# Interpretable machine learning model for new-onset atrial fibrillation prediction in critically ill patients: a multi-center study

*PRI Rank #8 · Topics and Trends in Most Cited Atrial Fibrillation Management and Outcomes Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/atrial-fibrillation-management-and-outcomes/2026/rank-8*

| Field | Value |
| --- | --- |
| Rank | #8 |
| 18m citations | 101 |
| Journal | Critical Care |
| Year | 2024 |
| DOI | 10.1186/s13054-024-05138-0 |
| Corresponding authors | Jingchao Lu, Bing Xiao |
| Institution | The Second Hospital of Hebei Medical University, China |

**Ranking page:** [Topics and Trends in Most Cited Atrial Fibrillation Management and Outcomes Papers, Class of 2026](https://pri.pepkio.com/top-papers/atrial-fibrillation-management-and-outcomes/2026)

**Paper link:** [10.1186/s13054-024-05138-0](https://doi.org/10.1186/s13054-024-05138-0)

## Topics

Incident atrial fibrillation · Critically ill patients · MIMIC-IV database · MIMIC-III database · LASSO regression · Feature selection · XGBoost · SHapley Additive exPlanations (SHAP) · Machine learning prediction model · external validation · Area under the curve · Model calibration · Clinical decision support interface · Mechanical ventilation · Urine output · Sepsis · Blood urea nitrogen · Percutaneous arterial oxygen saturation · Continuous renal replacement therapy · Risk stratification threshold

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Atrial Fibrillation Management and Outcomes Papers, Class of 2026. https://pri.pepkio.com/top-papers/atrial-fibrillation-management-and-outcomes/2026. Accessed 2026-07-14.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```