions based on the received data, wherein the group of questions has psychological questions relating to cognitive performance of a user; determining weights for each question in the at least one group of questions based on the personal information; providing the at least one group of questions to a user; receiving an input from the user, the input having answers to the group of questions; and determining an evaluation index based on the answers received to all questions of the at least one group for questions, the evaluation index indicating user's cognitive performance.


