Awesome List of Digital and Computational Pathology Resources
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Updated
Nov 11, 2024
Awesome List of Digital and Computational Pathology Resources
Create a Web Application for HealthoTech Club for VIT'B
The Power BI projects are there
This is a stress-relieving website project made for the hackathon Hackofiesta. This project is under the theme Healthcare.
Explore our open-source repository focused on healthcare machine learning. We've developed predictive models for cardiovascular disease, diabetes, breast cancer, and more. Our projects employ diverse machine learning algorithms and data science techniques, enhancing early detection, diagnosis, and patient outcomes.
EHR Management Using Blockchain
Machine Learning in Genomics and Healthcare (COMP 565) Project
Welcome to the NACSCOP Data Collection Tools - Indicator Selection Model repository! This project aims to provide an unbiased approach to select the appropriate indicator for data collection and reporting during the transition period when two sets of tools are in use.
"Revolutionizing healthcare for gender minorities, one inclusive provider at a time."
uBER for AMbulance
A android app designed to assist the caregiver of the elderly in their work and in their self care
Predict 42 common diseases based on any 5 prominent symptoms among the 132 common symptoms given in the dataset. Get to know if you are affected with Malaria using your red blood cell image, among two classes: Infected and Uninfected. Classify the brain MRI reports into 4 classes: Glioma, Meningioma, Pituitary and No-Tumour. Later Segment the br…
Liver Disease prediction using binary classification such as SVM, ANN, or Random Forest. Generate missing data using the MICE algorithm. Use SMOTE to oversample minority class to reduce biases towards majority class. ROC analysis and k-fold Cross-validation Hypothesis tests were done. Data Source: UCI Machine Learning Repository
This is an example to demonstrate Amazon SageMaker Data Wrangler capabilities. The workshop showcases entire ML workflow steps for Diabetic Patient Readmission Dataset from UCI.
📐 Dr Kaddioui's personal website. Built from https://mmistakes.github.io/minimal-mistakes/.
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