Coronavirus pneumonia

Presepsin Predicts Severity and Secondary Bacterial Infection in COVID-19 by Bioinformatics Analysis

Genetic algorithm based image reconstruction applying the digital holography process with the Discrete Orthonormal Stockwell Transform technique for diagnosis of COVID-19

Novel Coronavirus and Common Pneumonia Detection from CT Scans Using Deep Learning-Based Extracted Features

딥 러닝 기반 추출 기능을 사용하여 CT 스캔에서 신종 코로나바이러스 및 일반적인 폐렴 감지

Correlation Analysis of Positive Therapy Based on High Content Image Analysis Technology on Posttraumatic Nerve Growth in Patients with COVID-19 in the Context of Intelligent Medical Treatment

Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

Potential Material Basis of Yupingfeng Powder for the Prevention and Treatment of 2019 Novel Coronavirus Pneumonia: A Study Involving Molecular Docking and Molecular Dynamic Simulation Technology

2019년 신종 코로나바이러스 폐렴의 예방 및 치료를 위한 Yupingfeng 분말의 잠재적 재료 기반: 분자 도킹 및 분자 동적 시뮬레이션 기술 관련 연구

XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers

COVID-19 신규 진단 마커 마이닝을 위한 XGBoost 기반 기능 학습 방법

Systems pharmacology-based drug discovery and active mechanism of natural products for coronavirus pneumonia (COVID-19): An example using flavonoids

Integrated hepatic single-cell RNA sequencing and untargeted metabolomics reveals the immune and metabolic modulation of Qing-Fei-Pai-Du decoction in mice with coronavirus-induced pneumonia

통합 된 간 단일 세포 RNA 시퀀싱 및 표적화되지 않은 대사체는 코로나 바이러스-유도 폐렴과 마우스에서 Qing-Fei-Pai-Du 달인의 면역 및 대사 조절을 보여준다.

Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine

혈액 가스 분석 매개변수와 Harris hawks에 최적화된 익스트림 러닝 머신을 사용하여 COVID-19 심각도 감지