amine-mih-dev

integrated-ehr-pipeline

USTHB-Thesis

A thesis template adapted for Algeria university's requirements (specially USTHB).

awesome-multimodal-healthcare

Reading list for multimodal learning in healthcare

ICU-patient-subgroups

Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?

REMed

REMed: Retrieval-Enhanced Medical prediction model

CPLLM

ICD10-Unsupervised-Feature-Selection

Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning

PLM-ICD-multi-label-classifier

A multi-label classifier based on PLM-ICD paper

ICD-BERT

ICD-BERT: Multi-label Classification of ICD-10 Codes with BERT (CLEF 2019)

Med-BERT

Med-BERT, contextualized embedding model for structured EHR data

BEHRT

Code for BEHRT: Transformer for Electronic Health Records

MEME

[2024] Multiple Embedding Model for EHR (MEME) used for strong prediction on Emergency Department tasks

MedPromptX

MultiModN

MultiModN – Multimodal, Multi-Task, Interpretable Modular Networks (NeurIPS 2023)

MedFuse

MIMIC-IV-Data-Preparation

Tutorial on processing raw EHR data with MIMIC-IV dataset

AnnoDash

A clinical terminology annotation dashboard created using Plotly Dash & the MIMIC-IV database.

pytorch-attention

🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥

pytorch-template

PyTorch deep learning projects made easy.

vision

Datasets, Transforms and Models specific to Computer Vision

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

ECG-wavelet-feature-extraction

ECG wavelet feature extraction

FusingTransformerModelwithTemporalFeaturesforECGHeartbeatClassification

ECG-feature-extraction-using-DWT

Haar wavelet based Discrete wavelet transform for ECG feature extraction in Verilog

ECG-Feature-extraction-using-Python

Extraction of ECG data features (hrv) using python

EEG-Transformer

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

DeepLearning

深度学习、强化学习、模仿学习与机器人

multitask-vision-ecg

Application for 12-lead ECG prediction and questionnaire. Demo website ↓

mimic2ts

Generate time series data from MIMIC IV

MIMIC-IV-ICD-data-processing