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Computational Models for Biomedical Reasoning and Problem Solving [Kõva köide]

  • Formaat: Hardback, 325 pages, kõrgus x laius: 254x178 mm, kaal: 633 g
  • Ilmumisaeg: 12-Apr-2019
  • Kirjastus: IGI Global
  • ISBN-10: 1522574670
  • ISBN-13: 9781522574675
Teised raamatud teemal:
  • Formaat: Hardback, 325 pages, kõrgus x laius: 254x178 mm, kaal: 633 g
  • Ilmumisaeg: 12-Apr-2019
  • Kirjastus: IGI Global
  • ISBN-10: 1522574670
  • ISBN-13: 9781522574675
Teised raamatud teemal:
The results of computational model simulations allow researchers and clinicians to make predictions about what will happen in the biological systems that are being studied in response to changing conditions for a disease or disorder. With a well-developed computational model, researchers and clinicians can better understand the cause of a disease or a disorder and predict treatment results.

Computational Models for Biomedical Reasoning and Problem Solving is a critical scholarly publication that provides insightful strategies to developing computational models that allow for the better understanding and treatment of various diseases and disorders. Featuring topics such as biomedicine, neuroscience, and artificial intelligence, this book is ideal for practitioners, clinicians, researchers, psychologists, and engineers.
Preface xiv
Acknowledgment xvii
Chapter 1 A System to Measure Physiological Response During Social Interaction in VR for Children With ASD
1(33)
Karla Conn Welch
Uttama Lahiri
Zachary E. Warren
Nilanjan Sarkar
Chapter 2 Electroencephalogram (EEG) for Delineating Objective Measure of Autism Spectrum Disorder
34(32)
Sampath Jayarathna
Yasith Jayawardana
Mark Jaime
Sashi Thapaliya
Chapter 3 Predicting ADHD Using Eye Gaze Metrics Indexing Working Memory Capacity
66(23)
Anne M. P. Michalek
Gavindya Jayawardena
Sampath Jayarathna
Chapter 4 Computational Healthcare System With Image Analysis
89(39)
Ramgopal Kashyap
Chapter 5 Deep Learning Models for Biomedical Image Analysis
128(21)
Bo Ji
Wenlu Zhang
Rongjian Li
Hao Ji
Chapter 6 Development of a Classification Model for CD4 Count of HIV Patients Using Supervised Machine Learning Algorithms: A Comparative Analysis
149(28)
Peter Adebayo Idowu
Jeremiah Ademola Balogun
Chapter 7 The Importance of Anthraquinone and Its Analogues and Molecular Docking Calculation
177(29)
Sefa Celik
Funda Ozkok
Sevim Akyuz
Aysen E. Ozel
Chapter 8 The Importance of Ionic Liquids and Applications on Their Molecular Modeling
206(25)
Sefa Celik
Ali Tugrul Albayrak
Sevim Akyuz
Aysen E. Ozel
Chapter 9 Sequential Importance Sampling for Logistic Regression Model
231(25)
Ruriko Yoshida
Hisayuki Hara
Patrick M. Saluke
Compilation of References 256(54)
Related References 310(36)
About the Contributors 346(6)
Index 352