-
- [ ] Review the high level classification of ‘cancer or benign tumor’ and ‘neoplastic disease or syndrome’ and ensure the classifications make sense
- [ ] make cancer and predisposition to cancer di…
-
## 💥 Proposal
I propose implementing multiple machine learning algorithms, including Support Vector Machines (SVM), k-Nearest Neighbors (KNN), and Random Forest, for heart disease classification. T…
-
Bonjour @julibinho @SamuelLlm @NataliyaSokolovska
I have a question for some clear aims of our project,
I've thought that the purpose is to see common significant results of both clustering with…
-
I trained a model for skin disease image binary classification using a pre-trained ViT model with VPT. However, after training, my accuracy only reached 60%, and the loss remained at 0.6, unable to fu…
-
Hi, my current simple considerations are:
After performing plink quality control on the data, extract SNPs (or use known disease-related SNPs) based on disease-related genes, and then use SNPs for fe…
-
- [X] I have searched the existing issues
## Feature Description
### HeartBeat Classification using ECG
This project focuses on developing a system for classifying heartbeats using Electr…
-
# ORPHAcodes
## Background
Rare diseases include approximately 5,000 to 8,000 distinct conditions. Their prevalence is less than 1 in 2,000 individuals in the European Union and less than 1 in 1…
-
Part of https://github.com/monarch-initiative/mondo/issues/7362
Focussing on Table 1.
Spreadsheet to use is here: https://docs.google.com/spreadsheets/d/1PY5b4urSuz3tPvEjWflzV3R-up5OJTapzxB_rD3Nw…
-
explodes https://github.com/related-sciences/nxontology-ml/issues/35#issuecomment-1766560619
We currently ignore non-diseases, by only training and predicting on terms that are diseases as per [`ge…
-
Need to add in what the final conclusion will be for the heart disease project - binary classification results & model choice etc