Computational Models for Biomedical Reasoning and Problem Solving
- 5h 33m
- Chung-Hao Chen, Sen-Ching Samson Cheung (eds)
- IGI Global
- 2019
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.
In this Book
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A System to Measure Physiological Response During Social Interaction in Vr for Children With Asd
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Electroencephalogram (Eeg) for Delineating Objective Measure of Autism Spectrum Disorder
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Predicting Adhd Using Eye Gaze Metrics Indexing Working Memory Capacity
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Computational Healthcare System with Image Analysis
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Deep Learning Models for Biomedical Image Analysis
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Development of a Classification Model for CD4 Count of Hiv Patients Using Supervised Machine Learning Algorithms: A Comparative Analysis
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The Importance of Anthraquinone and its Analogues and Molecular Docking Calculation
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The Importance of Ionic Liquids and Applications on their Molecular Modeling
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Sequential Importance Sampling for Logistic Regression Model
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