Multimorbidity

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1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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Patient-Centered Treatment Planning for Chronic Multimorbidity: A Hierarchical Reinforcement Learning Framework for Preference Modeling
Sep 30, 2026Nafiseh Payani, Soham Das, G. Anthony Wilson +1Multimorbidity Treatment
Department of Industrial and Systems Engineering at the University of Tennessee, Knoxville, TN, USA · Department of Industrial Engineering at the University of Arkansas, Fayetteville, AR, USA
CLIMB: A Clinical Multimorbidity Benchmark for Diagnosing Co-occurring Conditions through Multiturn Conversations
Sep 28, 2026Yusuf Kesmen, Aniruddha Mukherjee, Yena Chang +7Multimorbidity Clinical Decision Support
EPFL · Aarhus University
Physiologically Informed Digital Auscultation for Pneumonia Detection in Long-term Care Residents
Sep 23, 2026Nicholas Rasmussen, Oleg Zaslavsky, Zih-Ling Wang +5Respiratory Sound Classification Multimorbidity
Biobehavioral Nursing & Health Informatics, School of Nursing, University of Washington, 1959 NE Pacific St, Seattle, WA, USA. · School of Nursing, University of Washington, 1959 NE Pacific St, Seattle, WA, USA. · Electrical Engineering, University of Washington Bothell, 17827 113th Ave NE, Bothell, WA, USA. +2
Coupled Graph--Policy Distillation for Personalized Medication Safety in Older Adults with Multimorbidity
Aug 10, 2026Zihan Wang, Anglin Liu, Rongyi Wang +6Medication Leaflet Multimorbidity
1Artificial Intelligence Thrust, The Hong Kong University of Science and Technology (Guangzhou) · Faculty of Engineering, University of New South Wales · 3Medical Big Data Center, Guangdong Provincial People’s Hospital, Southern Medical University +2
GRAIN: Molecules Are Not the Right Granularity -- Active-Ingredient Modeling for Safe Medication Recommendation
Jul 30, 2026Juao Fan, Jinhan Li, Shengxin ZhuMedication Leaflet Drug-Drug Interactions
Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Beijing Normal–Hong Kong Baptist University, Zhuhai, China
Loss Invariance Determines What Concept Layers Encode: Volume Grounding in Echocardiography
Jul 28, 2026Hyunkyung Han, Min Jung KimLeft-Ventricular Ejection Fraction Cardiac Motion
Department of Integrative Medicine, Yonsei University College of Medicine, Seoul 06273, Republic of Korea
Context-Adaptive Inference: A Unified Statistical and Foundation-Model View
Jul 25, 2026Yue Yao, Caleb N. Ellington, Jingyun Jia +9Parameter-Efficient Adaptation In-Context Learning
Department of Statistics, University of Wisconsin-Madison · Computational Biology Department, Carnegie Mellon University · Department of Computer Science, Yale University +5
Multimodal Domain Generalization for Depression Detection: An Attention-Based BiLSTM Network with Domain-Adversarial Training
Jul 24, 2026Ali Tabaraei, Federico Simonetta, Stavros NtalampirasDepression Multimodal Deep Learning
Department of Computer Science, University of Milan, Milan, Italy · Computer Science Department, Gran Sasso Science Institute (GSSI), L’Aquila, Italy
Context-Aware Optimization of Follow-Up Intervals for Type 2 Diabetes Care Using Markov Decision Processes
Jun 17, 2026Parisa Lotfibagha, Kristen Miller, William J. Gallagher +2Diabetes Multimorbidity
University of Massachusetts Amherst, United States · MedStar Health Center for Diagnostic Systems Safety, United States · National Center for Human Factors in Healthcare, MedStar Health Research Institute, United States +2
A Machine-Learned Comorbidity Index
Jun 16, 2026Suleman Baloch, Kishlay Jha, Alberto M. Segre +2Multimorbidity Logistic Regression
Department of Computer Science, University of Iowa, Iowa, USA · Department of Electrical and Computer Engineering, University of Iowa, Iowa, USA · Department of Internal Medicine, University of Iowa, Iowa, USA
Semantic Reasoning in Medicine: The Role of Knowledge Graphs Across Five Key Domains
Jun 13, 2026Haniye Sherafatmandjoo, Mohammad Akbari, Zahed RahmatiBiomedical Knowledge Graph Knowledge Graphs
Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran
A prior-free blind detection of information leakage from model predictions
Jun 9, 2026Laurence A. JacobsLeakage Data Leakage
Center for Molecular Cardiology, University of Zurich, Zurich, Switzerland · Center for Complexity Sciences, National University of Mexico, Mexico City, Mexico
Developing a novel Comorbidities Index for predicting 10-year mortality in Prostate Cancer patients: A computational data-driven approach
May 29, 2026Davide Farinati, Francesco Barletta, Paolo Zaurito +6Survival Predictions Multimorbidity
Vita-Salute San Raffaele University, Milan, Italy Comprehensive Cancer Center/Unit of Urology; URI; IRCCS Ospedale San Raffaele, Milan, Italy · School of Biomedical Engineering & Imaging Sciences, King’s College London, London, UK · Department of Urology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
Learning Interpretable Point-Based Clinical Risk Scores via Direct Optimization
May 18, 2026Ying Cui, Albert M Li, Vivek Charu +3Risk Stratification Multimorbidity
Department of Biomedical Data Science, Stanford University · Decatur High School · Department of Pathology, Stanford University School of Medicine +1
GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models
May 3, 2026Favour Nerrise, Lucy Yin, Mohammad H. Abbasi +2Improving Sparse Autoencoders Biomarker
Stanford University · Stanford University, CA
Generative Drifting for Conditional Medical Image Generation
Apr 21, 2026Zirong Li, Siyuan Mei, Weiwen Wu +3Medical Image Generation Text-Conditioned Diffusion Model
Department of Orthodontics and Orofacial Orthopedics, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany · Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany · Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany +1
Neuro-Symbolic Resolution of Recommendation Conflicts in Multimorbidity Clinical Guidelines
Apr 19, 2026Shiyao Xie, Jian DuMultimorbidity Neuro-Symbolic Framework
Peking University, National Institute of Health Data Science Beijing, CN · Peking University Health Science Center, Institute of Medical Technology Beijing, CN

