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Niklas Lidströmer
Niklas Georg Lidströmer (born 3 June 1974) is a Swedish physician and researcher. Lidströmer is a senior researcher at Karolinska Institutet. Lidströmer received a Master of Science (MSc) in 2000 and an MD 2002 from Uppsala University. He obtained medical license in 2005 and became a specialist physician in 2011. Lidströmer researches within artificial intelligence (AI) in medicine and is a senior advisor within AI and medical applications. Lidströmer has launched the concept ''Global Patient co-Owned Cloud (GPOC)'' in several publications, including ''Nature Communications'', ''BMC Digital Health''., and '' American Journal of Bioethics'' ''Open Research''. Lidströmer is editor-in-chief for the reference work, ''Artificial Intelligence in Medicine'', Springer Nature (130 chapters, 1,858 pages), with a foreword by Eric Topol. Lidströmer is also editor for ''Artificial Intelligence in COVID-19'', Springer Nature, together with Yonina C. Eldar, with a foreword by Jame ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Lidingö Municipality
Lidingö Municipality (, semi-officially ) is a municipalities of Sweden, municipality east of Stockholm in Stockholm County in east central Sweden. Its seat is located on the island of Lidingö. The municipality is a part of Metropolitan Stockholm. It is chiefly located on the island Lidingö, but also incorporates a few smaller islands in the surroundings, most notably the Fjäderholmarna islands within the Stockholm archipelago. Being an island municipality it has not been amalgamated with any other entities. The small island of Tranholmen has, however, been transferred to Danderyd Municipality. The rural municipality was made a market town (''köping'') in 1910, a stad (Sweden), city in 1926 and a unitary municipality in 1971. The municipality always refers to itself as ''Lidingö stad'' ("''the City of Lidingö''"). This was a decision taken by the municipal assembly (kommunfullmäktige) in 1992. Raoul Wallenberg, Righteous Among the Nations, was born in Lidingö on 4 Aug ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Medical Applications Of Big Data
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: ''volume'', ''variety'', and ''velocity''. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Thus a fourth concept, ''veracity,'' refers to the quality or insightfulness of the data. Without sufficient investment in expertise for big data veracity, the volume and variety of data can produce costs and risks that exceed an organization's capacity to create and capture ''value'' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
