Clinical applications of artificial neural networks:
Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered in this volume. In addition to looking at appli...
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| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2001
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| Subjects: | |
| Online Access: | BSB01 FHN01 Volltext |
| Summary: | Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered in this volume. In addition to looking at applications the book looks forward to exciting future prospects. A section on theory looks at approaches to validate and refine the results generated by artificial neural networks. The volume also recognizes that concerns exist about the use of 'black-box' systems as decision aids in medicine, and the final chapter considers the ethical and legal conundrums arising out of their use for diagnostic or treatment decisions. Taken together, this eclectic collection of chapters provides an exciting overview of harnessing the power of artificial neural networks in the investigation and treatment of disease |
| Item Description: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Physical Description: | 1 online resource (ix, 368 pages) |
| ISBN: | 9780511543494 |
| DOI: | 10.1017/CBO9780511543494 |
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| 505 | 8 | |a 1. Introduction / Richard Dybowski and Vanya Gant -- Part I. Applications -- 2. Artifical neural networks in laboratory medicine / Simon S. Cross -- 3. Using artifical neural networks to screen cervical smears: how new technology enhances health care / Mathilde E. Boon and Lambrecht P. Kok -- 4. Neural network analysis of sleep disorders / Lionel Tarassenko, Mayela Zamora and James Pardey -- 5. Artificial neural networks for neonatal intensive care / Emma A. Braithwaite [and others] -- 6. Artificial neural networks in urology: applications, feature extraction and user implementations / Craig S. Niederberger and Richard M. Golden -- 7. Artificial neural lnetworks as a tool for whole organism fingerprinting in bacterial taxonomy / Royston Goodacre -- Part I. Prospects -- 8. Recent advances in EEG signal analysis and classification / Charles W. Anderson and David A. Peterson | |
| 505 | 8 | |a 9. Adaptive resonance theory: a foundation for 'apprentice' systems in clinical decison support? / Robert F. Harrison [and others] -- 10. Evolving artificial neural networks / V. William Porto and David B. Fogel -- Part III. Theory -- 11. Neural networks as statistical methods in survival analysis / Brian D. Ripley and Ruth M. Ripley -- 12. A review of techniques for extracting rules from trained artificial neural networks / Robert Andrews, Alan B. Tickle and Joachim Diederich -- 13. Confidence intervals and prediction intervals for feedforward neural networks / Richard Dybowski and Stephen J. Roberts -- Part IV. Ethics and clinical prospects -- 14. Artificial neural networks: practical considerations for clinical application / Vanya Gant, Susan Rodway and Jeremy Wyatt | |
| 520 | |a Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered in this volume. In addition to looking at applications the book looks forward to exciting future prospects. A section on theory looks at approaches to validate and refine the results generated by artificial neural networks. The volume also recognizes that concerns exist about the use of 'black-box' systems as decision aids in medicine, and the final chapter considers the ethical and legal conundrums arising out of their use for diagnostic or treatment decisions. Taken together, this eclectic collection of chapters provides an exciting overview of harnessing the power of artificial neural networks in the investigation and treatment of disease | ||
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| 650 | 4 | |a Clinical medicine / Decision making / Data processing | |
| 700 | 1 | |a Dybowski, Richard |d 1951- |4 edt | |
| 700 | 1 | |a Gant, Vanya |4 edt | |
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| contents | 1. Introduction / Richard Dybowski and Vanya Gant -- Part I. Applications -- 2. Artifical neural networks in laboratory medicine / Simon S. Cross -- 3. Using artifical neural networks to screen cervical smears: how new technology enhances health care / Mathilde E. Boon and Lambrecht P. Kok -- 4. Neural network analysis of sleep disorders / Lionel Tarassenko, Mayela Zamora and James Pardey -- 5. Artificial neural networks for neonatal intensive care / Emma A. Braithwaite [and others] -- 6. Artificial neural networks in urology: applications, feature extraction and user implementations / Craig S. Niederberger and Richard M. Golden -- 7. Artificial neural lnetworks as a tool for whole organism fingerprinting in bacterial taxonomy / Royston Goodacre -- Part I. Prospects -- 8. Recent advances in EEG signal analysis and classification / Charles W. Anderson and David A. Peterson 9. Adaptive resonance theory: a foundation for 'apprentice' systems in clinical decison support? / Robert F. Harrison [and others] -- 10. Evolving artificial neural networks / V. William Porto and David B. Fogel -- Part III. Theory -- 11. Neural networks as statistical methods in survival analysis / Brian D. Ripley and Ruth M. Ripley -- 12. A review of techniques for extracting rules from trained artificial neural networks / Robert Andrews, Alan B. Tickle and Joachim Diederich -- 13. Confidence intervals and prediction intervals for feedforward neural networks / Richard Dybowski and Stephen J. Roberts -- Part IV. Ethics and clinical prospects -- 14. Artificial neural networks: practical considerations for clinical application / Vanya Gant, Susan Rodway and Jeremy Wyatt |
| ctrlnum | (ZDB-20-CBO)CR9780511543494 (OCoLC)850253228 (DE-599)BVBBV043944624 |
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| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 616 - Diseases |
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| dewey-tens | 610 - Medicine and health |
| discipline | Informatik Medizin |
| doi_str_mv | 10.1017/CBO9780511543494 |
| format | Electronic eBook |
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| isbn | 9780511543494 |
