home-care duration prediction by machine learning
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Updated
Jul 8, 2019 - Jupyter Notebook
home-care duration prediction by machine learning
This is a simple neural network model trainer, (first named tensor dumbass), that is specially designed for medical AI and ease of use. Note that this code is specially created to work with larger tasks for classification tasks and some generative tasks. Furthermore this code is mainly aimed to help to cure cancer using Crisper technologies.
Comparison of Feature Extraction techniques for COVID19 diagnosis of CT scans.
Chinese-Medical-Question-Answering-Data
This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.
A pharmacokinetic model for predicting propofol concentration in a patient's body
Machine Learning based Diabetes Detection
GPT2-774M model, fine-tuned on all public information and papers (up to 2021) related to Chronic Fatigue Syndrome/Myalgic Encephalomyelitis
Create a medical imaging application based on different DL models.
AI Medical Scribe / Medical Notes AI App for Android & IOS available for a very low cost!
AI application on Django 2 - "MedRadService"
Automated pipeline for Multi-Variate Time Series AI in medical longitudinal analysis, following FAIRness principle.
This repository aims to present a general, customazible pipeline for MRI images based on a single configuration file (in .json format) that has different flags and according to them, a certain pre-processing procedure with desired steps is performed.
An AI system that can detect and localise pathologies exists in human Chest X-Rays.
On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness
⛏️A collection of tools and practices for image registration. | 图像配准的工具和实践集合
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