teamUBUNTU's repositories
Doc-Assist-BOT
A disease prediction model that predicts the disease from the symptoms
clicr
Machine reading comprehension on clinical case reports
COVID-19
Modelling the disease spread
Disease-Prediction-from-Symptoms
Disease Prediction based on Symptoms.
gossis
Extracting consistent concepts from multiple databases
Heart-Disease-Analysis-and-Prediction
Heart Disease Analysis repository
Heart-Disease-Prediction
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
hetionet
Hetionet: an integrative network of disease
HumanDiseaseOntology
Repository for the Human Disease Ontology.
acl20-ref-free-eval
SUPERT: Unsupervised multi-document summarization evaluation & generation
DeepEHR
Chronic Disease Prediction Using Medical Notes
DeepReg
Medical image registration using deep learning
discovering-disease-outbreaks-base
Starter repository for Manning PBC: Discovering and Tracking Disease Outbreaks with Data Science and Python
disease-info
Repo for disease info; a health information data scrapper. Raw data from the scrapper's API is displayed in JSON -
disease_Scraper
It is used to scrape the website malacards for diseases and their symptoms.
DiseaseClassifier
Using a Naive Bayes Classifier gets possible diseases from symptoms
ecg-mit-bih
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, https://www.nature.com/articles/s41591-018-0268-3 and also deploy the trained model to a web app using Flask, introduced at
EpiModel
Mathematical Modeling of Infectious Disease Dynamics
healthcare_ml
A curated list of ML|NLP resources for healthcare.
Heart-Disease-Prediction-1
Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease
mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
PathogenTransmissionOntology
The Pathogen Transmission Ontology describes the tranmission methods of human disease pathogens describing how a pathogen is transmitted from one host, reservoir, or source to another host. The pathogen transmission may occur either directly or indirectly and may involve animate vectors or inanimate vehicles. The Pathogen Transmission Ontology is available under CC0 license (https://creativecommons.org/publicdomain/zero/1.0/).
PyHealth
A Python Library for Healthcare AI
pytorch-flask-deploy-webapp
This is a Flask + Docker deployment of the PyTorch-based Named Entity Recognition (NER) Model (BiLSTM-CRF) in the Medical AI.
realworld
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more 🏅
scisumm-corpus
Scientific Document Summarization Corpus and Annotations from the WING NUS group.
symptom-disease
Finds out symptoms similar to a given symptom, from a symptom-disease data set.
SymptomOntology
The symptom ontology was designed around the guiding concept of a symptom being: “A perceived change in function, sensation or appearance reported by a patient indicative of a disease”. Understanding the close relationship of Signs and Symptoms, where Signs are the objective observation of an illness, the Symptom Ontology will work to broaden it’s scope to capture and document in a more robust manor these two sets of terms. Understanding that at times, the same term may be both a Sign and a Symptom. The Symptom Ontology is available under CC0 license (https://creativecommons.org/publicdomain/zero/1.0/).
tapas
End-to-end neural table-text understanding models.