Last Update Date: Feb 10, 2020
- Smartphones vs Wearable Devices for Remotely Monitoring Physical Activity After Hospital Discharge
MS Patel et al, JAMA Network Open, February 2020 - Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission
N Brajer et al, JAMA Network Open, February 7, 2020 - Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission
N Brajer et al, JAMA Network Open, February 7, 2020 - Scientists are racing to model the next moves of a coronavirus that's still hard to predict
J Cohen, Science, February 7, 2020 - Scientists are racing to model the next moves of a coronavirus that's still hard to predict
J Cohen, Science, February 7, 2020 - Scientists are racing to model the next moves of a coronavirus that's still hard to predict
J Cohen, Science, February 7, 2020 - Coronavirus 2019-nCoV global cases by Johns Hopkins CSSE
Johns Hopkins University, February 2020 - Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
HE Kim et al, Lancet Digital Health, February 6, 2020 - The application of big data to cardiovascular disease: paths to precision medicine.
Leopold Jane A et al. The Journal of clinical investigation 2020 Jan 130(1) 29-38 - From computer to clinic: The challenges of implementing artificial intelligence in practice
Stat News Webinar, February 13, 2020 - Communication, collaboration and cooperation can stop the 2019 coronavirus.
et al. Nature medicine 2020 Feb - The Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus.
Long Justin B et al. Journal of medical systems 2020 Feb 44(3) 59 - Calling all coronavirus researchers: keep sharing, stay open.
et al. Nature 2020 Feb 578(7793) 7 - Lymelight: forecasting Lyme disease risk using web search data
A Sadilek et al, NPJ Digital Medicine, February 2020 - Inter- and intraindividual variability in daily resting heart rate and its associations with age, sex, sleep, BMI, and time of year: Retrospective, longitudinal cohort study of 92,457 adults.
Quer Giorgio et al. PloS one 2020 15(2) e0227709 - The long road to fairer algorithms- Build models that identify and mitigate the causes of discrimination.
MJ Kusner et al, Nature Comment, February 4, 2020 - Introducing "Precision Health Promotion": The Convergence of Genomics, Health Education, and Lived Experience.
Terry Paul E et al. American journal of health promotion : AJHP 2020 Jan 890117120903129 - Machine Learning Increases Diagnosticity in Psychometric Evaluation of Alexithymia in Fibromyalgia.
Orrù Graziella et al. Frontiers in medicine 2019 6319 - Improving palliative and end-of-life care with machine learning and routine data: a rapid review.
Storick Virginia et al. HRB open research 2019 213 - Big Data and Pediatric Acute Kidney Injury: The Promise of Electronic Health Record Systems.
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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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