Maptrix

           DETAILS REQUIRED FOR FILING PATENT

= Title of the work? Maptix

= Name, address and Nationality of the inventors/s and Co-inventors? Please specify?

= Has the work is already registered for Provisional patent? If Yes then provide the provisional patent number and date of registration ( Attached the Copy of Forms Submitted at the time of Provisional patent)? No

= Statement of Invention? Medicine meets math to solve patient

= Prior Art

== Prior Art with Application ID Key Features Close to Your Invention

US10957449B1: Determining New Knowledge for Clinical Decision Support
Summary: This patent discusses systems and methods for facilitating clinical decision support and managing patient population health by determining new knowledge.
US20120232930A1: Clinical Decision Support System
Summary: This patent describes a clinical decision support system that performs similarity searches to determine probable outcomes by applying clinical actions from historical cases to current patients. 6
"A Clinical Decision Support System Using Rough Set Theory and Machine Learning for Disease Prediction"
Summary: This research paper presents a clinical decision support system that integrates rough set theory and machine learning techniques to improve disease prediction accuracy.

== Key Differences in Your Invention from Prior Art

Integration of Multiple Mathematical Models:
Prior Art: Existing systems may utilize individual mathematical approaches, such as rough set theory or probabilistic models, but do not combine multiple mathematical frameworks.
Your Invention: Maptrix uniquely integrates set theory, vector mathematics, and decision matrices into a cohesive framework, providing a comprehensive and structured approach to medical decision-making.
Hybrid Implementation (Manual and Software-Based):
Prior Art: Most clinical decision support systems are software-based, requiring technological infrastructure.
Your Invention: Maptrix offers both a pen-and-paper method and a software-based system, ensuring accessibility in low-resource settings and flexibility for various clinical environments.
Transparent and Explainable Decision-Making Process:
Prior Art: Many AI-based systems function as black boxes, providing recommendations without clear reasoning.
Your Invention: Maptrix emphasizes mathematical transparency, allowing clinicians to understand and interpret the decision-making process, thereby enhancing trust and usability.
Dynamic and Patient-Specific Adaptation:
Prior Art: Some systems apply generalized models that may not account for individual patient variations.
Your Invention: Maptrix incorporates patient history and real-time data, enabling dynamic updates and personalized medical decision-making.
Educational Utility:
Prior Art: Existing systems primarily focus on providing decision support without emphasis on educational applications.
Your Invention: Maptrix serves as a tool for medical education, aiding in the training of clinicians by illustrating the logical progression from symptoms to diagnosis and treatment through mathematical modeling.

These distinctions highlight the innovative aspects of Maptrix, setting it apart from existing clinical decision support systems and addressing gaps in current medical decision-making tools.

= Description Of The Present Invention? Medicine is full of facts. Every fact has a value, and each value can be computed. Computation enables the transformation of input (symptoms, patient data, medical history) into output (diagnoses, treatment plans, predictions).

Thus,Maptrix transforms medical reasoning into a mathematical and computational framework, ensuring precise, efficient, and evidence-based decision-making. By combining traditional clinical expertise with mathematical logic, it empowers medical professionals with better tools for diagnosis, treatment planning, and personalized care.

= Novelty, non-obviousness, inventive step and utility of this invention, with brief justification?

//// 1. Novelty – How is your invention new compared to existing solutions?

Non-obviousness – Why wouldn't a skilled professional have easily thought of this invention?
Inventive Step – What unique technical advancement or innovation does your invention introduce?
Utility – How does your invention solve a real-world problem or provide practical benefits? ////

== 1. Novelty – How is your invention new compared to existing solutions? * Existing medical decision-making tools rely on traditional statistical models, expert systems, or AI-driven black-box models, but lack a mathematical framework that integrates set theory, vector analysis, and functional mappings with medicine language. * No known system provides a structured paper-based methodology that mirrors the computational process, ensuring usability in low-resource settings without access to software. * Unlike typical AI-based medical tools, this system offers a transparent, interpretable decision-making matrix, allowing practitioners to manually verify and refine decisions.

== 2. Non-obviousness – Why wouldn't a skilled professional have easily thought of this invention? * The integration of set theory, vector mathematics, and function-based mappings into a single medical reasoning framework is not an obvious approach in clinical decision-making. * Existing AI and decision-support systems focus on probabilistic inference or machine learning, rather than a structured mathematical approach that works both manually and computationally. * Skilled professionals in medicine generally do not apply formal mathematical structures like function mapping and decision matrices in a systematic way for diagnostics.

== 3. Inventive Step – What unique technical advancement or innovation does your invention introduce? * The use of vector representations for diseases and anatomical effects provides a geometric interpretation of pathology and treatment pathways, which is novel in medical diagnostics. * A hybrid method combining manual (pen-and-paper) and software-based implementations, ensuring usability in both clinical and computational settings. * A mathematically rigorous approach to decision-making from symptoms of patient that bridges human expert intuition with computational reasoning. * The decision matrix allows for structured comparison of treatment pathways, incorporating probability scoring, history-aware updates, and symbolic logic.

