Papers Sequential Diagnosis
“Sequential Diagnosis” 태그가 달린 논문 14편 · 필터 해제
Active Sampling for MRI-based Sequential Decision Making
Despite the superior diagnostic capability of Magnetic Resonance Imaging (MRI), its use as a Point-of-Care (PoC) device remains limited by high cost and complexity. To enable such a future by reducing the magnetic field …
Decision MakingDiagnosticMulti-Objective Reinforcement LearningSequential Decision Making+1Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits
This study introduces a pioneering Dynamic Hypergraph Networks (DHCE) model designed to predict future medical diagnoses from electronic health records with enhanced accuracy. The DHCE model innovates by identifying and …
Language ModelingLanguage ModellingPredictionSequential DiagnosisOvercoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation
In this paper, we present NECHO v2, a novel framework designed to enhance the predictive accuracy of multimodal sequential patient diagnoses under uncertain missing visit sequences, a common challenge in real clinical se…
Knowledge DistillationSequential DiagnosisA optimization framework for herbal prescription planning based on deep reinforcement learning
Treatment planning for chronic diseases is a critical task in medical artificial intelligence, particularly in traditional Chinese medicine (TCM). However, generating optimized sequential treatment strategies for patient…
Deep Reinforcement Learningreinforcement-learningSequential DiagnosisSequential Diagnosis Prediction with Transformer and Ontological Representation
Sequential diagnosis prediction on the Electronic Health Record (EHR) has been proven crucial for predictive analytics in the medical domain. EHR data, sequential records of a patient's interactions with healthcare syste…
PredictionSequential DiagnosisDynamicHS: Streamlining Reiter's Hitting-Set Tree for Sequential Diagnosis
Given a system that does not work as expected, Sequential Diagnosis (SD) aims at suggesting a series of system measurements to isolate the true explanation for the system's misbehavior from a potentially exponential set …
DiagnosticSequential DiagnosisTowards Optimizing Reiter's HS-Tree for Sequential Diagnosis
Reiter's HS-Tree is one of the most popular diagnostic search algorithms due to its desirable properties and general applicability. In sequential diagnosis, where the addressed diagnosis problem is subject to successive …
DiagnosticSequential DiagnosisEvaluating Active Learning Heuristics for Sequential Diagnosis
Given a malfunctioning system, sequential diagnosis aims at identifying the root cause of the failure in terms of abnormally behaving system components. As initial system observations usually do not suffice to determinis…
Active LearningSequential DiagnosisA Generally Applicable, Highly Scalable Measurement Computation and Optimization Approach to Sequential Model-Based Diagnosis
Model-Based Diagnosis deals with the identification of the real cause of a system's malfunction based on a formal system model and observations of the system behavior. When a malfunction is detected, there is usually not…
Sequential DiagnosisInexpensive Cost-Optimized Measurement Proposal for Sequential Model-Based Diagnosis
In this work we present strategies for (optimal) measurement selection in model-based sequential diagnosis. In particular, assuming a set of leading diagnoses being given, we show how queries (sets of measurements) can b…
Sequential DiagnosisScalable Computation of Optimized Queries for Sequential Diagnosis
In many model-based diagnosis applications it is impossible to provide such a set of observations and/or measurements that allow to identify the real cause of a fault. Therefore, diagnosis systems often return many possi…
Sequential DiagnosisSequential Diagnosis by Abstraction
When a system behaves abnormally, sequential diagnosis takes a sequence of measurements of the system until the faults causing the abnormality are identified, and the goal is to reduce the diagnostic cost, defined here a…
DiagnosticSequential DiagnosisA Model-Based Active Testing Approach to Sequential Diagnosis
Model-based diagnostic reasoning often leads to a large number of diagnostic hypotheses. The set of diagnoses can be reduced by taking into account extra observations (passive monitoring), measuring additional variables …
DiagnosticSequential DiagnosisA Comparison of Decision Analysis and Expert Rules for Sequential Diagnosis
There has long been debate about the relative merits of decision theoretic methods and heuristic rule-based approaches for reasoning under uncertainty. We report an experimental comparison of the performance of the two a…
Fault DiagnosisSequential Diagnosis