Mechanistic Model Search Engine for Parameter Extraction
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Solution Overview
Problem
Selecting and determining values and distributions of parameters for mechanistic mathematical models is a time-consuming and biased process, relying on historic information and expert advice, which introduces uncertainty and personal bias.
Innovation Solution
A mechanistic model search engine that automates the process of identifying parameter values and distributions by analyzing literature sources, including text, tables, and graphs, using a search interface, context analysis system, parameter processing system, and search algorithm to compare input parameters against available information sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual searching and expert advice are used to determine parameter values and distributions, then trustworthiness and accuracy may be maintained through human judgment, but the process becomes time-consuming and introduces personal bias
Solution Approach 1:
The patent replaces the manual mechanical process of expert review and literature searching with an automated computational system. The search engine uses algorithms to automatically crawl literature sources, extract parameter information, and validate data against mechanistic models, eliminating the need for manual expert analysis while maintaining reliability through systematic automated verification
Solution Approach 2:
The system enables self-service by allowing the search engine to autonomously perform literature searching, parameter extraction, and validation without requiring expert intervention. The automated system serves itself by crawling sources, processing information, and generating parameter recommendations independently, significantly reducing the time investment required
2Productivity
If expert advice and historic information are used to determine parameter values, then personal bias is introduced, but the process remains relatively quick compared to comprehensive literature searches
Solution Approach 1:
The patent replaces human expert judgment with an automated search engine that systematically processes literature sources. This substitution eliminates personal bias by using objective algorithms to extract and evaluate parameter information from multiple independent sources, while maintaining productivity through automated high-speed information processing
Solution Approach 2:
The search engine performs multiple functions simultaneously: crawling literature sources, extracting parameter information, validating data consistency, and generating recommendations. This multi-functional approach comprehensively searches across diverse information sources to eliminate bias while maintaining efficient processing speeds
3Reliability
If comprehensive literature searching is performed to identify accurate parameter values and distributions, then bias is reduced and trustworthiness improves, but the complexity of the search process increases
Solution Approach 1:
The patent segments the complex search process into distinct modular components: a source interface for crawling literature, a context analysis system for understanding parameter requirements, a parameter processing system for extracting and validating data, and a search algorithm for matching parameters to models. This segmentation manages complexity by organizing the comprehensive search process into manageable, independent modules that can be executed systematically
4Adaptability or versatility
If manual parameter selection processes are used, then flexibility in handling diverse information sources is maintained, but productivity and efficiency are reduced
Solution Approach 1:
The search engine is designed as a universal system capable of handling diverse information sources including text documents, tables, graphs, and functions. The contextual analysis system automatically adapts to different source formats and types, extracting parameter information regardless of the specific format, while maintaining high productivity through automated processing of all source types simultaneously
Data Source
AI summary
A system, method and program product for a mechanistic model search engine. A system is disclosed having: a search interface for receiving input including text and functions relating to mechanistic models; a source interface for crawling online sources for mechanistic model information, wherein the information sources include text, tables, graphs, and functions; a context analysis system that determines parameter-based details from text information; a parameter processing system that derives parameter-based details from functions; and a search algorithm that compares parameter-based details determined from the input against parameter-based details determined from the information sources to identify mechanistic model search results.