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 651–675 of 714 papers

TitleStatusHype
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations—0
DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19—0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics—0
Pinball-OCSVM for early-stage COVID-19 diagnosis with limited posteroanterior chest X-ray images—0
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks—0
ECG Segmentation using a Neural Network as the Basis for Detection of Cardiac Pathologies—0
Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data—0
Effectiveness of LSTMs in Predicting Congestive Heart Failure Onset—0
Efficient Online Decision Tree Learning with Active Feature Acquisition—0
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout—0
Electroencephalogram Signal Processing with Independent Component Analysis and Cognitive Stress Classification using Convolutional Neural Networks—0
Empirical performance maximization for linear rank statistics—0
Energy efficiency in Edge TPU vs. embedded GPU for computer-aided medical imaging segmentation and classification—0
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets using Post-Heuristic Approaches—0
Enhancing Electrical Impedance Tomography reconstruction using Learned Half-Quadratic Splitting Networks with Anderson Acceleration—0
Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models—0
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes—0
Enhancing Medical Support in the Arabic Language Through Personalized ChatGPT Assistance—0
Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification—0
Ensemble model for pre-discharge icd10 coding prediction—0
ESAD: End-to-end Deep Semi-supervised Anomaly Detection—0
Estimating Uncertainty Online Against an Adversary—0
Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study—0
Estimation with Uncertainty via Conditional Generative Adversarial Networks—0
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Benchmark Results

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