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Artificial intelligence for disease diagnosis and prognosis in smart healthcare- [electronic resource]
Artificial intelligence for disease diagnosis and prognosis in smart healthcare - [electro...
Artificial intelligence for disease diagnosis and prognosis in smart healthcare- [electronic resource]

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자료유형  
 전자책(국외)
미국국회도서관 청구기호  
R855.3
자관 청구기호  
표제와 책임표시사항  
Artificial intelligence for disease diagnosis and prognosis in smart healthcare - [electronic resource] / edited by Ghita K. Mostefaoui, S.M. Riazul Islam, Faisal Tariq.
출판 정보  
Boca Raton :CRC Press, Taylor & Francis Group2023.
형태사항  
1 online resource
서지 등 주기  
Includes bibliographical references and index.
내용주기  
완전내용Machine Learning for Disease Assessment / Sujay Saha and Shekh Md Mahmudul Islam -- Precision medicine and future healthcare / Muhammad Afzal, Maqbool Hussain -- AI-driven drug response prediction for personalised cancer medicine / Julhash U. Kaz -- Skin Disease Recognition and Classification Using Machine Learning and Deep Learning in Python / Masum Shah Junayed, Md Baharul Islam, Arezoo Sadeghzadeh -- COVID-19 Diagnosis Based Deep Learning Approaches for COVIDX Dataset : A Preliminary Survey / Esraa Hassan, Mahmoud Y. Shams, Noha A. Hikal, Samir Elmougy -- Automatic grading of invasive breast cancer patients for the decision of therapeutic plan / Hossain Md Shakhawat, Matthew Hanna, Kareem Ibrahim, Rene Serrette, Peter Ntiamoah, Marcia Edelweiss, Edi Brogi, Meera Hameed, Masahiro Yamaguchi, Dara Ross, Yukako Yagi -- Prognostic Role of CALD1 in Brain Cancer : A Data-driven Review / S. M. Riazul Islam, Subbroto Kumar Saha, Afsana Nishat , and Shaker El-Sappagh -- Artificial Intelligence for Parkinson's Disease Diagnosis : A Review / Md. Moradul Siddique, Yeasir Arefin Tusher, Dr. Md. Humaun Kabir, Mohammad Farhad Bulbul and Dr. Syed Md. Galib -- Breast Cancer Detection : A Survey / Esraa Hassan, Fatma M. Talaat, Zeinab Hassan, Nora El-Rashidy -- Review of artifact detection methods for automated analysis and diagnosis in digital pathology / Hossain Md Shakhawat, Md Sakir Hossain, M M Manjurul Islam, Md Alamgir Kabir, S M Hasan Mahmud, and Faisal Tariq -- Machine Learning Enabled Detection and Management of Diabetes Mellitus / Shafiqul Islam -- IoT and deep learning-based smart healthcare with an integrated security system to detect various skin lesions / Md Khairul Islam, Md Al Amin, Md. Mojibur Rahman Redoy Akanda, Md. Shabuj Hossen, Feroza -- Naznin, Md Zahidul Islam, Mohammad Ali Mon -- Real-Time Facemask Detection Using Deep Convolutional Neural Network-based Transfer Learning / Jakaria Islam Emon, M M Manjurul Islam, Syeda Amina Abedin, Md Shakhawat Hossain, Rupam Kumar Das -- Security Challenges in Wireless Body Area Networks for Smart Healthcare / Muhammad Shadi Hajar, Harsha Kumara Kalutarage , and M. Omar Al-Kadri -- Machine Learning Based Security and Privacy Protection Approach to Handle the Physiological Data / M. Humayun Kabir -- Conclusion : Future Challenges in Artificial Intelligence for Smart -- Healthcare / Faisal Tariq, S. M. Riazul Islam, and Ghita Kouadri Mostefaoui.
요약 등 주기  
요약"Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that the next generation healthcare services are sprouting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services would improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of chronic diseases such as dementia and diabetes. This book highlights the current research trends in applying AI models in various disease diagnoses and prognoses to provide enhanced healthcare solutions. The primary audience of the book will be postgraduate students and researchers in the broad domain of healthcare technologies"--해제Provided by publisher.
