Copertina

Interpretable Machine Learning for Antepartum Prediction of Pregnancy-Associated Thrombotic Microangiopathy Using Routine Longitudinal Laboratory Data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sun, Chuanchuan, Yu, Zhen, Fan, Qin, Chen, Qingchao, Yu, Feng
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Postpartum Readmission for Pregnancy‐Associated Thrombotic Microangiopathy Is Associated With Poor Maternal Outcomes
di: Alexandre Soares Ferreira Junior, et al.
Pubblicazione: (2026)

Assessing the Feasibility of Early Cancer Detection Using Routine Laboratory Data: An Evaluation of Machine Learning Approaches on an Imbalanced Dataset
di: Li, Shumin
Pubblicazione: (2025)

Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning
di: Si, Yong, et al.
Pubblicazione: (2025)

scDD: Latent Codes Based scRNA-seq Dataset Distillation with Foundation Model Knowledge
di: Yu, Zhen, et al.
Pubblicazione: (2025)

Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data
di: Li, Tinghuan, et al.
Pubblicazione: (2025)

The Clinical Presentation of Thrombotic Microangiopathy
di: Guliko Kiliptari, et al.
Pubblicazione: (2025)

PatchCTG: Patch Cardiotocography Transformer for Antepartum Fetal Health Monitoring
di: Khan, M. Jaleed, et al.
Pubblicazione: (2024)

Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach
di: Sun, Li, et al.
Pubblicazione: (2025)

Prediction by Machine Learning Analysis of Genomic Data Phenotypic Frost Tolerance in Perccottus glenii
di: Fan, Lilin, et al.
Pubblicazione: (2024)

Efficacy and Safety of Rituximab in Connective Tissue Disease‐Associated Thrombotic Thrombocytopenic Purpura/Thrombotic Microangiopathy
di: Naoaki Ohkubo, et al.
Pubblicazione: (2025)

Interpretable Machine Learning Model for Early Prediction of Acute Kidney Injury in Critically Ill Patients with Cirrhosis: A Retrospective Study
di: Sun, Li, et al.
Pubblicazione: (2025)

Interpretability of Statistical, Machine Learning, and Deep Learning Models for Landslide Susceptibility Mapping in Three Gorges Reservoir Area
di: Chen, Cheng, et al.
Pubblicazione: (2024)

Predicting Chest Radiograph Findings from Electrocardiograms Using Interpretable Machine Learning
di: Matejas, Julia, et al.
Pubblicazione: (2025)

Prediction of Respiratory Syncytial Virus-Associated Hospitalizations Using Machine Learning Models Based on Environmental Data
di: Guo, Eric
Pubblicazione: (2025)

A Machine Learning Approach to Predict Biological Age and its Longitudinal Drivers
di: Dunbayeva, Nazira, et al.
Pubblicazione: (2025)

Towards Public Administration Research Based on Interpretable Machine Learning
di: Liu, Zhanyu, et al.
Pubblicazione: (2026)

ML4EJ: Decoding the Role of Urban Features in Shaping Environmental Injustice Using Interpretable Machine Learning
di: Ho, Yu-Hsuan, et al.
Pubblicazione: (2023)

Outcomes of Early Thrombotic Microangiopathy in Renal Transplantation
di: Girish K. Mour, et al.
Pubblicazione: (2024)

Renal Thrombotic Microangiopathy due to Hypertensive Emergency
di: Evan Perona, et al.
Pubblicazione: (2025)

Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
di: Yang, Hanxuan, et al.
Pubblicazione: (2024)

Using Synthetic Data for Machine Learning-based Childhood Vaccination Prediction in Narok, Kenya
di: Bach, Jimmy, et al.
Pubblicazione: (2026)

Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory
di: Rahman, Monibor, et al.
Pubblicazione: (2024)

Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices
di: Li, Hangyu, et al.
Pubblicazione: (2025)

Interpretable Machine Learning for Weather and Climate Prediction: A Survey
di: Yang, Ruyi, et al.
Pubblicazione: (2024)

Predicting Gene Disease Associations in Type 2 Diabetes Using Machine Learning on Single-Cell RNA-Seq Data
di: Toledo, Maria De La Luz Lomboy, et al.
Pubblicazione: (2026)

Predicting Multi-Type Talented Students in Secondary School Using Semi-Supervised Machine Learning
di: Zheng, Xinzhe, et al.
Pubblicazione: (2025)

Machine Learning-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database
di: Chen, Shuheng, et al.
Pubblicazione: (2025)

Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning
di: Bertsimas, Dimitris, et al.
Pubblicazione: (2024)

Deep Clustering Survival Machines with Interpretable Expert Distributions
di: Hou, Bojian, et al.
Pubblicazione: (2023)

Learning Longitudinal Health Representations from EHR and Wearable Data
di: Zhang, Yuanyun, et al.
Pubblicazione: (2026)

A Deep Latent Space Model for Graph Representation Learning
di: Yang, Hanxuan, et al.
Pubblicazione: (2021)

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration
di: Mozannar, Hussein, et al.
Pubblicazione: (2023)

Metabolomic Biomarker Discovery for ADHD Diagnosis Using Interpretable Machine Learning
di: Belacel, Nabil, et al.
Pubblicazione: (2026)

Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data
di: Strobl, Eric V.
Pubblicazione: (2025)

CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor
di: Ji, Han, et al.
Pubblicazione: (2025)

High-Fidelity Longitudinal Patient Simulation Using Real-World Data
di: Akagi, Yu, et al.
Pubblicazione: (2026)

Interpretable Machine Learning for Quantum-Informed Property Predictions in Artificial Sensing Materials
di: Chen, Li, et al.
Pubblicazione: (2026)

SHAPCA: Consistent and Interpretable Explanations for Machine Learning Models on Spectroscopy Data
di: Zhang, Mingxing, et al.
Pubblicazione: (2026)

Diabetes Prediction Using Machine Learning
di: GOKUL, BESTHA, et al.
Pubblicazione: (2025)

Predicting The Cop Number Using Machine Learning
di: Mann, Meagan, et al.
Pubblicazione: (2026)