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Computers in Medical Activity

:	Edward Kacki, Marek Rudnicki, Joanna Stempczynska
:	Computers in Medical Activity
:	Springer-Verlag
:	9783642044625
:	Advances in Intelligent and Soft Computing
:	1
:	CHF 85.30
:

:	Allgemeines, Lexika
:	English

:	274
:	Wasserzeichen/DRM
:	PC/MAC/eReader/Tablet
:	PDF

Papers selected to the present monograph are only a small piece of subjects being investigated in Poland in the range of medical computer science. Their summaries and preliminary results were presented during the international conference 'Computers in Medical Activity' organized by the College of Computer Science in Lodz with the collaboration of the Polish Society of Medical Computer Science in Poland in 2007.

The subject matter of the monograph is mainly steered on employing the computer systems in the diagnostics then the equipment of the medical activity and the general problems connected with the organization the medical care.

	Title Page	2
	Preface	6
	Table of Contents	11
	Prophylasis	11
	The Estimation of Reliability in the Preventive Examination of Allergic Diseases with Knowledge Discovery Methods	14
	Introduction	14
	Allergic Diseases	15
	Knowledge Discovery	15
	Association Rules	16
	XML Standards in KDD	17
	Predictive Model Markup Language	17
	XQuery	17
	Model Building and Analysis	19
	Model Building	19
	Model Analysis	20
	Experiments and Preliminary Results	20
	Conclusions	22
	References	23
	Diagnosis	11
	Medical Diagnosis with Type-2 Fuzzy Decision Trees	24
	Introduction	24
	Type-2 Fuzzy Sets	25
	Type-2 Fuzzy Decision Trees	27
	Type-2 Fuzzy ID3 Algorithm	27
	Inference Process Using Type-2 Fuzzy Decision Tree	30
	Experimental Results	31
	Medical Data Description	31
	Results from Type-2 Fuzzy Decision Trees	32
	Conclusions	33
	References	33
	Ranked Modeling of Causal Sequences of Diseases for the Purpose of Early Diagnosis	35
	Introduction	35
	Ranked Relations between Feature Vectors Based on a Causal Sequence of Diseases	36
	Ranked Linear Transformations	37
	Designing Ranked Transformations through Minimization of the CPL Criterion Function	38
	Example: Causal Sequence of Liver Diseases	39
	Concluding Remarks	42
	Bibliography	43
	A Comparative Analysis of SPECT Images of the Left and Right Cerebral Hemispheres in Patients with Diagnosed Epileptic Symptoms	44
	Materials	44
	The Method	46
	Results	49
	Conclusions	51
	References	51
	Rough Set Theory in the Classification of Diagnoses	52
	Introduction	52
	Rough Set Theory in the Diagnostic Classification of Patients	53
	Theoretical Assumptions of the Classification Model	53
	The Practical Explanation of the Patients Allocation within Diagnostic Classes	55
	The Selection of Reducts from a Set of Conditional Attributes	57
	The Generation of Reducts by Dependency Rules	57
	The Action of Reducts in an Example	58
	Concluding Remarks	61
	References	62
	Computer Program for Aiding in Wireless Endoscopic Video Interpretation	63
	Introduction	63
	Model of Deformable Rings	65
	The MDR Optimization	66
	The MoDeRi Program Functionality	67
	The Program Evaluation	69
	References	70
	Segmentation of Biomedical Images Using Network of Synchronized Oscillators	72
	Introduction	72
	Image Preprocessing and Analysis	73
	Network of Synchronised Oscillators	74
	Image Segmentation Examples and Discussion	77
	Conclusion	80
	References	81
	MaZda The Software Package for Textural Analysis of Biomedical Images	82
	Introduction	82
	Image Analysis Pathways in MaZda	83
	Textural Features	84
	Regions of Interest	86
	Geometric Parameters	87
	Feature Selection and Reduction	88
	Texture Classification	88
	Feature Maps and Image Segmentation	90
	Applications	91
	References	92
	Gilbert-Multiplier-Based Parallel 1-D and 2-D Analog FIR Filters for Medical Diagnostics	94
	Introduction	94
	Basics of 1-D and 2-D FIR Filtration	96
	Implementation of FIR Filters Using Gilbert Vector Multipliers	97
	Implementation Issues of the Proposed 1-D Filter	99
	Implementation of 2-D Programmable Image Filter	102
	Multirate Systems Realized Using the GVM FIR Filters	105
	Conclusions	107
	References	107
	Biomedical Image Segmentation Based on Aggregated Morphological Spectra	109
	Introduction	109
	Basic Notions of Morphological Spectra	110
	Invariance to Geometrical Transformations	114
	Image Segmentation Based on $MS$ Discrimination	116
	Conclusions	119
	References	120
	Prognosis	12
	Application of Artificial Neural Network to Predict Survival Time for Patients with Bladder Cancer	121
	Introduction	121
	Problem Overview	122
	Applied Methodology and the Input Training Data	123
	Experimental Results	126
	Conclusions	128
	References	129
	Artificial Inteligence Methods in the Problems of Drug Side-Effects	131
	Introduction	131
	Material from Observation and Clinical Activity	132
	Artificial Neural Networks	133
	Experimental Study and Its Results	134
	Ending Remarks and Conclusions	134
	References	134
	Medical Equipment	12
	Programming Symbian Smartphones for the Blind and Visually Impaired	136
	Introduction	136
	Symbian Operating System (OS) for the Mobile Platforms	137
	Programming for the Symbian Platforms	137
	Phone Applications for the Blind/Visually Impaired Users	139
	Phone Functions	140
	Accessing Web Sites	141
	Image Processing Applications	142
	Conclusions	142
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