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기타형태저록  
Print version Artificial intelligence for disease diagnosis and prognosis in smart healthcare
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MARC

 008240109s2023        flu          s          001  0  eng
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■020    ▼a9781000823202▼q(electronic  bk.  :  EPUB)
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■0247  ▼a10.1201/9781003251903▼2doi
■035    ▼a3558133▼b(N$T)
■035    ▼a(OCoLC)1372013402▼z(OCoLC)1380691076
■037    ▼a9781003251903▼bTaylor  &  Francis
■040    ▼aTYFRS▼beng▼erda▼epn▼cTYFRS▼dTYFRS▼dUKMGB▼dUKAHL▼dOCLCF▼dYDX▼dN$T
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■24500▼aArtificial  intelligence  for  disease  diagnosis  and  prognosis  in  smart  healthcare▼h[electronic  resource]▼cedited  by  Ghita  K.  Mostefaoui,  S.M.  Riazul  Islam,  Faisal  Tariq.
■264  1▼aBoca  Raton  ▼bCRC  Press,  Taylor  &  Francis  Group▼c2023.
■300    ▼a1  online  resource
■336    ▼atext▼btxt▼2rdacontent
■337    ▼acomputer▼bc▼2rdamedia
■338    ▼aonline  resource▼bcr▼2rdacarrier
■504    ▼aIncludes  bibliographical  references  and  index.
■5050  ▼aMachine  Learning  for  Disease  Assessment  /  Sujay  Saha  and  Shekh  Md  Mahmudul  Islam  --  Precision  medicine  and  future  healthcare  /  Muhammad  Afzal,  Maqbool  Hussain  --  AI-driven  drug  response  prediction  for  personalised  cancer  medicine  /  Julhash  U.  Kaz  --  Skin  Disease  Recognition  and  Classification  Using  Machine  Learning  and  Deep  Learning  in  Python  /  Masum  Shah  Junayed,  Md  Baharul  Islam,  Arezoo  Sadeghzadeh  --  COVID-19  Diagnosis  Based  Deep  Learning  Approaches  for  COVIDX  Dataset  :  A  Preliminary  Survey  /  Esraa  Hassan,  Mahmoud  Y.  Shams,  Noha  A.  Hikal,  Samir  Elmougy  --  Automatic  grading  of  invasive  breast  cancer  patients  for  the  decision  of  therapeutic  plan  /  Hossain  Md  Shakhawat,  Matthew  Hanna,  Kareem  Ibrahim,  Rene  Serrette,  Peter  Ntiamoah,  Marcia  Edelweiss,  Edi  Brogi,  Meera  Hameed,  Masahiro  Yamaguchi,  Dara  Ross,  Yukako  Yagi  --  Prognostic  Role  of  CALD1  in  Brain  Cancer  :  A  Data-driven  Review  /  S.  M.  Riazul  Islam,  Subbroto  Kumar  Saha,  Afsana  Nishat  ,  and  Shaker  El-Sappagh  --  Artificial  Intelligence  for  Parkinson's  Disease  Diagnosis  :  A  Review  /  Md.  Moradul  Siddique,  Yeasir  Arefin  Tusher,  Dr.  Md.  Humaun  Kabir,  Mohammad  Farhad  Bulbul  and  Dr.  Syed  Md.  Galib  --  Breast  Cancer  Detection  :  A  Survey  /  Esraa  Hassan,  Fatma  M.  Talaat,  Zeinab  Hassan,  Nora  El-Rashidy  --  Review  of  artifact  detection  methods  for  automated  analysis  and  diagnosis  in  digital  pathology  /  Hossain  Md  Shakhawat,  Md  Sakir  Hossain,  M  M  Manjurul  Islam,  Md  Alamgir  Kabir,  S  M  Hasan  Mahmud,  and  Faisal  Tariq  --  Machine  Learning  Enabled  Detection  and  Management  of  Diabetes  Mellitus  /  Shafiqul  Islam  --  IoT  and  deep  learning-based  smart  healthcare  with  an  integrated  security  system  to  detect  various  skin  lesions  /  Md  Khairul  Islam,  Md  Al  Amin,  Md.  Mojibur  Rahman  Redoy  Akanda,  Md.  Shabuj  Hossen,  Feroza  --  Naznin,  Md  Zahidul  Islam,  Mohammad  Ali  Mon  --  Real-Time  Facemask  Detection  Using  Deep  Convolutional  Neural  Network-based  Transfer  Learning  /  Jakaria  Islam  Emon,  M  M  Manjurul  Islam,  Syeda  Amina  Abedin,  Md  Shakhawat  Hossain,  Rupam  Kumar  Das  --  Security  Challenges  in  Wireless  Body  Area  Networks  for  Smart  Healthcare  /  Muhammad  Shadi  Hajar,  Harsha  Kumara  Kalutarage  ,  and  M.  Omar  Al-Kadri  --  Machine  Learning  Based  Security  and  Privacy  Protection  Approach  to  Handle  the  Physiological  Data  /  M.  Humayun  Kabir  --  Conclusion  :  Future  Challenges  in  Artificial  Intelligence  for  Smart  --  Healthcare  /  Faisal  Tariq,  S.  M.  Riazul  Islam,  and  Ghita  Kouadri  Mostefaoui.
