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008 230908s2024 flu b 001 0 eng
010 _a 2023033729
020 _a9781032414232
_q(hardback)
020 _a9781032418315
_q(paperback)
020 _z9781003359951
_q(ebook)
040 _aDNLM/DLC
_beng
_erda
_cDLC
_dDLC
042 _apcc
050 0 0 _aR855.3
060 0 0 _aW 26.55.C7
082 0 0 _a610.285/PAD
_223/eng/20231108
245 0 0 _aData modelling and analytics for the internet of medical things /
_cedited by Rajiv Pandey, Pratibha Maurya and Raymond Chiong.
250 _aFirst edition.
260 _aBoca Raton, FL :
_bTaylor and Francis,
_cc2024.
263 _a2401
300 _a328 p.:
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
365 _aBDT
_b28125/-
504 _aIncludes bibliographical references and index.
505 0 _aRemote Health Monitoring in the Era of the Internet of Medical Things / Dalal Alshehri, Nasimul Noman, Raymond Chiong and Shah J Miah -- Diabetic health care data analytics and application / Dev Kapadia, Pratyush Mohanty, Anupama Namburu and Aravapalli Rama Satish -- Blockchain for Handling Medical Data / T. Vigneswari, Farjana Farvin Sahapudeen and G. Kalaiselvi -- Cloud computing for complex IoMT data / Akrati Sharma and Priti Maheshwary -- Potential of IoMT Devices in Early Detection of Suicidal Ideation / Archana Sahai and Umar Khalid Farooqui -- Application and Challenges of Machine Learning in Healthcare / Ajay Sharma, Shashi Kala, Gaurav Gupta, Shamneesh Sharma and Varun Jaiswal -- Artificial Intelligence and Internet of Medical Things in the Diagnosis and Prediction of Disease / Narendra Kumar Sharma, Shahnaz Fatima and Alok Singh Chauhan -- Predicting Cardiovascular Diseases Using Machine Learning : A Systematic Review of the Literature / Abhay Kumar Pathak, Bhupendra Kumar Dewangan and Manjari Gupta -- Identification of Unipolar Depression using Boosting Algorithms / Parul Verma, Roopam Srivastava and Shikha Srivastava -- Development of EEG based Identification of Learning Disability using Machine Learning Algorithms / Nitin Ahire, R.N. Awale, Abhay Wagh -- Deep Learning Approaches for IoMT / Farjana Farvin Sahapudeen, T. Vigneswari and S. Krishna Mohan -- Machine Learning and Deep Learning Techniques to classify depressed patients from healthy, by using Brain signals from Electroencephalogram (EEG) / Bethany Gosala, Gosala Emmanuel Raj and Manjari Gupta -- Dimensionality reduction for IoMT devices using PCA / Rajiv Pandey, Radhika Awasthi, Archana Sahai and Pratibha Maurya -- Face Mask Detection System : CNN based Implementation / Rajiv Pandey, Radhika Awasthi, and Archana Sahai -- An IoT based real-time ECG monitoring platform for multiple patients / Vishnu S, K. Lova Raju, Shanmugam M and Sharma S -- Study on Anomaly Detection in Clinical Laboratory Data using Internet of Medical Things / Richa Singh and Nidhi Srivastava -- Computational Intelligence Framework for improving Quality of Life in cancer patients / Perla Sunanda and Dwaram Kavitha -- Major Depressive Disorder Detection using Data Science and Wearable Connected Devices / Umar Khalid Farooqui and Archana Sahai.
520 _a"Internet of Medical Things (IoMT) is transforming the management of diseases, improving diseases diagnosis and treatment methods, and reducing healthcare cost and errors. This book integrates the architectural, conceptual, and technological aspects of IoMT, providing the reader with a comprehensive grasp of the IoMT landscape. It suits scientists, design engineers, system integrators, and researchers in the field of IoMT. It will also be of interest to postgraduate students in computer science focusing on healthcare applications and as supplementary reading for IoMT courses"--
_cProvided by publisher.
526 _aBME
546 _aEnglish
650 1 2 _aInternet of Things
650 2 2 _aMedical Informatics Computing
650 2 2 _aData Analysis
650 2 2 _aMachine Learning
700 1 _aPandey, Rajiv,
_d1966-
_eeditor.
700 1 _aMaurya, Pratibha,
_eeditor.
700 1 _aChiong, Raymond,
_d1979-
_eeditor.
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2ddc
_cEBK