heart-disease-clinical-ml
Trustworthy Deep Learning, Graph Neural Networks, Conformal Triage, and Causal Recourse for Cardiovascular Risk & MIMIC-IV Mortality Prediction
What XERJ indexed
Snapshot
The whole repository at commit 5b0b86ed0b (2026-10-28). main is 10 commits ahead.
Selected work
“vectorize GNN/DCA, add multi-core n_jobs parallelism and …”. 8 files, 406 lines in training, evaluation, models.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-30. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
Example questions
- What does training do in heart-disease-clinical-ml?
Inside the indexed corpus
- 163 files, 5.1 MB in total, about 32.1 KB per file.
- The selected commit changed 8 of those files (4.9%).
- On GitHub since 2026-10-28, last push 2026-10-29, 25 commits on main.
- The pin is 10 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for YahyaLendani/heart-disease-clinical-ml on 2026-10-31, and the LICENSE file at commit 5b0b86ed0b was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
yahya lendani (@YahyaLendani) has 3 selected repositories on the hub.
Their other repository pages: YahyaLendani/opus-tuner-claude-skill, YahyaLendani/motionbrief-claude-skills.
Using XERJ with heart-disease-clinical-ml
- RAG without a vector database: one hybrid index The hub files it under AI, prompts and agents.
- Ask questions about a GitHub repo without cloning it
- Index a reference library for a coding agent
- ripgrep vs a code index for coding agents: 30 tasks
The prompt
Paste it into your AI agent. It clones YahyaLendani/heart-disease-clinical-ml at the pinned commit and indexes it on your machine.
Search the GitHub repository YahyaLendani/heart-disease-clinical-ml with XERJ (https://hub.xerj.org/corpus/yahyalendani--heart-disease-clinical-ml). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/YahyaLendani/heart-disease-clinical-ml heart-disease-clinical-ml && git -C heart-disease-clinical-ml checkout 5b0b86ed0ba6f19c4336c206656ee4c3dc85f728 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./heart-disease-clinical-ml --url http://127.0.0.1:9200 --prefix heart-disease-clinical-m --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
yahya lendaniAI, prompts and agents corpora
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.