000 03370nam a2200517Ii 4500
001 9781351029940
008 180727s2018 fluab ob 001 0 eng d
020 _a9781351029940
_q(e-book : PDF)
035 _a(OCoLC)1044733735
040 _aFlBoTFG
_cFlBoTFG
_erda
050 4 _aQH324.2
072 7 _aCOM
_x037000
_2bisacsh
072 7 _aMED
_x009000
_2bisacsh
072 7 _aMED
_x043000
_2bisacsh
072 7 _aPS
_2bicscc
082 0 4 _a570.285
_223
245 0 0 _aMachine learning and iot :
_ba biological perspective /
_cedited by Shampa Sen, Leonid Datta and Sayak Mitra.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press, an imprint of Taylor and Francis,
_c2018.
300 _a1 online resource (374 pages) :
_b165 illustrations
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
505 0 _achapter 1 Machine Learning: A Powerful Tool for Biologists -- chapter 2 Mining and Analysis of Bioprocess Data -- chapter 3 Data Mining in Nutrigenomics -- chapter 4 Machine Learning in Metabolic Engineering -- chapter 5 Big Data and Transcriptomics -- chapter 6 Comparative Study of Predictive Models in Microbial-Induced Corrosion -- chapter 7 Application of Data Mining Techniques in Autoimmune Diseases Research and Treatment -- chapter 8 Data Mining Techniques in Imaging of Embryogenesis -- chapter 9 Machine Learning Approach to Overcome the Challenges in Theranostics: A Review -- chapter 10 Emotion Detection System -- chapter 11 Segmentation and Clinical Outcome Prediction in Brain Lesions -- chapter 12 Machine Learning Based Hospital-Acquired Infection Control System -- chapter 13 No Human Doctor: Learning of the Machine -- chapter 14 The IoT Revolution -- chapter 15 Healthcare IoT (H-IoT): Applications and Ethical Concerns -- chapter 16 Brain-Computer Interface -- chapter 17 IoT-Based Wearable Medical Devices -- chapter 18 People with Disabilities: The Helping Hand of IoT -- chapter 19 Smart Analytical Lab -- chapter 20 Crop and Animal Farming IoT (CAF-IoT).
520 3 _aThis book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases.
650 0 _aBioinformatics
_vmethodology.
_914510
650 0 _aBiology
_xData processing
_vmethodology.
_914511
650 7 _aNATURE / Reference.
_2bisacsh
_914512
650 7 _aSCIENCE / Life Sciences / Biology.
_2bisacsh
_914513
650 7 _aSCIENCE / Life Sciences / General.
_2bisacsh
_914514
650 7 _aMEDICAL / Biotechnology.
_2bisacsh
_914515
650 7 _aMEDICAL / Hospital Administration & Care.
_2bisacsh
_914516
650 0 _aBioprocess Data.
_914517
650 0 _aBrain Computer Interface.
_914518
650 0 _aHealthcare Iot.
_914519
650 0 _aMachine Learning.
_91831
650 0 _aNutrigenomics.
_914520
650 0 _aTranscritomics.
_914521
700 1 _aDatta, Leonid,
_eeditor.
_914522
700 1 _aSen, Shampa,
_eeditor.
_914523
700 1 _aMitra, Sayak,
_eeditor.
_914524
710 2 _aTaylor and Francis.
_910719
776 0 8 _iPrint version:
_z9781138492691
856 4 0 _uhttps://www.taylorfrancis.com/books/9781351029940
_zClick here to view.
942 _cEBK
999 _c70726
_d70726