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 401–425 of 714 papers

TitleStatusHype
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection—0
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks—0
Minimal Multi-Layer Modifications of Deep Neural Networks—0
Learning Optimal Conformal ClassifiersCode1
A Machine Learning Approach for Delineating Similar Sound Symptoms of Respiratory Conditions on a Smartphone—0
A Generic Knowledge Based Medical Diagnosis Expert System—0
Consistent Counterfactuals for Deep Models—0
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data—0
Tipping the Scales: A Corpus-Based Reconstruction of Adjective Scales in the McGill Pain Questionnaire—0
Automated hypothesis generation via Evolutionary Abduction—0
Calibration Regularized Training of Deep Neural Networks using Kernel Density Estimation—0
Sample Complexity of Deep Active Learning—0
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making—0
A Medical Pre-Diagnosis System for Histopathological Image of Breast Cancer—0
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostCode1
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation—0
Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failureCode0
Electroencephalogram Signal Processing with Independent Component Analysis and Cognitive Stress Classification using Convolutional Neural Networks—0
Detecting OODs as datapoints with High Uncertainty—0
White blood cell subtype detection and classification—0
DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19—0
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation—0
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions—0
Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units—0
Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty—0
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Benchmark Results

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