CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Patients

Multi-Center Study on Deep Learning-Assisted Detection and Classification of Fetal Central Nervous System Anomalies Using Ultrasound Imaging
von: Qi, Yang, et al.
Veröffentlicht: (2025)

OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values
von: Diaz, Christelle Schneuwly, et al.
Veröffentlicht: (2025)

Imputing With Predictive Mean Matching Can Be Severely Biased When Values Are Missing At Random
von: von Hippel, Paul T.
Veröffentlicht: (2025)

Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment
von: Heng, Siyu, et al.
Veröffentlicht: (2023)

A Deep Learning‐Based 3D Ultrasound Analysis for Standard Sagittal Plane Identification: Technical and Clinical Considerations
von: Jiaxin Cai
Veröffentlicht: (2026)

Enhancing Cross‐Platform Generalizability and Clinical Decision‐Making in Deep Learning‐Based Detection of Ultrasound Transducer Uniformity Artifacts
von: Jiaxin Cai
Veröffentlicht: (2026)

No Data? No Problem: Robust Vision-Tabular Learning with Missing Values
von: Hasny, Marta, et al.
Veröffentlicht: (2025)

Clinical Significance of Cycle Threshold (Ct) Values for Predicting COVID‐19 Patient Outcome
von: Sergio Manuel Salas Pacheco, et al.
Veröffentlicht: (2026)

Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation
von: Reza, Md Kaykobad, et al.
Veröffentlicht: (2023)

Severe Degloving Injury with Covid-19 Infection – Successful Outcome and Hard Lessons Learnt
von: Vipin V. Nair
Veröffentlicht: (2021)

The Investigation of the Distribution of ABO/Rh Blood Group in Hospitalized COVID‐19 Patients and Its Association With Disease Severity, Clinical Outcomes, Lab Tests, and Radiologic Findings
von: Abolfazl Zendehdel, et al.
Veröffentlicht: (2025)

Causal Inference with Missing Exposures and Missing Outcomes
von: Landsiedel, Kirsten E., et al.
Veröffentlicht: (2025)

Prognostic Value of Frequent Exacerbations in Bronchiectasis: The Relationship With Disease Severity
von: Martinez-Garcia MÁ, Athanazio R, Gramblicka G, Corso M, Cavalcanti Lundgren F, Fernandes de Figueiredo M, Arancibia F, Rached S, Girón R, Máiz Carro L, de la Rosa Carrillo D, Prados C, Olveira C
Veröffentlicht: (2019)

Nanozymes for Liver Disease Therapy: Advances in Catalytic Activity, Targeting Strategies, and Clinical Translation
von: Xiandi Meng, et al.
Veröffentlicht: (2026)

Integration of SFTSV Viral Load, Age, and Double‐Negative B‐Cells as Prognostic Biomarkers for Severe Fever With Thrombocytopenia Syndrome Outcomes
von: Wei Wei, et al.
Veröffentlicht: (2026)

Parametric MMD Estimation with Missing Values: Robustness to Missingness and Data Model Misspecification
von: Chérief-Abdellatif, Badr-Eddine, et al.
Veröffentlicht: (2025)

Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models
von: Li, Chengao, et al.
Veröffentlicht: (2025)

Proteomic Analysis of Cerebrospinal Fluid from Severe COVID‐19 Patients Reveals Prognostic Biomarkers Associated with Disease Outcome
von: Harry Alexopoulos, et al.
Veröffentlicht: (2026)

Clinical Value of Cerebral Blood Flow Decline and Enlarged Optic Nerve Sheath Diameter With Neurological Outcome After Severe Brain Injury
von: Hua Wang, et al.
Veröffentlicht: (2025)

Algorithmic Recourse with Missing Values
von: Kanamori, Kentaro, et al.
Veröffentlicht: (2023)

Clinical Characteristics and Outcomes of Catheter Ablation in Young Patients With Atrial Fibrillation
von: Xuewen Wang, et al.
Veröffentlicht: (2025)

Missing Value Imputation With Adversarial Random Forests— MissARF
von: Pegah Golchian, et al.
Veröffentlicht: (2026)

The Objective Value of Childrearing
von: Danielle Levitan
Veröffentlicht: (2026)

Model Uncertainty and Missing Data: An Objective Bayesian Perspective
von: García-Donato, Gonzalo, et al.
Veröffentlicht: (2024)

Effective Techniques for Handling Missing Values in Thyroid Disease Diagnosis: A Comparative Analysis
von: Dhekre Saber Saleh, et al.
Veröffentlicht: (2025)

Robust Citrus Disease Diagnosis: A Hybrid CNN Framework for Multi‐Task Classification, Severity Estimation, and Cross‐Species Adaptation
von: Sayma Akter Rupa, et al.
Veröffentlicht: (2026)

User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions
von: Fan, Xianzhe, et al.
Veröffentlicht: (2024)

Effect of Comprehensive Individualised Interventions on the Clinical Outcomes of Patients With Recurrent Implantation Failure: A Single‐Centre Retrospective Cohort Study
von: Yuan Li, et al.
Veröffentlicht: (2025)

HPDL Variant Type Correlates With Clinical Disease Onset and Severity
von: Eun Hye Lee, et al.
Veröffentlicht: (2025)

Asymptotic height of Plancherel random trees
von: Zhang, Shengjun
Veröffentlicht: (2026)

CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
von: Aslam, Saba, et al.
Veröffentlicht: (2024)

Robust and Efficient Deep Hedging via Linearized Objective Neural Network
von: Zhao, Lei, et al.
Veröffentlicht: (2025)

Correction to “Robust Citrus Disease Diagnosis: A Hybrid CNN Framework for Multi‐Task Classification, Severity Estimation, and Cross‐Species Adaptation”
Veröffentlicht: (2026)

Clinical Practice Recommendations on the Effect of COVID‐19 Vaccination Strategies on Outcomes in Solid Organ Transplant Recipients
von: Farid Foroutan, et al.
Veröffentlicht: (2025)

Machine Learning for Missing Value Imputation
von: Ahmad, Abu Fuad, et al.
Veröffentlicht: (2024)

Imputing Missing Values with External Data
von: Thiesmeier, Robert, et al.
Veröffentlicht: (2024)