Nævra-Erickson

Nævra-Erickson
Author: Rolf Herbert Erickson
Publisher:
Total Pages: 620
Release: 1996
Genre: Genealogy
ISBN:

Helge Jonsen Nævra (1803-1862) of Nævra gard, Sigdal Prestegjeld, Buskerud fylke, Norway, married twice and was the father of seven children, born 1824-1838. Three of his children immigrated to the United States. John Helgesen Nævra/Nevra (1824-1910) and his family immigrated to Wisconsin in 1861. Ingeborg Helgesdatter Nævra (1831-1916), her husband, Erik Olsen (1831-1900), and their family immigrated to St. Croix County, Wisconsin, in 1866. Helene Nævra (1836-1892), her husband, Thow Thorstensen Vassbottlia (1845-1879), and their family immigrated to Shawano County, Wisconsin, in 1873. Children and Ingeborg and Erick Olsen used the surname Erickson. Children of Helene and Thor Tostensen Vassbottlia used the surname Thompson. Descendants and relatives lived in Wisconsin, Illinois, Texas, Tennessee, Iowa, Minnesota, Ohio, Georgia, Florida, Oregon and elsewhere.

The Nation

The Nation
Author:
Publisher:
Total Pages: 1534
Release: 1930
Genre: United States
ISBN:

Big Data Analytics in Bioinformatics and Healthcare

Big Data Analytics in Bioinformatics and Healthcare
Author: Wang, Baoying
Publisher: IGI Global
Total Pages: 552
Release: 2014-10-31
Genre: Computers
ISBN: 1466666129

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.