Last Update Date: Sep 19, 2019
- EventEpi— A Natural Language Processing Framework for Event-Based Surveillance
A Abbood et al, MedRXIV, September 18, 2019 - A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis.
Harris Miriam et al. PloS one 2019 14(9) e0221339 - An artificial intelligent diagnostic system on mobile Android terminals for cholelithiasis by lightweight convolutional neural network.
Pang Shanchen et al. PloS one 2019 14(9) e0221720 - Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly.
Fan Yanghua et al. Frontiers in endocrinology 2019 10588 - Tracheal Sound Analysis Using a Deep Neural Network to Detect Sleep Apnea.
Nakano Hiroshi et al. Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine 2019 Aug 15(8) 1125-1133 - Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods.
Sarker Abeed et al. Studies in health technology and informatics 2019 Aug 264333-337 - Development and Preliminary Evaluation of a Visual Annotation Tool to Rapidly Collect Expert-Annotated Weight Errors in Pediatric Growth Charts.
Van Camp P J et al. Studies in health technology and informatics 2019 Aug 264853-857 - Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.
Do Nhan V et al. Studies in health technology and informatics 2019 Aug 2641453 - Using Machine Learning on Home Health Care Assessments to Predict Fall Risk.
Lo Yancy et al. Studies in health technology and informatics 2019 Aug 264684-688 - An Adversorial Approach to Enable Re-Use of Machine Learning Models and Collaborative Research Efforts Using Synthetic Unstructured Free-Text Medical Data.
Kasthurirathne Suranga N et al. Studies in health technology and informatics 2019 Aug 2641510-1511 - Unveiling Online Suicide Behavior: What Can We Learn About Mental Health from Suicide Survivors of Reddit?
Ambalavan Ashwin Karthik et al. Studies in health technology and informatics 2019 Aug 26450-54 - Stacking machine learning model for estimating hourly PM 2.5 in China based on Himawari 8 aerosol optical depth data.
Chen Jiangping et al. The Science of the total environment 2019 Aug 697134021 - Geoepidemiological big data approach to sarcoidosis: geographical and ethnic determinants.
Brito-Zerón Pilar et al. Clinical and experimental rheumatology 2019 Aug - Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records.
Nguyen Binh P et al. Computer methods and programs in biomedicine 2019 Aug 182105055 - Innovative Data Science to Transform Health Care: All the Pieces Matter.
Masica Andrew L et al. EGEMS (Washington, DC) 2019 Aug 7(1) 47 - Artificial intelligence in radiology: the ecosystem essential to improving patient care.
Sogani Julie et al. Clinical imaging 2019 Aug - Robust automated computational approach for classifying frontotemporal neurodegeneration: Multimodal/multicenter neuroimaging.
Donnelly-Kehoe Patricio Andres et al. Alzheimer's & dementia (Amsterdam, Netherlands) 2019 Dec 11588-598 - Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.
Lucena Oeslle et al. Artificial intelligence in medicine 2019 Jul 9848-58 - Deep learning with multimodal representation for pancancer prognosis prediction.
Cheerla Anika et al. Bioinformatics (Oxford, England) 2019 Jul 35(14) i446-i454 - Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France.
Baghdadi Yasmine et al. International journal of medical informatics 2019 Jul 131103915
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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