The Lake Eyre hardyhead () is an endemic freshwater fish living in the Lake Eyre basin in South Australia. Here, I report the full mitogenome description and the phylogenetic position of this species based on the mitogenome phylogenetics. The mitogenome is 16,602 bp-long with the standard 37 genes all included, with a genomic structure typical of a vertebrate mitogenome. A maximum likelihood phylogenetic analysis to confirm this species position was conducted, using a data set including publicly available 28 atherinomorphs, nine percomorphs, and two outgroups. The result confirms position's in Atherinoidei. The complete mitogenome data of reported here would be useful for further genetics, phylogeography, and phylogenetics studies involving this species.
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http://dx.doi.org/10.1080/23802359.2017.1334527 | DOI Listing |
Front Public Health
July 2024
Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform evidence-based public health guidance and policies. Here, we discuss requirements for an effective surveillance system to support decision making during a pandemic, drawing on the lessons of COVID-19 in the U.S.
View Article and Find Full Text PDFJAMIA Open
April 2024
VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT 84113, United States.
Objective: To use natural language processing (NLP) of clinical notes to augment existing structured electronic health record (EHR) data for classification of a patient's menopausal status.
Materials And Methods: A rule-based NLP system was designed to capture evidence of a patient's menopause status including dates of a patient's last menstrual period, reproductive surgeries, and postmenopause diagnosis as well as their use of birth control and menstrual interruptions. NLP-derived output was used in combination with structured EHR data to classify a patient's menopausal status.
J Trauma Acute Care Surg
September 2024
From the Division of Pediatric Surgery, Department of Surgery (R.A.S., K.W.R., K.L., S.J.F.), University of Utah School of Medicine, Salt Lake City, UT; and Utah Department of Health (M.E.), Utah Pediatric Trauma Network, Salt Lake City, UT.
Background: The Utah Pediatric Trauma Network (UPTN) is a non-competitive collaboration of all 51 hospitals in the state of Utah with the purpose of improving pediatric trauma care. Created in 2019, UPTN has implemented evidence-based guidelines based on hospital resources and capabilities with quarterly review of data collected in a network-specific database. A blunt solid organ injury (SOI) protocol was developed to optimize treatment of these injuries statewide.
View Article and Find Full Text PDFStud Health Technol Inform
January 2024
VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT.
Natural language processing (NLP) tools can automate the identification of cancer patients eligible for specific pathways. We developed and validated a cancer agnostic, rules-based NLP framework to extract the dimensions and measurements of several concepts from pathology and radiology reports. This framework was then efficiently and cost-effectively deployed to identify patients eligible for breast, lung, and prostate cancers clinical pathways.
View Article and Find Full Text PDFLeuk Lymphoma
January 2024
Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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