■520    ▼a"Artificial  Intelligence  (AI)  in  general  and  machine  learning  (ML)  and  deep  learning  (DL)  in  particular  and  related  digital  technologies  are  a  couple  of  fledging  paradigms  that  the  next  generation  healthcare  services  are  sprouting  towards.  These  digital  technologies  can  transform  various  aspects  of  healthcare,  leveraging  advances  in  computing  and  communication  power.  With  a  new  spectrum  of  business  opportunities,  AI-powered  healthcare  services  would  improve  the  lives  of  patients,  their  families,  and  societies.  However,  the  application  of  AI  in  the  healthcare  field  requires  special  attention  given  the  direct  implication  with  human  life  and  well-being.  Rapid  progress  in  AI  leads  to  the  possibility  of  exploiting  healthcare  data  for  designing  practical  tools  for  automated  diagnosis  of  chronic  diseases  such  as  dementia  and  diabetes.  This  book  highlights  the  current  research  trends  in  applying  AI  models  in  various  disease  diagnoses  and  prognoses  to  provide  enhanced  healthcare  solutions.  The  primary  audience  of  the  book  will  be  postgraduate  students  and  researchers  in  the  broad  domain  of  healthcare  technologies"--▼cProvided  by  publisher.
■5450  ▼aGhita  Kouadri  Mostefaoui  is  currently  an  Associate  Professor  at  the  Department  of  Computer  Science,  University  College  London.  Her  current  teaching  includes  programming,  computer  architecture,  and  software  engineering.  She  received  her  PhD  in  computer  science  from  both  the  University  of  Fribourg,  Switzerland  and  Université  Pierre  et  Marie  Curie  (Paris  6).  Ghita  is  a  Fellow  of  the  Higher  Education  Academy.  S.  M.  Riazul  Islam  is  currently  a  Senior  Lecturer  in  Computer  Science  at  the  University  of  Huddersfield,  United  Kingdom.  Before  moving  to  the  UK,  he  was  an  Assistant  Professor  at  the  Department  of  Computer  Science  and  Engineering,  Sejong  University,  South  Korea,  from  2017  to  2022.  Dr.  Islam's  prior  affiliations  were  at  Inha  University  as  a  Postdoctoral  Fellow,  at  Samsung  R&D  Institute  as  a  Senior  Engineer,  and  at  the  University  of  Dhaka  as  an  Assistant  Professor  in  EEE.  He  received  his  Ph.D.  in  Information  and  Communication  Engineering  from  Inha  University,  South  Korea,  in  2012.  Dr.  Islam's  research  interests  include  applied  AI,  machine  learning,  data  science,  and  IoT.  Faisal  Tariq  is  currently  a  Senior  Lecturer  at  the  James  Watt  School  of  Engineering,  University  of  Glasgow,  United  Kingdom.  He  received  his  PhD  degree  from  The  Open  University,  UK.  His  research  interests  include  applications  of  Artificial  Intelligence  (AI)  and  Machine  Learning  (ML)  in  various  domains  including  smart  wireless  communications,  healthcare  technology,  cyber  security  and  intelligent  internet  of  Things  (IIoT).  He  is  a  senior  member  of  IEEE  and  fellow  of  the  Higher  Education  Academy.
■5880  ▼aPrint  version  record.
■590    ▼aOCLC  control  number  change
■650  0▼aArtificial  intelligence▼xMedical  applications.
■650  7▼aCOMPUTERS  /  Machine  Theory▼2bisacsh
■650  7▼aCOMPUTERS  /  Artificial  Intelligence▼2bisacsh
■650  7▼aCOMPUTERS  /  Social  Aspects  /  Human-Computer  Interaction▼2bisacsh
■650  7▼aArtificial  intelligence▼xMedical  applications.▼2fast▼0(OCoLC)fst00817267
■7001  ▼aMostefaoui,  Ghita  K.▼eeditor.
■7001  ▼aIslam,  S.  M.  Riazul▼eeditor.
■7001  ▼aTariq,  Faisal▼eeditor.
■77608▼iPrint  version▼tArtificial  intelligence  for  disease  diagnosis  and  prognosis  in  smart  healthcare.▼dBoca  Raton  :  CRC  Press,  2022▼z9781032168302▼w(DLC)    2022034534▼w(OCoLC)1353605034
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■938    ▼aEBSCOhost▼bEBSC▼n3558133
■994    ▼a92▼bN$T

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