LEADER 01293nam 2200313 n 450 001 996393051503316 005 20200824121008.0 035 $a(CKB)1000000000680959 035 $a(EEBO)2240943388 035 $a(UnM)99872235e 035 $a(UnM)99872235 035 $a(EXLCZ)991000000000680959 100 $a19850524d1643 uh | 101 0 $aeng 135 $aurbn||||a|bb| 200 13$aAn ordinance of the Lords and Commons assembled in Parliament$b[electronic resource] $eFor the speedy pressing of 20000 souldiers, with so many gunners, trumpetors, and chirurgions as shall be thought fit by the committies for the six associated counties of Norfolke, Suffolke, Essex, Cambridge, Herford-shire and Huntington shire, with the c-ty of Norwich, and Isle of Ely 210 $aAugust 17 London $cPrinted for John Wright, in the Old-Bailey$d1643 215 $a[2], 4 p 300 $aReproduction of the original in the British Library. 330 $aeebo-0018 607 $aGreat Britain$xHistory$yCivil War, 1642-1649$vEarly works to 1800 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996393051503316 996 $aAn ordinance of the Lords and Commons assembled in Parliament$92298865 997 $aUNISA LEADER 03504nam 22006615 450 001 9910627260103321 005 20251113193514.0 010 $a3-031-11154-0 024 7 $a10.1007/978-3-031-11154-9 035 $a(CKB)5840000000091637 035 $a(MiAaPQ)EBC7102068 035 $a(Au-PeEL)EBL7102068 035 $a(PPN)264955161 035 $a(OCoLC)1492953688 035 $a(DE-He213)978-3-031-11154-9 035 $a(EXLCZ)995840000000091637 100 $a20220926d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Machine Learning for Healthcare $eVol. 1: Image and Data Analytics /$fedited by Chee-Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Tejasvi Jain, Lakhmi C. Jain 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (239 pages) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v228 311 08$a3-031-11153-2 320 $aIncludes bibliographical references. 327 $aAn Introduction to Artificial Intelligence in Healthcare -- Radiomics: Approach to Precision Medicine -- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. . 330 $aArtificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future. In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector. 410 0$aIntelligent Systems Reference Library,$x1868-4408 ;$v228 606 $aComputational intelligence 606 $aBiomedical engineering 606 $aArtificial intelligence 606 $aMedical informatics 606 $aComputational Intelligence 606 $aBiomedical Engineering and Bioengineering 606 $aArtificial Intelligence 606 $aHealth Informatics 615 0$aComputational intelligence. 615 0$aBiomedical engineering. 615 0$aArtificial intelligence. 615 0$aMedical informatics. 615 14$aComputational Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 676 $a060 676 $a610.28563 702 $aChee$b Peng Lim 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910627260103321 996 $aArtificial intelligence and machine learning for healthcare$93027984 997 $aUNINA