Last Update Date: Oct 11, 2020
- DEVELOPING AND VALIDATING COVID-19 ADVERSE OUTCOME RISK PREDICTION MODELS FROM A BI-NATIONAL EUROPEAN COHORT OF 5594 PATIENTS.
EJ Solem et al, MEDRXIV, October 11, 2020 - Assessing the Impact of Area Deprivation Index on COVID-19 Prevalence: A Contrast Between Rural and Urban U.S. Jurisdictions
C Kitchen et al, MEDRXIV, October 11, 2020 - The SARS-CoV-2 effective reproduction rate has a high correlation with a contact index derived from large-scale individual location data using GPS-enabled mobile phones in Germany
S Ruediger et al, MEDRXIV, October 9, 2020 - Longer Hospital Stays, Greater Risk of COVID-19 Death in Men
P Lynch, MEDSCAPE, October 8, 2020 - Forecasting COVID-19 cases at the Amazon region: a comparison of classical and machine learning models
DGB De Souza et al, MEDRXIV, October 9, 2020 - Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processing
A Pal et al, ARXIV, October 6, 2020 - Forecasting COVID-19 daily cases using phone call data
B Rostami-Tabar et al, ARXIV, October 5, 2020 - Blockchain for Multi-Robot Collaboration to Combat COVID-19 and Future Pandemics
SH Alsamhi, et al, ARXIV, October 2020 - Investigating the Impact of COVID-19 during Pregnancy
CDC, October 9, 2020 - Methodology Minute: A Machine Learning Primer for Infection Prevention and Control.
Wiemken Timothy L et al. American journal of infection control 2020 Oct - The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR): Unique 1.4 M patient Electronic Health Record cohort.
Fishbein Howard A et al. Healthcare (Amsterdam, Netherlands) 2020 Oct 8(4) 100458 - Development and validation of coding algorithms to identify patients with incident lung cancer in United States healthcare claims data.
Beyrer Julie et al. Pharmacoepidemiology and drug safety 2020 Oct - Artificial intelligence in in vitro fertilization: a computer decision support system for day-to-day management of ovarian stimulation during in vitro fertilization.
Letterie Gerard et al. Fertility and sterility 2020 Oct - Deep learning for misinformation detection on online social networks: a survey and new perspectives.
Islam Md Rafiqul et al. Social network analysis and mining 2020 10(1) 82 - Develop and Evaluate a New and Effective Approach for Predicting Dyslipidemia in Steel Workers.
Wu Jianhui et al. Frontiers in bioengineering and biotechnology 2020 8839 - The Performance of Deep Neural Networks in Differentiating Chest X-Rays of COVID-19 Patients From Other Bacterial and Viral Pneumonias.
Elgendi Mohamed et al. Frontiers in medicine 2020 7550 - Physician sentiment toward artificial intelligence (AI) in colonoscopic practice: a survey of US gastroenterologists.
Wadhwa Vaibhav et al. Endoscopy international open 2020 Oct 8(10) E1379-E1384 - The future of digital health with federated learning.
Rieke Nicola et al. NPJ digital medicine 2020 3119 - Annual Wellness Visits and Influenza Vaccinations among Older Adults in the US.
Jørgensen Terese Sara Høj et al. Journal of primary care & community health 112150132720962870 - Guidelines for clinical trials using artificial intelligence - SPIRIT-AI and CONSORT-AI.
McGenity Clare et al. The Journal of pathology 2020 Oct
Disclaimer: Articles listed in Non-Genomics Precision Health Update are selected by the CDC Office of Public Health Genomics to provide current awareness of the scientific 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 Clips, 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.
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