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Mortality Prediction

2개 벤치마크 · 논문 237편 · 이 태스크의 논문 보기 →

Benchmarks

MIMIC-III

결과 39개

Clinical Admission Notes from MIMIC-III

결과 9개

Most implemented

Multitask learning and benchmarking with clinical time series data

2017-03-22 · 구현 11개

A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care

2022-09-16 · 구현 3개

Efficient nonparametric statistical inference on population feature importance using Shapley values

2020-06-16 · 구현 3개

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration

2024-10-03 · 구현 2개

Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data

2024-09-02 · 구현 2개

MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning

2024-09-02 · 구현 2개

Papers

Beyond Demographic Balance: Multi-Metric and Intersectional Evaluation of Fairness in MIMIC-IV Mortality Prediction

2026-10-01 · Abdullah Al Noman, Fahmid Al Rifat, Tahrima Hashem, Syed Muhammad Ibne Zulfiker 외 arxiv

Fairness conclusions in clinical prediction can depend strongly on both the metrics reported and the demographic resolution at which performance is evaluated. We revisit these evaluation choices for ICU mortality predict…

Mortality PredictionICU Mortality

MMTClinic: Multimodal, Multilingual Time Series Question Answering and Reasoning Benchmark for Clinical Domain

2026-09-04 · Sourav Malakar, Harshit Nigam, Akash Ghosh, Sriparna Saha 외 arxiv

Time-series data in clinical settings is crucial for capturing dynamic changes in a patient's health over time, enabling timely diagnosis, personalized treatment, and early detection of critical events. However, the deve…

Mortality PredictionQuestion Answering

Making Clinical Language Models Auditable: Concept-Guided Fine-Tuning for Robust Prediction

2026-08-27 · Jin Mu, Guanhua Chen arxiv

Clinical language models can achieve strong in-hospital accuracy yet fail under deployment shifts because they exploit note-specific artifacts (e.g., templates, separators, boilerplate) that do not reflect patient state.…

Mortality PredictionText Classification

QuanTiMedAI: Quantum-Enhanced Time-Series Model guided by Agentic AI for Cardiac Arrest Mortality Prediction

2026-08-06 · Mutasim Fuad Sarker, Adiba Rahman Namira, Wafa Binte Alam, Md Adnan Arefeen 외 arxiv

Cardiac arrest remains one of the most lethal conditions encountered in intensive care units. Despite the growing availability of electronic health record data, existing mortality prediction studies in this population la…

Mortality Prediction

Learning the Pareto Frontier of Predictive Models under Distribution Shift

2026-08-01 · Yiming Dong, Jiwei Zhao, Yang Young Lu arxiv

Modern machine learning pipelines increasingly rely on reusing pretrained and foundation models across downstream tasks. These pretrained models can differ not only in performance but also in how they can be used: some o…

Mortality PredictionDomain Adaptation

A Personalized Computational Framework for Assessing the Sufficiency of Partially Observed Data in Healthcare AI models

2026-07-10 · Qingchu Jin, Felistas Mazhude, Jamie B. Rabb, Robert S. Kramer 외 arxiv

Achieving early and timely diagnosis and treatment for disease is a major challenge. Recent applications of machine learning (ML) algorithms trained on patient data have shown promise in many different settings for predi…

Mortality Prediction

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