Papers with Code 아카이브
Computational Phenotyping
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
Computational Phenotyping is the process of transforming the noisy, massive Electronic Health Record (EHR) data into meaningful medical concepts that can be used to predict the risk of disease for an individual, or the response to drug therapy.
Source: Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/chl8856/AC_TPC
공식 코드Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
https://github.com/jakeykj/cHITF
공식 코드Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records
https://github.com/luyang-ai4med/popdx
공식 코드https://github.com/minoch/scmtf
공식 코드https://github.com/mostafaalishahi/eICU_Benchmark
공식 코드Benchmarking machine learning models on multi-centre eICU critical care dataset
https://github.com/mostafaalishahi/eICU_Benchmark_updated
공식 코드Benchmarking machine learning models on multi-centre eICU critical care dataset
https://github.com/nch08a/EDVizPhenotyping
공식 코드Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping
https://github.com/ratschlab/HIRID-ICU-Benchmark
공식 코드HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
https://github.com/yerevann/mimic3-benchmarks
공식 코드Multitask learning and benchmarking with clinical time series data
https://github.com/Dongximing/Mimic3
Multitask learning and benchmarking with clinical time series data
https://github.com/DoubleBlindGithub/M3
Multitask learning and benchmarking with clinical time series data
https://github.com/atreyasha/mimic3_benchmarks_occlusion
Multitask learning and benchmarking with clinical time series data
https://github.com/atreyasha/mv-temporal-rgan
Multitask learning and benchmarking with clinical time series data
https://github.com/calvin-zcx/scehr
Multitask learning and benchmarking with clinical time series data
https://github.com/dmitrykazhdan/MEME-RNN-XAI
Multitask learning and benchmarking with clinical time series data
https://github.com/ericxumit/MGH_medical_AI
Multitask learning and benchmarking with clinical time series data
https://github.com/jacobdeasy/flexible-ehr
Multitask learning and benchmarking with clinical time series data
https://github.com/johntiger1/multimodal_fairness
Multitask learning and benchmarking with clinical time series data
https://github.com/zzzace2000/mimic-preprocess
Multitask learning and benchmarking with clinical time series data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.