| language | English |
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| spelling | Clinical applications of artificial neural networks edited by Richard Dybowski and Vanya Gant Cambridge Cambridge University Press 2001 1 online resource (ix, 368 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 1. Introduction / Richard Dybowski and Vanya Gant -- Part I. Applications -- 2. Artifical neural networks in laboratory medicine / Simon S. Cross -- 3. Using artifical neural networks to screen cervical smears: how new technology enhances health care / Mathilde E. Boon and Lambrecht P. Kok -- 4. Neural network analysis of sleep disorders / Lionel Tarassenko, Mayela Zamora and James Pardey -- 5. Artificial neural networks for neonatal intensive care / Emma A. Braithwaite [and others] -- 6. Artificial neural networks in urology: applications, feature extraction and user implementations / Craig S. Niederberger and Richard M. Golden -- 7. Artificial neural lnetworks as a tool for whole organism fingerprinting in bacterial taxonomy / Royston Goodacre -- Part I. Prospects -- 8. Recent advances in EEG signal analysis and classification / Charles W. Anderson and David A. Peterson 9. Adaptive resonance theory: a foundation for 'apprentice' systems in clinical decison support? / Robert F. Harrison [and others] -- 10. Evolving artificial neural networks / V. William Porto and David B. Fogel -- Part III. Theory -- 11. Neural networks as statistical methods in survival analysis / Brian D. Ripley and Ruth M. Ripley -- 12. A review of techniques for extracting rules from trained artificial neural networks / Robert Andrews, Alan B. Tickle and Joachim Diederich -- 13. Confidence intervals and prediction intervals for feedforward neural networks / Richard Dybowski and Stephen J. Roberts -- Part IV. Ethics and clinical prospects -- 14. Artificial neural networks: practical considerations for clinical application / Vanya Gant, Susan Rodway and Jeremy Wyatt Artificial neural networks provide a powerful tool to help doctors analyse, model and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered in this volume. In addition to looking at applications the book looks forward to exciting future prospects. A section on theory looks at approaches to validate and refine the results generated by artificial neural networks. The volume also recognizes that concerns exist about the use of 'black-box' systems as decision aids in medicine, and the final chapter considers the ethical and legal conundrums arising out of their use for diagnostic or treatment decisions. Taken together, this eclectic collection of chapters provides an exciting overview of harnessing the power of artificial neural networks in the investigation and treatment of disease Datenverarbeitung Medizin Medicine / Research / Data processing Neural networks (Computer science) Clinical medicine / Decision making / Data processing Dybowski, Richard 1951- edt Gant, Vanya edt Erscheint auch als Druckausgabe 978-0-521-00133-5 Erscheint auch als Druckausgabe 978-0-521-66271-0 https://doi.org/10.1017/CBO9780511543494 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Clinical applications of artificial neural networks 1. Introduction / Richard Dybowski and Vanya Gant -- Part I. Applications -- 2. Artifical neural networks in laboratory medicine / Simon S. Cross -- 3. Using artifical neural networks to screen cervical smears: how new technology enhances health care / Mathilde E. Boon and Lambrecht P. Kok -- 4. Neural network analysis of sleep disorders / Lionel Tarassenko, Mayela Zamora and James Pardey -- 5. Artificial neural networks for neonatal intensive care / Emma A. Braithwaite [and others] -- 6. Artificial neural networks in urology: applications, feature extraction and user implementations / Craig S. Niederberger and Richard M. Golden -- 7. Artificial neural lnetworks as a tool for whole organism fingerprinting in bacterial taxonomy / Royston Goodacre -- Part I. Prospects -- 8. Recent advances in EEG signal analysis and classification / Charles W. Anderson and David A. Peterson 9. Adaptive resonance theory: a foundation for 'apprentice' systems in clinical decison support? / Robert F. Harrison [and others] -- 10. Evolving artificial neural networks / V. William Porto and David B. Fogel -- Part III. Theory -- 11. Neural networks as statistical methods in survival analysis / Brian D. Ripley and Ruth M. Ripley -- 12. A review of techniques for extracting rules from trained artificial neural networks / Robert Andrews, Alan B. Tickle and Joachim Diederich -- 13. Confidence intervals and prediction intervals for feedforward neural networks / Richard Dybowski and Stephen J. Roberts -- Part IV. Ethics and clinical prospects -- 14. Artificial neural networks: practical considerations for clinical application / Vanya Gant, Susan Rodway and Jeremy Wyatt Datenverarbeitung Medizin Medicine / Research / Data processing Neural networks (Computer science) Clinical medicine / Decision making / Data processing |
| title | Clinical applications of artificial neural networks |
| title_auth | Clinical applications of artificial neural networks |
| title_exact_search | Clinical applications of artificial neural networks |
| title_full | Clinical applications of artificial neural networks edited by Richard Dybowski and Vanya Gant |
| title_fullStr | Clinical applications of artificial neural networks edited by Richard Dybowski and Vanya Gant |
| title_full_unstemmed | Clinical applications of artificial neural networks edited by Richard Dybowski and Vanya Gant |
| title_short | Clinical applications of artificial neural networks |
| title_sort | clinical applications of artificial neural networks |
| topic | Datenverarbeitung Medizin Medicine / Research / Data processing Neural networks (Computer science) Clinical medicine / Decision making / Data processing |
| topic_facet | Datenverarbeitung Medizin Medicine / Research / Data processing Neural networks (Computer science) Clinical medicine / Decision making / Data processing |
| url | https://doi.org/10.1017/CBO9780511543494 |
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