Machine learning for early detection of sepsis: an internal and temporal validation study

Cited by (109)

Items 101–109 of 109

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2. Preculture Prediction of Neonatal Sepsis Using Machine learning
   C. Ramani Vijay Chelvi, B Shunmugapriya · 2026 · International Conference on Networking and Communications (ICNWC)
3. Utilizing Machine Learning for Diagnostic Assistance of Pediatric Sepsis and Septic Shock in Resource-Limited Settings
   Kaden T. Bunch, Shamsun Nahar Shaima, Gazi Md. Salahuddin Mamun, Sai Gopal Jarabana, Monique Gainey, A Rahman, Alicia E. Genisca, Atin Jindal, Nidhi Kadakia, Monira Sarmin et al. · 2026 · Pediatric Reports
4. Class-Imbalance Aware Sepsis Prediction using ICU Time-Series Data based on a Hybrid CNN–Transformer Architecture with Weighted Binary Cross-Entropy Loss
   J. Adamsmithbhoopathi, S. Gokila · 2026 · International conference Computer Networks and Inventive Communication Technologies
5. From early warning to endotype-guided care in sepsis: A critical narrative review of AI, multi-omics, and clinical translation
   Shengze Wu, Suibi Yang, Jie Yang, Pengmin Zhou, Hongjie Shen, Zhongheng Zhang · 2026 · Intensive Care Science
6. Machine Learning for Early Sepsis Prediction in Intensive Care Units from 2017 to 2021: A Systematic Review of Prediction Horizons, Vital Sign Modalities, and Validation Strategies
   Lucas Meyer, Anna Schmid, Stefan Braun · 2022 · Journal of Artificial Intelligence for Healthcare Systems
7. AI-Based Sepsis Prediction in Hospitalized Adults: Systematic Review, Subgroup Meta-Analysis, and Contextual Analysis of Clinical Burden
   Gyeong-Min Lee, Joo-Yun Won, Eun Young Cho, Ji‐Hyun Kim, Kwang Joon Kim, Yu Seung Lee, Hyun Jun Lee, Jae‐Hyun Kim · 2026 · Journal of Medical Internet Research
8. Machine Learning for Early Sepsis Detection and Mortality Prediction Across Emergency and Critical Care: A Systematic Review and Meta-Analysis
   Muhammad Garba, Ved Prakash Sharma · 2026 · SSRN Electronic Journal
9. AI/ML-enabled sepsis prediction systems: laboratory considerations from development to deployment
   Thomas J S Durant, Zachary Aldewereld, David R. Peaper, Sarah Wheeler · 2026 · Journal of Clinical Microbiology