Electronic health records, like ELGA in Austria, provide an overview of laboratory results, diagnostics and therapies. Much could be learned from the personal and private data of individuals – with the help of machine learning – for use in the treatment of others. However, the use of the data is a delicate matter, especially when it comes to diseases that carry a stigma. Researchers involved in the EU project “Enabling the Big Data Pipeline Lifecycle on the Computing Continuum (DataCloud)” are working to make new forms of information processing suitable for medical purposes. Dragi Kimovski and his colleagues recently presented their findings in a publication. Read the complete article here.
Rekodi za elektroniki za afya, kama ELGA nchini Austria, hutoa muhtasari wa matokeo ya maabara, utambuzi na matibabu. Mengi yanaweza kujifunza kutoka kwa data ya kibinafsi na binafsi ya watu binafsi <unk> kwa msaada wa kujifunza mashine <unk> kwa ajili ya matumizi katika matibabu ya wengine. Hata hivyo, matumizi ya data ni jambo gumu, hasa linapohusu magonjwa ambayo huonwa kuwa mabaya. "Wanafunzi wa EU wanaofanya kazi katika mradi wa ""Enabling the Big Data Pipeline Lifecycle on the Computing Continuum"" wanafanya kazi ya kuunda aina mpya za usindikaji wa habari zinazofaa kwa madhumuni ya matibabu." Dragi Kimovski na wenzake hivi karibuni waliwasilisha matokeo yao katika kichapo. Soma makala hiyo nzima hapa.