Papers with Code 아카이브

Mortality Prediction

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하위 태스크: 1
평가표: 2
보존된 평가 기록: 16

<span style="color:grey; opacity: 0.6">( Image credit: Early hospital mortality prediction using vital signals )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/BoulderDS/value-of-medical-notes

공식 코드

Characterizing the Value of Information in Medical Notes

https://github.com/DIAL-RPI/KAMP-Net

공식 코드

Knowledge-based Analysis for Mortality Prediction from CT Images

https://github.com/EmmaRocheteau/eICU-LoS-prediction

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Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit

https://github.com/HodaMemar/Patient-Similarity-through-Representation

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A Study into patient similarity through representation learning from medical records

https://github.com/MLforHealth/MIMIC_Generalisation

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Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks

https://github.com/MaastrichtU-CDS/federated-brain-age

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

https://github.com/RezaSadeghiWSU/Early-Hospital-Mortality-Prediction-using-Vital-Signals

공식 코드

Early hospital mortality prediction using vital signals

https://github.com/USC-Melady/Benchmarking_DL_MIMICIII

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Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets

https://github.com/accountable-machine-intelligence/aicare

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Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset

https://github.com/alceballosa/clin-robust

공식 코드

Open (Clinical) LLMs are Sensitive to Instruction Phrasings

https://github.com/ashkanpakzad/atn

공식 코드

Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis

https://github.com/ayanglab/dmib

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Dynamic Multimodal Information Bottleneck for Multimodality Classification

https://github.com/blancavazquez/Riskmarkers_ACS

공식 코드

Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: a machine learning approach

https://github.com/bvanaken/clinical-outcome-prediction

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Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration

https://github.com/calvin-zcx/scehr

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SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records

https://github.com/cleverhans-lab/decaph

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Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data

https://github.com/dmitrykazhdan/MEME-RNN-XAI

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MEME: Generating RNN Model Explanations via Model Extraction

https://github.com/elleros/DSHealth2019_loinc_embeddings

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Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center

https://github.com/g2lab/pcfbl

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Privacy-preserving patient clustering for personalized federated learning

https://github.com/gloewing/oec

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Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation

https://github.com/hestiri/mlho

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Individualized Prediction of COVID-19 Adverse outcomes with MLHO

https://github.com/inesamar/pulseoxbias

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Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking

https://github.com/information-fusion-lab-umass/multiwave

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MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction

https://github.com/ipolharvard/ethos-paper

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Zero Shot Health Trajectory Prediction Using Transformer

https://github.com/iskandr/fancyimpute

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Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction

https://github.com/jmdvinodjmd/coper

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COPER: Continuous Patient State Perceiver

https://github.com/jonathancrabbe/simplex

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Explaining Latent Representations with a Corpus of Examples

https://github.com/jornjan/mmshap-xai2024

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Feature importance to explain multimodal prediction models. A clinical use case

https://github.com/kaggarwal/ClinicalNotesICU

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Using Clinical Notes with Time Series Data for ICU Management

https://github.com/king-huoye/bibm-2024

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IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities

https://github.com/kingrc15/multimodal-clinical-pretraining

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Multimodal Pretraining of Medical Time Series and Notes

https://github.com/li-lab-mcgill/mixehr-surg

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MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records

https://github.com/lixingqiao/xai-icu

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XAI for In-hospital Mortality Prediction via Multimodal ICU Data

https://github.com/mcGill-NLP/medal

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MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining

https://github.com/mh2t/COVID_Forecasting_Using_eX_Vars

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Improving COVID-19 Forecasting using eXogenous Variables

https://github.com/microsoft/horseshoe-bnn

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Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

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