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Applications of multi-criteria decision-making theories in healthcare and biomedical engineering /

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Otros Autores:	Ozsahin, Ilker, Ozsahin, Dilber Uzun, Uzun, Berna
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	London : Academic Press, 2021.
Temas:	Clinical medicine > Decision making. Biomedical engineering > Decision making. Multiple criteria decision making. M�edecine clinique > Prise de d�ecision. G�enie biom�edical > Prise de d�ecision. D�ecision multicrit�ere. Clinical medicine > Decision making Multiple criteria decision making
Acceso en línea:	Texto completo

Tabla de Contenidos:

Cover
Title page
Copyright
Contents
Contributors
Chapter 1
Introduction
1.1
Introduction
1.2
The components of the MCDM problem
Chapter 2
Theoretical aspects of multi-criteria decision-making (MCDM) methods
2.1
Introduction
2.2
History of multi-criteria decision-making analysis (MCDA)
2.2.1
Birth of the special group on MCDM
2.3
Definition of concepts
2.4
Multi-criteria Decision Analysis (MCDA)
2.4.1
Important steps to follow
2.4.1.1
Step 1: Identify the problem
2.4.1.2
Step 2: Make objectives
2.4.1.3
Step 3: Define criteria
2.4.1.4
Step 4. Develop a list of options
2.4.1.5
Step 5: Evaluate options
2.4.1.6
Step 6: Calculation
2.4.1.7
Step 7. Documentation
2.4.2
MCDA Methods
2.4.2.1
AHP
2.4.2.1.1
Stages of the AHP
2.4.2.2
TOPSIS
2.4.2.3
ELECTRE
2.4.2.4
PROMETHEE
2.4.2.5
VIKOR
2.4.2.6
DEA
2.4.2.7
Fuzzy logic-based MCDM
2.4.2.7.1
Fuzzy sets
2.4.2.7.1.1
The mathematical definition of fuzzy sets
2.4.2.7.1.2
Representation of fuzzy sets
2.4.2.7.1.3
Fuzzy sets operations
2.4.2.7.1.4
Properties of fuzzy sets
2.4.2.7.1.5
Membership function
2.4.2.7.2
Fuzzification
2.4.2.7.3
Defuzzification
2.4.2.7.4
Fuzzy sets algebraic operations
References
Chapter 3
Fuzzy PROMETHEE-based evaluation of brain cancer treatment techniques
3.1
Introduction
3.2
Treatment techniques
3.2.1
Surgery
3.2.2
Chemotherapy
3.2.3
Targeted therapy
3.2.4
Radiotherapy
3.2.5
Radiosurgery
3.2.6
Hyperthermia
3.3
Materials and methodology
3.4
Results and discussion
3.5
Conclusions
References
Chapter 4
Evaluation of stage IV brain cancer treatment techniques
4.1
Introduction
4.2
Stage IV brain cancer treatment techniques.
4.2.1
Surgery
4.2.2
Radiation therapy
4.2.3
Chemotherapy
4.2.4
Targeted drug therapy
4.2.5
Alternating electric field therapy or tumor treating fields (TTF)
4.3
Materials and methods
4.3.1
Fuzzy logic
4.3.2
Multi-criteria decision making
4.3.3
Preference ranking organization method for enrichment evaluations (PROMETHEE)
4.4
Results
4.5
Discussion
4.6
Conclusions
References
Chapter 5
Analysis of early stage breast cancer treatment techniques
5.1
Introduction
5.1.1
Surgery
5.1.2
Radiation therapy
5.1.3
Chemotherapy
5.1.4
Targeted therapy
5.1.5
Hormone therapy
5.2
Fuzzy logic and PROMETHEE
5.3
Results
5.4
Conclusion
References
Chapter 6
Fuzzy PROMETHEE-based evaluation of skin cancer treatment techniques
6.1
Introduction
6.1.1
Problem statement
6.2
Surgical treatment techniques
6.2.1
