Disease Prediction

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 73 papers with code (261 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks
  10 May 2019 5 repositories listed
  In this paper, we apply a new promising tool for pattern classification, namely, the Tsetlin Machine (TM), to the field of disease forecasting.
• The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
  9 Feb 2020 4 repositories listed
  TADPOLE's unique results suggest that current prediction algorithms provide sufficient accuracy to exploit biomarkers related to clinical diagnosis and ventricle volume, for cohort refinement in clinical trials for…
• Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
  13 Jun 2018 3 repositories listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  However, existing unsupervised representation learning methods mainly focus on preserving the data regularity information and learning the representations independently of subsequent outlier detection methods, which can…
• Merlin: A Vision Language Foundation Model for 3D Computed Tomography
  10 Jun 2024 2 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  However, current medical VLMs are generally limited to 2D images and short reports, and do not leverage electronic health record (EHR) data for supervision.
• Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions
  23 Mar 2022 2 repositories listed
  We test our method on two medical datasets of patient records, TADPOLE and MIMIC-III, including imaging and non-imaging features and different prediction tasks.
• VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
  14 Apr 2021 2 repositories listed
  The only non-invasive method for capturing retinal vasculature is optical coherence tomography-angiography (OCTA).
• Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
  26 Mar 2021 2 repositories listed
  Preventable or undiagnosed visual impairment and blindness affect billion of people worldwide.
• Naive Bayes and Text Classification I - Introduction and Theory
  16 Oct 2014 2 repositories listed
  Naive Bayes classifiers, a family of classifiers that are based on the popular Bayes' probability theorem, are known for creating simple yet well performing models, especially in the fields of document classification…
• Multimodal Integrated Knowledge Transfer to Large Language Models through Preference Optimization with Biomedical Applications
  9 May 2025 1 repository listed
  To address this challenge, we introduce MINT (Multimodal Integrated kNowledge Transfer), a framework that aligns unimodal large decoder models with domain-specific decision patterns from multimodal biomedical data…
• Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble Architectures
  27 Mar 2025 1 repository listed
  Our research is motivated by the urgent global issue of a large population affected by retinal diseases, which are evenly distributed but underserved by specialized medical expertise, particularly in non-urban areas.
• Patient Trajectory Prediction: Integrating Clinical Notes with Transformers
  25 Feb 2025 1 repository listed
  Current models, primarily based on structured data, struggle to capture the complete medical context of patients, resulting in a loss of valuable information.
• Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations
  23 Feb 2025 1 repository listed
  This work proposes a method that surpasses the performance of established machine learning models while simultaneously improving prediction interpretability for diabetic retinopathy staging from optical coherence…
• DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction
  8 Jan 2025 1 repository listed
  Temporal embryo images and parental fertility table indicators are both valuable for pregnancy prediction in \textbf{in vitro fertilization embryo transfer} (IVF-ET).
• Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data
  19 Nov 2024 1 repository listed
  To bridge this gap, we introduce Barttender, an interpretable framework that uses deep learning for the direct comparison of the utility of imaging versus non-imaging tabular data for tasks like disease prediction.
• A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis
  8 Nov 2024 1 repository listed
  The main challenges hindering the adoption of deep learning-based systems in clinical settings are the scarcity of annotated data and the lack of interpretability and trust in these systems.
• Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning
  8 Nov 2024 1 repository listed
  Accurate prediction of cardiovascular diseases remains imperative for early diagnosis and intervention, necessitating robust and precise predictive models.
• Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease
  29 Oct 2024 1 repository listed
  We observe difference between our dMRI-based brain age and T1w MRI-based brain age across stages of neurodegeneration, with dMRI-based brain age being older than T1w MRI-based brain age in participants transitioning…
• Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning
  23 Oct 2024 1 repository listed
  However, traditional approaches typically focus on unimodal medical image data, neglecting the integration of diverse non-image patient data.
• SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning
  31 Jul 2024 1 repository listed
  The code used in this work has been open-sourced and is available at https://github.
• Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data
  21 Jun 2024 1 repository listed
  Here, we propose TMM, a trusted multiview multimodal graph attention framework for AD diagnosis, using extensive brain-wide transcriptomics and imaging data.
• UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation
  3 Jun 2024 1 repository listed
  Ultrasound is widely used in clinical practice due to its affordability, portability, and safety.
• Out-of-distribution Reject Option Method for Dataset Shift Problem in Early Disease Onset Prediction
  30 May 2024 1 repository listed
  This study is the first to apply OOD detection to actual health and medical data, demonstrating its potential to substantially improve the accuracy and reliability of disease prediction models amidst dataset shift.
• Rene: A Pre-trained Multi-modal Architecture for Auscultation of Respiratory Diseases
  13 May 2024 1 repository listed
  In this study, we introduce Rene, a pioneering large-scale model tailored for respiratory sound recognition.
• Enabling Patient-side Disease Prediction via the Integration of Patient Narratives
  5 May 2024 1 repository listed
  Disease prediction holds considerable significance in modern healthcare, because of its crucial role in facilitating early intervention and implementing effective prevention measures.
• Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank
  26 Apr 2024 1 repository listed
  Here, we assess whether we can improve disease prediction across diverse ancestries using multiomic data.
• DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era
  18 Apr 2024 1 repository listed
  In the big data era, integrating diverse data modalities poses significant challenges, particularly in complex fields like healthcare.
• Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold
  18 Apr 2024 1 repository listed
  Our method is based on the principle that if a model is dependent on a feature, then removal of that feature should significantly harm its performance.
• Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
  6 Mar 2024 1 repository listed Syntology ran 7 of 10 samples · 3 unverified · 10 pointer-only (licence)
  To reduce human intervention and improve the framework design, we propose an automated approach named AutoDP, which can search for the optimal configuration of task grouping and architectures simultaneously.
• Attention on Personalized Clinical Decision Support System: Federated Learning Approach
  22 Jan 2024 1 repository listed
  Thus, our objective is to provide a personalized clinical decision support system with evolvable characteristics that can deliver accurate solutions and assist healthcare professionals in medical diagnosing.
• VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
  8 Oct 2023 1 repository listed
  To be commensurate with this capacity, in addition to the real data used for pre-training, we also generated and leveraged synthetic ophthalmic imaging data.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.