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Updated: Jan 17, 2026

Author Spotlight: Advancing Pathogen Detection and Disease Assessment in Real-Time Using M-ROSE
Published on: March 1, 2024
Clinical Assessment of Pneumocystosis with MIMIC Data
Huanfei Wang1, Qian Zhu2, Jian Pei3
1Pratt School of Engineering, Duke University, Durham, USA.
Abstract:
Pneumocystosis remains a life-threatening disease with a high mortality rate. It's critical to understand its clinical course and risk factors for better disease management. In this retrospective analysis, we aimed to elucidate the prognostic determinants of in-hospital mortality among patients diagnosed with pneumocystosis. Data were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database, encompassing all recorded cases of pneumocystosis. The dataset included patient admission records, comprehensive laboratory results, and medication administration data, which were meticulously analyzed to identify relevant features. Employing logistic regression and random forest, we discerned that the administration of micafungin sodium and vasopressin have significant impacts as risk factors on the survival rate of pneumocystosis patients.
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