SOTAVerified

Medical Diagnosis

Medical Diagnosis is the process of identifying the disease a patient is affected by, based on the assessment of specific risk factors, signs, symptoms and results of exams.

Source: A probabilistic network for the diagnosis of acute cardiopulmonary diseases

Papers

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Showing 651–700 of 714 papers

TitleStatusHype
Wikipedia for Smart Machines and Double Deep Machine Learning—0
Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning—0
Crafting Adversarial Examples For Speech Paralinguistics Applications—0
Towards CT-quality Ultrasound Imaging using Deep Learning—0
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks—0
Multi-objective Contextual Multi-armed Bandit with a Dominant Objective—0
Application of machine learning for hematological diagnosis—0
Stochastic Sequential Neural Networks with Structured Inference—0
A New Medical Diagnosis Method Based on Z-Numbers—0
A Labeling-Free Approach to Supervising Deep Neural Networks for Retinal Blood Vessel Segmentation—0
Machine Learning and the Future of Realism—0
Quantum ensembles of quantum classifiers—0
Annotation of negation in the IULA Spanish Clinical Record Corpus—0
Learning and inference in knowledge-based probabilistic model for medical diagnosis—0
Linear classifier design under heteroscedasticity in Linear Discriminant Analysis—0
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural NetworksCode0
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems—0
Feature Selection based on PCA and PSO for Multimodal Medical Image Fusion using DTCWT—0
Weak Adaptive Submodularity and Group-Based Active Diagnosis with Applications to State Estimation with Persistent Sensor Faults—0
The SP Theory of Intelligence as a Foundation for the Development of a General, Human-Level Thinking Machine—0
Segmentation of large images based on super-pixels and community detection in graphs—0
Vaidya: A Spoken Dialog System for Health Domain—0
New Trends in Neutrosophic Theory and Applications—0
Stacked Autoencoders for Medical Image Search—0
A probabilistic network for the diagnosis of acute cardiopulmonary diseases—0
Deep learning trends for focal brain pathology segmentation in MRI—0
Estimating Uncertainty Online Against an Adversary—0
Performance Based Evaluation of Various Machine Learning Classification Techniques for Chronic Kidney Disease Diagnosis—0
Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis—0
A Neutrosophic Recommender System for Medical Diagnosis Based on Algebraic Neutrosophic Measures—0
Multi-layer Representation Learning for Medical ConceptsCode0
The Utility of Abstaining in Binary Classification—0
Calibrated Structured PredictionCode0
Anchored Discrete Factor Analysis—0
Evaluation of Joint Multi-Instance Multi-Label Learning For Breast Cancer Diagnosis—0
Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data—0
Proposal for the creation of a research facility for the development of the SP machine—0
Extracting Disease-Symptom Relationships by Learning Syntactic Patterns from Dependency Graphs—0
RELEAF: An Algorithm for Learning and Exploiting Relevance—0
Discovering, Learning and Exploiting Relevance—0
Sparse Variational Bayesian Approximations for Nonlinear Inverse Problems: applications in nonlinear elastography—0
Medical diagnosis as pattern recognition in a framework of information compression by multiple alignment, unification and search—0
Ambiguity-Driven Fuzzy C-Means Clustering: How to Detect Uncertain Clustered Records—0
Information Extraction from German Patient Records via Hybrid Parsing and Relation Extraction Strategies—0
Smart machines and the SP theory of intelligence—0
The Continuity of Images by Transmission Imaging Revisited—0
Performance Analysis Of Neural Network Models For Oxazolines And Oxazoles Derivatives Descriptor Dataset—0
Automatic White Blood Cell Measuring Aid for Medical Diagnosis—0
Test Set Selection using Active Information Acquisition for Predictive Models—0
Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DenseNet-161Average Precision0.74—Unverified