== 4. Utility – How does your invention solve a real-world problem or provide practical benefits? * Provides a structured, interpretable, and reproducible method for medical decision-making, reducing errors due to subjective reasoning. * Enables clinicians in low-resource settings to perform rigorous decision-making without reliance on AI or computational tools. * Supports medical training and education by offering a framework that students can use to understand the logical progression from symptoms to diagnosis and treatment. * Bridges the gap between mathematical precision and medical uncertainty, allowing for better-informed, data-driven healthcare decisions.

== Method of Use * Pen and Paper Approach: - Clinicians manually list signs, symptoms, and conditions in a structured table. - Symptoms are categorized using set theory principles. - Diseases and their effects are represented using vectors for anatomical and pathological relationships. - Handwritten functions map symptoms to probable diagnoses. - A decision matrix is used on paper to compare treatment pathways and select the optimal choice.

Software-Based Approach:
The same mathematical principles are applied digitally in a software system.
The system automatically categorizes, maps, and generates treatment pathways.
AI-enhanced decision matrices incorporate probability scoring and real-time updates.
A graph-based model can be used for dynamic decision-making and optimization.
A userface can in command line,Graphical userface,questionnare form

== Manufacturing or Process of the Present Invention * Manual Version: - Requires only paper, pen, and predefined templates for recording data. - Standardized forms ensure consistency across different cases. - Training materials guide clinicians in applying the method correctly.

Software Version:
Developed using mathematical libraries, database management, and AI-based optimization.
Includes modules for data input, processing, and decision analysis.
Compatible with cloud-based or offline use for accessibility in diverse clinical settings.

== Drawing/Photographs/Formula with Labels for the Invention

...

== Advantages/Utility of the Present Invention 1. Combines manual and computational methods, ensuring applicability in both high-tech and low-resource environments. 2. Transparent, interpretable decision-making rather than black-box AI models. 3. Provides structured training for medical professionals and students. 4. Reduces diagnostic errors by offering a step-by-step, evidence-based approach. 5. Integrates probability scoring and history-aware updates for dynamic decision-making. 6. Adaptable for different medical fields, including general medicine, dentistry, and mental health. 7. ** predicts the future and helps in prevention** by structred information 8. ** examines each and everything** 9. easy transferable and communicable health by single numerical values

== Present National and International Knowledge on the Utility of This Invention * Existing Clinical Decision Support Systems (CDSS): - Many AI-based decision support systems exist but lack mathematical transparency. - Traditional probabilistic models focus on statistical analysis rather than structured mathematical reasoning.

International Research and Patents:
Some prior patents (e.g., US7630947B2) explore AI and ontologies for medical reasoning.
No known system combines set theory, vector mathematics, and decision matrices in a single diagnostic framework.
Need for a Hybrid Approach:
Many developing regions lack access to advanced AI systems, making the pen-and-paper method essential.
In contrast, high-tech clinical environments can benefit from AI-enhanced optimization.

== Whether the invention is made out of SBV (Yes/No) == Commercial potential of invention

== Claims = Patent Claims for Maptrix: A Mathematical Framework for Medical Decision-Making

== Independent Claims 1. A method for medical decision-making using mathematical principles, comprising: * all medical text is convert into proposional logic with value * listing signs, symptoms, and conditions in a structured table. * Using set theory principles to classify symptoms,findings,areas into medical categories. * Drawing vector representations of diseases and their effects based on time and anatomy * combinators to find all possible conditions * Defining algebric functions mapping from symptoms to probable diagnoses. * Using a decision matrix on paper to compare treatment pathways and select the optimal one. * predicting the fate of patient by structured vectors * patient health in a string of numerical value for transfer and predict outcome * Applying this method both manually on paper and computationally in software.

== Dependent Claims (Enhancements & Features) ...

== Future Plan of Patent Proposal if its Registered Plan for the Research: Plan for Commercialization/ Technology Transfer of the invention? Plan for commercialization

== Are you willing to enroll in SBV MGM Bio-incubator startup program ?, if yes, please give a short description about your proposed company?

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         DETAILS REQUIRED FOR FILING COPYRIGHT

= Nature of the Work
Health, Academic

= Title of the Work
Maptrix: A Mathematical Framework for Medical Decision-Making

= Language of the Work
English

= Name, Address, and Nationality of the Author/s and Co-authors
- Author: Sri Ram
- Address: G.mamidada - Nationality: Indian - Co-authors (if any): [Co-author names, addresses, nationalities]

= Whether the Work Has Been Created by a Single Person or Many?
Created by a single person, Sri Ram.

= Whether the Work is Published or Not? If Published, Provide the DD/MM/YYYY of Publication
Not published as of now.

= If Published, Name, Address, and Nationality of the Publisher
N/A

= Statement of Work
medicine meets math to solve patient

Maptrix is a novel mathematical system for structuring medical knowledge using set theory, vector mathematics, and decision matrices. It transforms medical text into structured propositions, allowing for transparent, explainable decision-making. The work is designed for both manual and computational use, bridging traditional and AI-driven clinical decision support.

