Last Update Date: Sep 10, 2019
- New Opportunities With School-Based Telehealth: Convenient Connections to Care.
Frey Sean M et al. JAMA pediatrics 2019 Sep - Association of a School-Based, Asthma-Focused Telehealth Program With Emergency Department Visits Among Children Enrolled in South Carolina Medicaid.
Bian John et al. JAMA pediatrics 2019 Sep - Towards Urbanome the genome of the city to enhance the form and function of future cities
L Morawska et al, Nature Comms, September 2019 - Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety
K Huckvale, NPJ Digital Medicine, Septetmber 2019 - Reduction of false alarms in the intensive care unit using an optimized machine learning based approach
M Wan-Tai et al, NPJ Digital Medicine, September 5, 2019 - Reinforcement learning in clinical medicine: a method to optimize dynamic treatment regime over time.
Zhang Zhongheng et al. Annals of translational medicine 2019 Jul 7(14) 345 - Assessment of Deep Learning Using Nonimaging Information and Sequential Medical Records to Develop a Prediction Model for Nonmelanoma Skin Cancer.
Wang Hsiao-Han et al. JAMA dermatology 2019 Sep - Social network interventions for health behaviours and outcomes: A systematic review and meta-analysis.
Hunter Ruth F et al. PLoS medicine 2019 Sep 16(9) e1002890 - Mobile Devices and Health.
Sim Ida et al. The New England journal of medicine 2019 Sep 381(10) 956-968 - Applications of Deep Learning to Neuro-Imaging Techniques.
Zhu Guangming et al. Frontiers in neurology 2019 10869 - Putting the data before the algorithm in big data addressing personalized healthcare.
Cahan Eli M et al. NPJ digital medicine 2019 278 - A Proposal to Reflect Survival Difference and Modify the Staging System for Lung Adenocarcinoma and Squamous Cell Carcinoma: Based on the Machine Learning.
Li Ming et al. Frontiers in oncology 2019 9771 - Artificial Intelligence in the Management of Glioma: Era of Personalized Medicine.
Sotoudeh Houman et al. Frontiers in oncology 2019 9768 - Precision public health: Mapping socioeconomic disparities in opioid dispensations at Swedish pharmacies by Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA).
Persmark Anna et al. PloS one 2019 14(8) e0220322 - Managing "incidental findings" in biobank research: Recommendations of the Taiwan biobank.
Lin Jui-Chu et al. Computational and structural biotechnology journal 2019 171135-1142 - Artificial intelligence. A tool for sports trauma prediction.
Kakavas Georgios et al. Injury 2019 Aug - Cancer Diagnosis Using Deep Learning: A Bibliographic Review.
Munir Khushboo et al. Cancers 2019 Aug 11(9) - Artificial Intelligence in Nephrology: Core Concepts, Clinical Applications, and Perspectives.
Niel Olivier et al. American journal of kidney diseases : the official journal of the National Kidney Foundation 2019 Aug - Comparison of Machine Learning Techniques for Prediction of Hospitalization in Heart Failure Patients.
Lorenzoni Giulia et al. Journal of clinical medicine 2019 Aug 8(9)
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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