International business machines corporation (20240296922). USING A GAN FOR ELECTRONIC HEALTH RECORD EXTRAPOLATION simplified abstract
Contents
USING A GAN FOR ELECTRONIC HEALTH RECORD EXTRAPOLATION
Organization Name
international business machines corporation
Inventor(s)
USING A GAN FOR ELECTRONIC HEALTH RECORD EXTRAPOLATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240296922 titled 'USING A GAN FOR ELECTRONIC HEALTH RECORD EXTRAPOLATION
- Simplified Explanation:**
This patent application describes a method of using a generative adversarial network (GAN) for extrapolating electronic health records (EHRs). The method involves generating artificial patient trajectories for a disease using the GAN and applying it to predict hypothetical patient trajectories or latent diagnoses for the disease.
- Key Features and Innovation:**
- Utilizes a generative adversarial network (GAN) for EHR extrapolation.
- Generates artificial patient trajectories for a disease.
- Trains the GAN iteratively using the generated patient trajectories.
- Predicts hypothetical patient trajectories or latent diagnoses for the disease.
- Potential Applications:**
This technology can be applied in healthcare settings for predicting disease progression, treatment outcomes, and personalized medicine approaches.
- Problems Solved:**
Addresses the need for accurate prediction of patient trajectories and diagnoses based on electronic health records.
- Benefits:**
- Improves the accuracy of predicting disease progression.
- Enables personalized treatment strategies based on patient data.
- Enhances healthcare decision-making processes.
- Commercial Applications:**
Potential commercial applications include healthcare analytics platforms, predictive modeling tools for disease management, and personalized medicine solutions.
- Prior Art:**
Prior research in the field of machine learning and healthcare data analysis may provide insights into similar methods or approaches.
- Frequently Updated Research:**
Stay updated on advancements in machine learning algorithms for healthcare data analysis and predictive modeling.
- Questions about EHR Extrapolation:**
1. How does the use of a generative adversarial network (GAN) improve EHR extrapolation compared to traditional methods? 2. What are the potential limitations or challenges of applying this technology in real-world healthcare settings?
Original Abstract Submitted
a method of using a generative adversarial network (gan) for ehr extrapolation is provided. the method includes obtaining ehrs for a plurality of patients. a generative component of the gan is used to generate artificial patient trajectories for a disease that are marked as real by a discriminative component of the gan based on the obtained ehrs. the artificial patient trajectories for the disease that are marked as real are used to iteratively train the gan. the trained gan is applied to a new patient ehr to predict at least one hypothetical patient trajectory or latent diagnosis for the disease.
