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008 221025s2022 si | s |||| 0|eng d
020 _a9789811952722
024 7 _a10.1007/978-981-19-5272-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aArtificial Intelligence in Healthcare
_bRecent Applications and Developments
_cedited by Tianhua Chen, Jenny Carter, Mufti Mahmud, Arjab Singh Khuman
250 _a1st edition 2022
264 1 _aSingapore
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (VIII, 227 páginas)
_b127 ilustraciones, 106 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aBrain Informatics and Health
_x2367-1750
505 0 _aChapter 1. Deep fuzzy neural network in dementia -- Chapter 2. Machine learning for COVID detection -- Chapter 3. Machine Learning techniques applied to identify significant gene biomarkers for efficient cancer treatment -- Chapter 4. Group decision making in intelligent medicine -- Chapter 5. Fuzzy logic system for diabetic eye detection -- Chapter 6. Sentiment analysis using deep neural networks -- Chapter 7. The emerging role of AI in dementia research and healthcare -- Chapter 8. Identifying high impact underlying conditions in disease management using AI -- Chapter 9. AI in medicine- case in Asthma diagnosis -- Chapter 10. Sentiment Analysis of Stroke Tweet -- Chapter 11. Artificial intelligence in detecting Alzheimer's Disease -- Chapter 12. Intelligent systems for IoT based healthcare delivery -- Chapter 13. Machine learning for the detection of Schizophrenia -- Chapter 14. Ictal discharge detection from neuronal signals using machine learning -- Chapter 15. Sentiment analysis for healthcare service provisioning -- Chapter 16. AI Healthcare: Malignant or Benign -- Chapter 17. Machine learning for dementia diagnosis -- Chapter 18. Using fuzzy systems to calculate blood pressure levels.
520 _aRecent advances in artificial intelligence (AI) and machine learning have witnessed many successes in various disciplines including the healthcare sector. Innovations in intelligent medical systems have revolutionized the way in which healthcare services are provided, ranging from making clinical diagnosis, developing personalized treatment and drugs, assisting patient monitoring, to automating administrative tasks and reducing operational costs. In this book, the authors present key applications in the general area of health care, where AI has made significant successes. From the individual chapters, the readers will be provided with a range of examples to illustrate the wide plethora of application domains utilizing state-of-the-art AI techniques, proving credence to the versatility and effectiveness of an AI approach in health care and medicine. We envisage that this book is ideal for individuals new to the notion of AI in health care, equally, early career academics who wish to further expand on their knowledge in AI in medicine. What will be presented is in no means an exhaustive list of applications, but most definitely a varied one.
700 1 _aChen, Tianhua
_eeditor literario
_0(orcid)0000-0003-4495-1871
_1https://orcid.org/0000-0003-4495-1871
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCarter, Jenny
_eeditor literario
_0(orcid)0000-0001-9737-2764
_1https://orcid.org/0000-0001-9737-2764
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMahmud, Mufti
_eeditor literario
_0(orcid)0000-0002-2037-8348
_1https://orcid.org/0000-0002-2037-8348
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKhuman, Arjab Singh
_eeditor literario
_0(orcid)0000-0001-8787-7830
_1https://orcid.org/0000-0001-8787-7830
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9789811952715
776 0 8 _iPrinted edition:
_z9789811952739
776 0 8 _iPrinted edition:
_z9789811952746
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-5272-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Computer_2022
999 _c394260
_d394260