Team J-SCAMP's project for BioDataHack. Repurposing drugs through unsupervised machine learning.
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Updated
Jul 7, 2018 - Python
Team J-SCAMP's project for BioDataHack. Repurposing drugs through unsupervised machine learning.
NLP and KMeans Clutering implemented in Scala
Vrittik ka ML
chat bot for disease classification
Code for the Knowledge distillation work to enhance fine grained disease recognition.
Multi-Label Image Classification of Chest X-Rays In Pytorch
Respiratory system diagnosis
Predict your diseases based on the symptoms provided And Image Processing technique is used to predict the skin cancer
Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting state functional magnetic resonance imaging (rs-fMRI) data. 18 different popular classifiers are presented. With slight modifications, it can also be used for any classification problem using any set of features.
Leaf disease detection using image segmentation
Machine learning techniques can be used to overcome these drawbacks which are cause due to the high dimensions of the data. So in this project I am using machine learning algorithms to predict the chances of getting cancer.
A Disease-Symptoms Network and a system that predicts diseases from symptoms using a decision tree classifier.
Web App for Plant Disease Detection using Tensorflow and streamlit
Smart Health Predictor with Data Mining using Php, Mysql. Which can predict the disease based on Input Symptoms and Lab Sample.
Using CNN, DNN and augumented linear output to build three different neural network models to classify the chest diseases from Xrays, numeric inputs and also projecting the prognosis period measure.
Thyroid Disease Classification using Ultrasound Images
Plant disease classification using deep neural network
A simple convolutional neural network (CNN) to classify ten different types of leaf diseases in tomatoes using Deep Learning frameworks and libraries.
Deep Learning and AI Enthusiasts to contribute to improving COVID-19 detection using just Chest X-rays.
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