Neural and Kernal Methods for Therapeutic Drug Monitoring

Neural and Kernal Methods for Therapeutic Drug Monitoring

G. Camps-Valls (Universitat de Valencia, Spain) and J. D. Martin-Guerrero (Universitat de Valencia, Spain)
Copyright: © 2006 |Pages: 24
DOI: 10.4018/978-1-59140-848-2.ch011
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Recently, important advances in dosage formulations, therapeutic drug monitoring (TDM), and the emerging role of combined therapies have resulted in a substantial improvement in patients’ quality of life. Nevertheless, the increasing amounts of collected data and the non-linear nature of the underlying pharmacokinetic processes justify the development of mathematical models capable of predicting concentrations of a given administered drug and then adjusting the optimal dosage. Physical models of drug absorption and distribution and Bayesian forecasting have been used to predict blood concentrations, but their performance is not optimal and has given rise to the appearance of neural and kernel methods that could improve it. In this chapter, we present a complete review of neural and kernel models for TDM. All presented methods are theoretically motivated, and illustrative examples in real clinical problems are included.

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Table of Contents
Rezaul Begg, Joarder Kamruzzaman, Ruhul Sarker
Rezaul Begg, Joarder Kamruzzaman, Ruhul Sarker
Chapter 1
Joarder Kamruzzaman, Rezaul Begg, Ruhul Sarker
Artificial neural network (ANN) is one of the main constituents of the artificial intelligence techniques. Like in many other areas, ANN has made a... Sample PDF
Overview of Artificial Neural Networks and their Applications in Healthcare
Chapter 2
Wolfgang I. Schollhorn, Jörg M. Jager
This chapter gives an overview of artificial neural networks as instruments for processing miscellaneous biomedical signals. A variety of... Sample PDF
A Survey on Various Applications of Artificial Neural Networks in Selected Fields of Healthcare
Chapter 3
Chris D. Nugent, Dewar D. Finlay, Mark P. Donnelly, Norman D. Black
Electrical forces generated by the heart are transmitted to the skin through the body’s tissues. These forces can be recorded on the body’s surface... Sample PDF
The Role of Neural Networks in Computerized Classification of the Electrocardiogram
Chapter 4
G. Camps-Valls, J. F. Guerrero-Martinez
In this chapter, we review the vast field of application of artificial neural networks in cardiac pathology discrimination based on... Sample PDF
Neural Networks in ECG Classification: What is Next for Adaptive Systems?
Chapter 5
Peng Li, Kap L. Chan, Sheng Fu, Shankar M. Krishnan
n this chapter, a new concept learning-based approach is presented for abnormal ECG beat detection to facilitate long-term monitoring of heart... Sample PDF
A Concept Learning-Based Patient-Adaptable Abnormal ECG Beat Detector for Long-Term Monitoring of Heart Patients
Chapter 6
Toshio Tsuji, Nan Bu, Osamu Fukuda
In the field of pattern recognition, probabilistic neural networks (PNNs) have been proven as an important classifier. For pattern recognition of... Sample PDF
A Recurrent Probabilistic Neural Network for EMG Pattern Recognition
Chapter 7
Toshio Tsuji, Kouji Tsujimura, Yoshiyuki Tanaka
In this chapter, an advanced intelligent dual-arm manipulator system teleoperated by EMG signals and hand positions is described. This myoelectric... Sample PDF
Myoelectric Teleoperation of a Dual-Arm Manipulator Using Neural Networks
Chapter 8
Markad V. Kamath, Adrian R. Upton, Jie Wu, Harjeet S. Bajaj, Skip Poehlman, Robert Spaziani
The artificial neural networks (ANNs) are regularly employed in EEG signal processing because of their effectiveness as pattern classifiers. In this... Sample PDF
Artificial Neural Networks in EEG Analysis
Chapter 9
Robert T. Davey, Paul J. McCullagh, H. Gerry McAllister, H. Glen Houston
We have analyzed high and low level auditory brainstem response data (550 waveforms over a large age range; 126 were repeated sessions used in... Sample PDF
The Use of Artificial Neural Networks for Objective Determination of Hearing Threshold Using the Auditory Brainstem Response
Chapter 10
Rezaul Begg, Joarder Kamruzzaman
This chapter provides an overview of artificial neural network applications for the detection and classification of various gaits based on their... Sample PDF
Movement Pattern Recognition Using Neural Networks
Chapter 11
G. Camps-Valls, J. D. Martin-Guerrero
Recently, important advances in dosage formulations, therapeutic drug monitoring (TDM), and the emerging role of combined therapies have resulted in... Sample PDF
Neural and Kernal Methods for Therapeutic Drug Monitoring
Chapter 12
Yos S. Morsi, Subrat Das
This chapter describes the utilization of computational fluid dynamics (CFD) with neural network (NN) for analysis of medical devices. First, the... Sample PDF
Computational Fluid Dynamics and Neural Network for Modeling and Simulations of Medical Devices
Chapter 13
Balázs Benyo
This chapter deals with the analysis of spontaneous changes occurring in two physiological parameters: the cerebral blood flow and respiration.... Sample PDF
Analysis of Temporal Patterns of Physiological Parameters
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