Pei Han

Xining, China

Last Updated: 09/26/2026

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Found 10 publications

Development of an interpretable machine learning model for predicting venous thromboembolism in intensive care unit patients with intracerebral hemorrhage.

Development of an interpretable machine learning model for predicting venous thromboembolism in intensive care unit patients with intracerebral hemorrhage.

Journal: Frontiers in neurology

Published: August 27, 2025

A novel CT-based edema grading system combined with machine learning for precise prognostic prediction in traumatic brain injury.

A novel CT-based edema grading system combined with machine learning for precise prognostic prediction in traumatic brain injury.

Journal: European journal of medical research

Published: July 16, 2025

Giant calcified chronic subdural hematoma adherent to the sagittal sinus: A case report and surgical considerations.

Giant calcified chronic subdural hematoma adherent to the sagittal sinus: A case report and surgical considerations.

Journal: Medicine

Published: June 04, 2025

Corrigendum to: High-Throughput Sequencing Technology Assisted Investigation of the Correlation Between Intestinal Flora, Serum Biochemistry, Blood Lipids, and Tumour Markers in Patients with Gastric Cancer and Healthy Plateau Residents.

Corrigendum to: High-Throughput Sequencing Technology Assisted Investigation of the Correlation Between Intestinal Flora, Serum Biochemistry, Blood Lipids, and Tumour Markers in Patients with Gastric Cancer and Healthy Plateau Residents.

Journal: Combinatorial chemistry & high throughput screening

Published: May 06, 2025

Development and external validation of a nomogram for predicting one-year survival in patients with non-traumatic subarachnoid hemorrhage.

Development and external validation of a nomogram for predicting one-year survival in patients with non-traumatic subarachnoid hemorrhage.

Journal: Frontiers in surgery

Published: April 23, 2025

Machine learning-based prediction of 6-month functional recovery in hypertensive cerebral hemorrhage: insights from XGBoost and SHAP analysis.

Machine learning-based prediction of 6-month functional recovery in hypertensive cerebral hemorrhage: insights from XGBoost and SHAP analysis.

Journal: Frontiers in neurology

Published: April 08, 2025

High-Throughput Sequencing Technology Assisted Investigation of the Correlation Between Intestinal Flora, Serum Biochemistry, Blood Lipids, and Tumour Markers in Patients with Gastric Cancer and Healthy Plateau Residents.

High-Throughput Sequencing Technology Assisted Investigation of the Correlation Between Intestinal Flora, Serum Biochemistry, Blood Lipids, and Tumour Markers in Patients with Gastric Cancer and Healthy Plateau Residents.

Journal: Combinatorial chemistry & high throughput screening

Published: February 10, 2023

Establishment and validation of PTE prediction model in patients with cerebral contusion.

Establishment and validation of PTE prediction model in patients with cerebral contusion.

Journal: Scientific reports

Published: April 22, 2022

Establishment and validation of a prediction model for intraparenchymal hematoma expansion in patients with cerebral contusion: A reliable Nomogram.

Establishment and validation of a prediction model for intraparenchymal hematoma expansion in patients with cerebral contusion: A reliable Nomogram.

Journal: Clinical neurology and neurosurgery

Published: September 12, 2021

Establishment and validation of prognosis model for patients with cerebral contusion.

Establishment and validation of prognosis model for patients with cerebral contusion.

Journal: BMC neurology

Published: August 25, 2021

Showing 1-10 of 10

Last Updated: 09/26/2026