Diagnosis Prediction

Diagnosis prediction research aims to develop accurate and reliable methods for identifying medical conditions using various data sources, such as electronic health records, medical images, and lab results. Current research emphasizes improving model interpretability and trustworthiness through techniques like neuro-symbolic integration, uncertainty quantification in stacked neural networks, and causal reasoning frameworks, alongside the use of deep learning architectures (e.g., residual networks, transformers) and multimodal approaches that integrate diverse data types. These advancements hold significant potential for improving healthcare efficiency and patient outcomes by enabling earlier and more accurate diagnoses, personalized treatment plans, and reduced healthcare costs.

Papers

October 1, 2024

Explainable Diagnosis Prediction through Neuro-Symbolic Integration
Qiuhao Lu, Rui Li, Elham Sagheb, Andrew Wen, Jinlian Wang, Liwei Wang, Jungwei W. Fan, Hongfang Liu
Inherent Interpretability Medical AI Adaptive Model Diagnosis Prediction Symbolic Integration Logical Neural Network Explainable Predictive

September 25, 2024

A Multi-Dataset Classification-Based Deep Learning Framework for Electronic Health Records and Predictive Analysis in Healthcare
Syed Mohd Faisal Malik, Md Tabrez Nafis, Mohd Abdul Ahad, Safdar Tanweer
Electronic Health Record Predictive Model Healthcare System Fundus Image Deep Learning Framework Hybrid Deep Learning Prediction Framework Diagnosis Prediction

September 19, 2024

Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification
Hassan Gharoun, Mohammad Sadegh Khorshidi, Fang Chen, Amir H. Gandomi
Case Study Uncertainty Aware Diagnosis Prediction Uncertainty Aware Model Trust Aware

September 2, 2024

A causal viewpoint on prediction model performance under changes in case-mix: discrimination and calibration respond differently for prognosis and diagnosis predictions
Wouter A.C. van Amsterdam
Causal Structure Model Performance Disease Prediction Prediction Model Prognosis Prediction Diagnosis Prediction Case Mix

August 8, 2024

Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits
Wangying Yang, Zitao Zheng, Shi Bo, Zhizhong Wu, Bo Zhang, Yuanfang Yang
Hypergraph Learning Patient Representation Sequential Prediction Diagnosis Prediction Sequential Treatment

June 18, 2024

Deriving Hematological Disease Classes Using Fuzzy Logic and Expert Knowledge: A Comprehensive Machine Learning Approach with CBC Parameters
Salem Ameen, Ravivarman Balachandran, Theodoros Theodoridis
Expert Knowledge Machine Learning Approach Fuzzy Logic Diagnosis Prediction Fuzzy Rule Advanced Diagnostic

June 5, 2024

Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang
Causal Reasoning Diagnosis Prediction Intelligent Education Cognitive Diagnosis

February 21, 2024

ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance
Liwen Sun, Abhineet Agarwal, Aaron Kornblith, Bin Yu, Chenyan Xiong
Time Matter Medical Information Mart for Intensive Patient Triage Diagnosis Prediction Emergency Department

January 22, 2024

Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation
Heejoon Koo
Contrastive Loss Electronic Health Record Diagnosis Prediction Hierarchical Regularisation

November 16, 2023

LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype
Vivek Shankar, Xiaoli Yang, Vrishab Krishna, Brent Tan, Oscar Silva, Rebecca Rojansky, Andrew Ng, Fabiola Valvert, Edward Briercheck, David Weinstock, Yasodha Natkunam, Sebastian Fernandez-Pol, Pranav Rajpurkar
Lymph Node Hematoxylin and Eosin Diagnosis Prediction Cancer Subtype Morphological Variation Large B Cell Lymphoma

October 10, 2023

DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
Xueren Ge, Satpathy Abhishek, Ronald Dean Williams, John A. Stankovic, Homa Alemzadeh
Domain Knowledge Multi Label Classification Domain Adaptive Multi Label Text Classification Diagnosis Prediction Hierarchical Label Tail Label Heterogeneous Knowledge Graph

September 20, 2023

CPLLM: Clinical Prediction with Large Language Models
Ofir Ben Shoham, Nadav Rappoport
Large Language Model Diagnosis Prediction Clinical Prediction Readmission Prediction Hospital Readmission Prediction

August 28, 2023

Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction
Yanjun Gao, Ruizhe Li, John Caskey, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar
Knowledge Graph Report Generation Diagnosis Prediction Unified Medical Language System

May 18, 2023

At-Admission Prediction of Mortality and Pulmonary Embolism in COVID-19 Patients Using Statistical and Machine Learning Methods: An International Cohort Study
Munib Mesinovic, Xin Ci Wong, Giri Shan Rajahram, Barbara Wanjiru Citarella, Kalaiarasu M. Peariasamy, Frank van Someren Greve, Piero Olliaro, Laura Merson, Lei Clifton, Christiana Kartsonaki, ISARIC Characterisation Group
Machine Learning Covid 19 Patient Diagnosis Prediction Pulmonary Embolism United Kingdom Biobank

March 23, 2023

Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
Chantal Pellegrini, Matthias Keicher, Ege Özsoy, Petra Jiraskova, Rickmer Braren, Nassir Navab
Zero Shot Multi Label X Ray Chest X Ray Datasets Diagnosis Prediction

October 16, 2022

This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text
Betty van Aken, Jens-Michalis Papaioannou, Marcel G. Naik, Georgios Eleftheriadis, Wolfgang Nejdl, Felix A. Gers, Alexander Löser
Clinical Text Patient Friendly Language Prototypical Network Patient Specific Diagnosis Prediction Label Attention

October 6, 2022

ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets
Weijie Sun, Sunil Vasu Kalmady, Amir Salimi, Nariman Sepehrvand, Eric Ly, Abram Hindle, Russell Greiner, Padma Kaul
Deep Learning High Throughput Electrocardiogram Recording Diagnosis Prediction Chronic Disease Population Data

September 7, 2022

Deep Learning for Medical Imaging From Diagnosis Prediction to its Counterfactual Explanation
Sumedha Singla
Deep Learning Deep Neural Network Counterfactual Explanation Medical Imaging Computer Vision Task Diagnosis Prediction Dynamic Vision

February 9, 2022

MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis
Haodi Zhang, Chenyu Xu, Peirou Liang, Ke Duan, Hao Ren, Weibin Cheng, Kaishun Wu
Machine Learning Model Inherent Interpretability Domain Knowledge Multimodal Phenomenon Diagnosis Prediction Multimodal Diagnosis

Diagnosis Prediction

Papers

Explainable Diagnosis Prediction through Neuro-Symbolic Integration

A Multi-Dataset Classification-Based Deep Learning Framework for Electronic Health Records and Predictive Analysis in Healthcare

Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification

A causal viewpoint on prediction model performance under changes in case-mix: discrimination and calibration respond differently for prognosis and diagnosis predictions

Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits

Deriving Hematological Disease Classes Using Fuzzy Logic and Expert Knowledge: A Comprehensive Machine Learning Approach with CBC Parameters

Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis

ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance

Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation

LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype

DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction

CPLLM: Clinical Prediction with Large Language Models

Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction

At-Admission Prediction of Mortality and Pulmonary Embolism in COVID-19 Patients Using Statistical and Machine Learning Methods: An International Cohort Study

Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis

This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text

ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets

Deep Learning for Medical Imaging From Diagnosis Prediction to its Counterfactual Explanation

MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis