Machine learning-based mortality risk prediction model for elderly diabetic patients with non-ST-segment elevation myocardial infarction using MIMIC-IV database

database[Title] 2025-12-16

Summary:

Non-ST-elevation myocardial infarction (NSTEMI) in elderly diabetic patients presents unique challenges in risk assessment and prognosis prediction. This study aimed to develop and validate a machine learning-based mortality risk prediction model for this specific population using the MIMIC-IV database. We conducted a retrospective cohort study including 5,272 NSTEMI patients aged ≥ 55 years with diabetes from the MIMIC-IV database. Multiple machine learning models were developed using clinical...

Link:

https://pubmed.ncbi.nlm.nih.gov/41398420/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=12QQbiNmM99eUQGIX1JjHIKcROC1Vzv4sOS-2S_LNI19uG_Yrk&fc=20220129225649&ff=20251216022349&v=2.18.0.post22+67771e2

From feeds:

📚BioDBS Bibliography » database[Title]

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Authors:

Han-Lin Song, Rong Wang, Tie-Ying Shi, Ai-Ming Wang, Qing Xia

Date tagged:

12/16/2025, 02:23

Date published:

12/15/2025, 06:00