About This App
Universal Health Predictor is a client-side statistical decision-support tool. It enables users to perform transparent, deterministic condition matching using their own structured datasets. The application does not contain built-in medical knowledge and does not use artificial intelligence or machine learning.
Algorithm & Model
This app implements a frequency-based statistical weighting model. For each selected indicator, the system calculates its frequency within each condition, then computes a normalized mean score. All computations are deterministic and fully explainable. No predictive, AI, or ML methods are used.
Regulatory & Professional Statement
This application is intended for use with hospital-supplied, high-quality datasets. It is strictly a statistical pattern-matching tool and does not provide diagnostic, predictive, or clinical decision-making capabilities. All results are based solely on user-provided data and statistical calculations.
Data Structure Example
| Condition | Fever | Cough | Unicode_नाम | ... |
| A (फ्लू) | 1 | 0 | 1 | ... |
| B (Cold) | 0 | 1 | 0 | ... |
MIT License | Open-Source Core
Developed by Saurabh Gayali