Sep 30, 2026, cs.LGJ/K move · Enter open · S save

Patient-Centered Treatment Planning for Chronic Multimorbidity: A Hierarchical Reinforcement Learning Framework for Preference Modeling

Nafiseh Payani, Soham Das, G. Anthony Wilson, Anahita Khojandi

Department of Industrial and Systems Engineering at the University of Tennessee, Knoxville, TN, USA · Department of Industrial Engineering at the University of Arkansas, Fayetteville, AR, USA

Multimorbidity Treatment Hierarchical Reinforcement Learning Preference Alignment Learning Cooperation Radiotherapy

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Patient preference, defined as a patient's demonstrated willingness and capacity to adhere to clinical recommendations, is a primary determinant of therapeutic effect yet remains structurally absent from existing computational treatment planning models. We address this gap by presenting patient-centered factored-action hierarchical option-critic (FAHOC), a hierarchical reinforcement learning (HRL) framework that jointly learns high-level options corresponding to therapeutic strategies and factored intra-option policies that decompose the joint action space into disease- and intervention-specific subcomponents, while imposing a cooperation-aware action masking mechanism. This enables structured exploration, improved credit assignment across hierarchy levels, and more interpretable decision pathways, while enforcing patients' preferences. Formal guarantees establish that cooperative patients achieve higher optimal expected health outcomes than non-cooperative patients, and that the factored Q-function approximation error is provably bounded. The framework is evaluated using longitudinal data collected from approximately 50,000 comorbid hypertension and type 2 diabetes mellitus patients from five hospitals in the Southeast U.S. FAHOC achieves a quality-adjusted life year expectancy equivalent improvement of 0.669 (vs -0.133 observed clinician practice), correctly identifies cooperative patients in 95.9% of cases and never violates a patient's preference in held-out test, demonstrating that HRL with explicit preference constraints can support preference-consistent, clinically safe decision-making in multimorbidity management.

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