Last Posted: Jun 28, 2022
- A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile.
Hong Wandong, et al. Frontiers in cellular and infection microbiology 2022 0 0. 819267
- Application of the advanced lung cancer inflammation index for patients with coronavirus disease 2019 pneumonia: Combined risk prediction model with advanced lung cancer inflammation index, computed tomography and chest radiograph.
Inoue Akitoshi, et al. Experimental and therapeutic medicine 2022 0 0. (6) 388
- Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound.
Hamdi Skander, et al. Journal of intelligent information systems 2022 0 0. 1-23
- Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture.
Zhang Xin, et al. Journal of computer science and technology 2022 0 0. (2) 330-343
- Interpretable deep learning for the prediction of ICU admission likelihood and mortality of COVID-19 patients.
Nazir Amril, et al. PeerJ. Computer science 2022 0 0. e889
- Monoclonal Antibody Therapy in Kidney Transplant Recipients With Delta and Omicron Variants of SARS-CoV-2: A Single-Center Case Series.
Fernandes Guillaume, et al. Kidney medicine 2022 0 0. 100470
- Multiclass Convolution Neural Network for Classification of COVID-19 CT Images.
Woan Ching Serena Low, et al. Computational intelligence and neuroscience 2022 0 0. 9167707
- Conversational artificial intelligence: A new approach for increasing influenza vaccination rates in children with asthma?
Krupp K et al. Vaccine 2022
- The pneumonia severity index: Assessment and comparison to popular machine learning classifiers.
Wang Dawei et al. International journal of medical informatics 2022 163104778
- Extracorporeal membrane oxygenation for respiratory failure in phases of COVID-19 variants.
Shih Emily, et al. Journal of cardiac surgery 2022 0 0.
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.