= Description of the Work
This work presents a structured mathematical approach to medical diagnosis and treatment planning by:
1. Categorizing medical conditions using set theory.
2. Mapping anatomical and pathological relationships with vector mathematics.
3. Defining functions that connect symptoms → diagnosis → treatment.
4. Building a decision matrix to evaluate treatment options.
5. Supporting both pen-and-paper and AI-powered implementations for accessibility.

= Uniqueness of the Work
- Combines multiple mathematical principles (set theory, vector math, decision matrices) for medical applications.
- Transparent reasoning process, unlike black-box AI systems.
- Hybrid usability: Manual paper-based approach + AI-enhanced software.
- Applicable in education, research, and real-world clinical decision-making.

= Advantages of Present Work
- Accessible: Works in low-tech and high-tech environments.
- Efficient: Optimizes clinical decision-making using structured mathematics.
- Explainable: Ensures doctors understand the reasoning behind recommendations.
- Versatile: Usable for diagnostics, treatment planning, and medical training.

= Future Plan of Copyright Proposal if Registered

Plan for the Research¶

Expand mathematical modeling to include graph theory for disease progression analysis.
Develop machine learning algorithms to refine decision matrix optimization.
Conduct clinical validation studies to measure Maptrix's effectiveness.

Plan for Dissemination of the Copyright¶

Publish in medical and mathematical journals.
Present at healthcare and AI conferences.
Open-source or commercial software release for broader adoption.
Develop educational materials for training medical professionals and students.

Brief Introduction about Innovative Idea/Invention

. Teams Name / Name Name of Members in the team if any Email id (Principal Inventor) : . Phone Number (Principal Inventor): . Year of Study/ Designation . College Name: . Brief Descriptions about your innovative idea or invention

= rough work

Independent Claims (Core Innovations)

.. A method for medical decision-making using mathematical principles, comprising:

... Converting medical descriptions into structured propositions for logical analysis.

... Categorizing signs, symptoms, diagnoses, and treatments using set theory.

... Representing anatomy, pathology, and consequences as vectors in a multi-dimensional space.

... Defining functions that map symptoms to diagnoses and treatments.

... Constructing a decision matrix that integrates medical propositions for optimized decision-making.

A system for computational medical reasoning, comprising:

A natural language processing (NLP) module for extracting medical propositions from text.

A mathematical reasoning engine implementing set theory, vectors, and function mapping.

A decision matrix generator for ranking possible diagnoses and treatments.

A user interface (UI) for manual input and visualization of health states and decision pathways

A pen-and-paper method for medical analysis, comprising

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//// Difference Between Statistics, AI, Algorithms, Machine Learning, and Data Science

Where Does Your Invention Fit?

Your Maptix system is not purely AI or machine learning, but a mathematical framework that structures medical decision-making. It integrates:

Mathematical logic (set theory, vectors, functions) → Statistics

Defined rules and decision matrices → Algorithms

Computational approach with structured medical reasoning → Data Science

To patent it successfully, you should emphasize that it is not just AI or ML, but a new mathematical methodology for medical decision-making that can work both manually and computationally.

Would you like me to refine your patent description to better reflect this?

For patenting Maptix, you need to clearly define how it is different from existing AI, machine learning, statistical models, and algorithms. Here’s how you should structure it:

Define What Maptix Is

Maptix is a novel mathematical framework that structures medical decision-making using a deterministic approach rather than probabilistic learning models.

Unlike traditional AI and ML systems, which rely on large datasets to train predictive models, Maptix is based on structured mathematical relationships, logical mapping, and decision matrices that can be used manually or computationally.

How Maptix Differs From Other Technologies

Why Maptix is Patentable
New & Non-Obvious Approach

Unlike AI/ML, which relies on statistical probabilities, Maptix uses structured logical mapping and deterministic mathematical rules for medical decision-making.

It ensures consistency in diagnosis and treatment planning, unlike ML models that may change over time based on data updates.

Not Just Software, But a Novel Methodology

Maptix can be implemented manually (on paper) or computationally, making it more than just an AI model.

It defines a structured medical knowledge system that enhances decision-making reliability.

Practical and Useful

Medical professionals can use it as a decision-support tool to make structured diagnoses without relying on statistical models or large datasets.

Can be integrated into existing medical software to improve consistency in medical reasoning.

Suggested Patent Title & Abstract

Patent Title:

"A Deterministic Mathematical Framework for Structured Medical Decision-Making"

Patent Abstract:

"This invention presents Maptix, a deterministic mathematical framework designed for structured medical decision-making. Unlike traditional AI and machine learning approaches that rely on statistical probabilities and data-driven training, Maptix organizes medical knowledge into a logically mapped system based on mathematical relationships. It enables medical professionals to make consistent, rule-based diagnoses and treatment decisions. The framework can be implemented manually or as computational logic within medical software. By providing a structured, deterministic approach, Maptix ensures transparency, reliability, and efficiency in clinical decision-making."

Would you like me to refine this further based on your specific use case? ////