ai-gone-astray
importedsoftware/ai-gone-astray
Code for "AI Gone Astray: Technical Supplement", which investigates the effect of time drift on clinically deployed machine learning models
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- arxiv.org/abs/2203.16452
- Repository
- github.com/mariehane/ai-gone-astray
- Documentation
- unknown
- Tags
- deep-learning · ehr · machine-learning · sepsis
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
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Virulent infectious agents such as SARS-CoV-2 and Methicillin Resistant Staphylococcus Aureus (MRSA) induce tissue damage that recruits neutrophils and monocyte/macrophages that promote T cell…
Abstract Background: Cardiopulmonary bypass generates an exacerbated response that may lead to sepsis Objective: To describe the association between procalcitonin levels and sepsis diagnosis in…
- abdm-rubyehr
EHR systems integrate with ABHA and ABDM, enabling seamless access to patient records and improving healthcare services in India through effective EHR integration.
Chat with your medical records on your iPhone or iPad—an Apple HealthKit App powered by on-device LLM
- apiehr
APIs para ANDES
Electronic Health Record (EHR) and Electronic Medical Record (EMR) systems. However, they still face some issues regarding the security of medical records, user ownership of data, data integrity…
- api.github.com/repos/mariehane/ai-gone-astrayretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-03-31, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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