AIMedLab / clinical-fusionLinks
Code and Datasets for the paper "Combining structured and unstructured data for predictive models: a deep learning approach", published on BMC Medical Informatics and Decision Making in 2020.
☆18Updated 4 years ago
Alternatives and similar repositories for clinical-fusion
Users that are interested in clinical-fusion are comparing it to the libraries listed below
Sorting:
- Predicting cardiovascular heart disease using CNN☆18Updated 4 years ago
- MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis☆25Updated 2 years ago
- ☆24Updated 5 years ago
- This repo is about predicting survival time of a patient using different deep learning techniques. Basically many models were developed b…☆14Updated 5 years ago
- Clinical data fusion☆33Updated 3 years ago
- Early prediction of sepsis with gradient boosting (XGBoost) and deep learning (LSTM and GRU) using MIMIC-III data.☆14Updated 2 years ago
- ☆33Updated 3 years ago
- Clinical decision support - reinforcement learning agent for sepsis treatment in intensive care☆34Updated 7 months ago
- MIMIC preprocessing for the ICML paper "Dynamic Measurement Scheduling for Event Forecasting Using Deep RL"☆19Updated 6 years ago
- using MIMC-III time series data to predict the probability of death.☆9Updated 5 years ago
- ☆12Updated 3 years ago
- Sepsis Prediction on MIMIC☆71Updated 3 years ago
- Sepsis Prediction using Clinical Data (PhysioNet Computing in Cardiology Challenge 2019)☆29Updated 3 years ago
- Predicting ICD Codes from Clinical Notes☆61Updated 4 years ago
- Code for "Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP"☆13Updated last year
- Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression - PyTorch Implementation (NeuroImage 2021)☆18Updated 3 years ago
- data processing code for MIMIC-IV 2.2☆11Updated last year
- Project Repo for CSE6250 Big Data Analytics for Healthcare - Mortality Prediction Model☆26Updated 7 years ago
- A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction☆31Updated 2 years ago
- This is the final project of the CSE6250. We mainly use the MIMIC-III data to predict the sepsis.☆13Updated 6 years ago
- An SQL and Python based implementation of the extraction of sepsis III labels in the MIMIC-III dataset☆8Updated last year
- ☆25Updated 2 years ago
- Implementation of Decision Curve Analysis for Binary Classification☆12Updated 3 years ago
- The DHDR (Digital Health Data Repository) is a repository with sample data for use with the DBDP.☆45Updated last month
- PreOpNet is an ECG-waveform based architecture for prediction of post-operative mortality and MACE☆3Updated 4 months ago
- Implementation of Deep Patient Representation of Clinical Notes at Intensive Care Unit for Multi-Task Prediction☆32Updated 5 years ago
- Predicting Medical Billing Codes (ICD9) from Clinical Notes (in MIMIC-III datasets) using Deep Learning☆26Updated 5 years ago
- Early Prediction of Sepsis from Clinical Time Series Data☆33Updated 5 years ago
- python code for BRLTM model☆13Updated 4 years ago
- A tool developed using python to convert images of ECG's into signals of ECG basically digitize them.☆32Updated 3 years ago