Medical Data Mining TRIZ Cases
- Smart Pooling System for Infectious Disease Testing
A smart pooling system uses machine learning to determine optimal sample group sizes.
- Vehicle Cabin Radar Monitoring with Beam Deflection
Beam deflection devices redirect radar waves toward shielded cabin areas, resolving measurement precision and device complexity trade-offs.
- Decision Tree Model for Personalized Health Condition Prediction
A decision tree model processes demographic data to generate vectors identifying probable health conditions.
- Cause-Effect Sentence Analysis for Patent Similarity
A cause-effect sentence analysis device extracts and analyzes sentences by calculating similarity degrees between reference expressions and extracted components.
- Automated Infiltrate Extraction from Radiology Reports
A system parses radiology reports to extract infiltrate information for clinical decision support.
- Brain Connectivity Atlas for Personalized Neurosurgery Targeting
Quantitative connectome atlas identifies patient-specific neurosurgery target locations by comparing individual brain imaging data to population-based connectivity maps.
- Continuous Respiratory Monitoring for Asthma Prediction
Multi-sensor wearable system analyzes continuous physiological data to predict asthma attacks and enable timely preventive care.
- AI Scalp Diagnostic System Using Deep Learning Analysis
An automated diagnostic system replaces manual expert comparison with deep learning image analysis, improving speed while maintaining measurement precision.
- Dynamic Data Analysis for Multivariate Diagnostic Interpretation
System integrates multivariate laboratory results and genetic profiles to reduce unnecessary testing cycles by providing nuanced diagnostic interpretations.
- Prediction Model for Health Outcome Distribution Visualization
A prediction model trains on demographic and social data to display health outcome distributions across geographical areas.
- MCI Detection via Passive Sensor Data Compression
Autoencoders compress passive sensor data to detect mild cognitive impairment while correcting corrupt readings.
- Medical Data Visualization via Normalization and Mediator Patterns
A medical data visualization system normalizes heterogeneous datasets from multiple entities into a unified dashboard for automated comparison.
- Bone Stiffness Measurement via Frequency Response Analysis
Parametric model fitting to frequency response functions isolates bone stiffness from skin compression, resolving measurement inaccuracy.
- Brainwave Database Evolution for Real-Time Neurofeedback
Automatic brainwave database evolution updates neural network models with subject data to refine physiological signal analysis.
- Quantum optics spectroscopy for non-invasive disease diagnosis
Quantum optics spectroscopy generates molecular profiles from biological samples to enable objective diagnostic scoring.
- EEG Signal Processing for Driving Intention Detection
Segmented soft classification of EEG features determines driving intention, reducing cognitive load while maintaining measurement precision.
- Hypergraph Neural Network for High-Order Interference Estimation
Hypergraph neural network propagates confounder representations to model multi-way node interactions.
- Lab Value Distribution Analysis System
Server segments data retrieval and preprocessing modules to reduce processing time while maintaining analysis accuracy.
- Pneumonia Readmission Prediction Using Ensemble Machine Learning
Ensemble machine learning models predict pneumonia readmission risk using pre-discharge patient data.
- Machine Learning Medical Device Classification System
A machine learning algorithm classifies patient data to suggest medical devices and drugs.
- Deep Learning Prediction of Therapeutic Response Using Pre-treatment Imaging
Extracting pre-treatment imaging features enables accurate treatment response prediction before therapy initiation.
- Blood Pressure Prediction Using Physiological Signal Optimization
Computational models predict blood pressure using extracted physiological features and optimization algorithms.
- Ultrasound Foreign Body Detection Algorithm
A trained convolutional neural network processes ultrasound images to localize retained cotton balls, eliminating visual inspection errors during neurosurgery.
- Health Information Processing System for Data Integration
Intermediary platform manages authentication and cleans data streams to resolve fragmentation between siloed health records.
- Image Registration Cost Functions for Tissue Segmentation
Signal processing system computes refined template data using multi-channel cost functions to identify tissue substructures.
- Automated Clinical Suitability Assessment for Pathology Imaging
Automated assessment system evaluates image integrity and metadata accuracy, reducing regulatory approval time for pathology imaging devices.
- Wearable Fever Patches and Bracelets for Early Disease Detection
RFID-enabled wearable patches monitor body temperature to enable targeted isolation, avoiding widespread economic disruption from broad closures.
- Medical Heat Map Visualizes Biomarker Risk Over Time
A medical apparatus generates a heat map to visualize biomarker risk levels across multiple time points for healthcare professionals.
- Neural Interface Using Offline Separation Matrix for Real-Time EMG Decoding
A neural interface generates a separation matrix from initial electromyography signals to detect motor neuron action potentials in real time.
- Ocular Image Merging for Glaucoma Progression Analysis
A device combines separate ocular images into a single composite view to visualize structural changes in the eye.
- Cell-Free Biomarker Analysis for Non-Invasive Pregnancy Monitoring
A trained algorithm analyzes cell-free biological samples to detect pregnancy-related biomarkers with high accuracy.
- NLP Diagnosis Indicator Extraction from Clinical Notes
Machine learning algorithms identify diagnosis indicators within unstructured narrative notes to support clinical decision making.
- Clinical Signature Reliability via Parallel Stratification
Parallel stratification sources validate diagnostic signatures against true reference values, eliminating spurious patterns from overfitting.
- Prognosis Prediction Device Using Machine Learning for Pneumonia
A prognosis prediction device applies machine learning algorithms to clinical information for accurate pneumonia outcome assessment.