Surgery
6.2.2
Mohs surgery
6.2.3
Cryosurgery
6.2.4
Curettage and electrodesication
6.2.5
Dermabrasion
6.2.6
Excision
6.2.6.1
Simple excision
6.2.6.2
Shave excision
6.2.7
Laser surgery
6.3
Nonsurgical treatment techniques
6.3.1
Radiation therapy
6.3.1.1
External beam radiation therapy (EBRT)
Procedure: Simulation and planning
Treatment session
Intensity modulated radiation therapy (IMRT)
Image-guided radiation therapy (IGRT)
Internal radiation therapy (brachytherapy)
6.3.2
Chemotherapy
6.3.2.1
Systematic chemotherapy
6.3.2.2
Topical chemotherapy
6.3.3
Photodynamic therapy
6.3.4
Immunotherapy
6.3.5
Targeted therapy
6.4
Methodology
6.4.1
Preference ranking organization method for enrichment of evaluations (PROMETHEE)
6.5
Results and discussion
6.5.1
Surgical techniques
6.5.2
Nonsurgical techniques.
6.5.3
Surgery techniques and nonsurgical techniques combined
6.6
Conclusions
References
Further reading
Chapter 7
Fuzzy PROMETHEE-based evaluation of prostate cancer treatment techniques
7.1
Introduction
7.2
Prostate cancer therapy techniques
7.2.1
Chemotherapy
7.2.2
Radiotherapy
7.2.2.1
Intensity-modulated radiation therapy (IMRT)
7.2.2.2
Proton beam radiation therapy
7.2.3
Hormone therapy
7.2.4
Surgery
7.2.5
Therapeutic vaccine treatment
7.2.6
Bone-directed treatment
7.3
Methodology
7.3.1
Criteria selection and preference
7.3.2
Fuzzy PROMETHEE
7.3.3
Application of fuzzy PROMETHEE
7.4
Results and discussion
7.5
Conclusions
References
Further reading
Chapter 8
Comparative evaluation of point-of-care glucometer devices in the management of diabetes mellitus
8.1
Introduction
8.2
Selected glucometers
8.2.1
Freestyle Lite
8.2.2
Accu-Chek Aviva
8.2.3
OneTouch Verio IQ
8.2.4
OneTouch Ultrasmart
8.2.5
TrueTrack
8.2.6
Ascensia Contour USB
8.2.7
Omnitest 3
8.2.8
iHealth Align
8.3
Materials and methods
8.3.1
A brief history
8.3.2
Fuzzy logic
8.3.3
Multicriteria decision-making
8.3.4
Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE)
8.3.5
The steps of the PROMETHEE method
8.3.6
Application of fuzzy PROMETHEE
8.4
Results
8.5
Conclusions
References
Further reading
Chapter 9
Comparison of MRI devices in dentistry
9.1
Introduction
9.1.1
Main criteria
9.1.1.1
Magnet types
9.1.1.1.1
Permanent MRI magnets
9.1.1.1.2
Resistive (air core) MRI magnets
9.1.1.1.3
Hybrid MRI magnets
9.1.1.1.4
Superconductive MRI magnets
9.1.1.2
Magnetic field strength
9.1.1.3
Bore size.
9.1.1.4
Configuration (clinical approach)
9.1.1.5
Field of view (FOV)
9.1.1.6
Imaging modes (sequences)
9.1.1.7
Fringe field
9.1.1.8
Cost
9.1.1.9
Synchronization strategy
9.1.1.10
Magnet weight and size
9.1.2
MRI applications in dentistry
9.1.2.1
Temporomandibular joint (TMJ)
9.1.2.2
Orthodontics
9.1.2.3
Prosthodontics/implantology
9.1.2.4
Malignancies
9.1.2.5
Salivary gland
9.1.2.6
Osteomyelitis
9.1.2.7
Vascular pathologies
9.2
Materials and methods
9.3
Results and discussion
9.4
Conclusion
References
Chapter 10
Application of fuzzy PROMETHEE on hearing aid
10.1
Introduction
10.2
Materials and methods
10.2.1
Hearing aids
10.2.2
In-the-ear (ITE)
10.2.3
In-the-canal (ITC)
10.2.4
Invisible-in-canal (IIC)
10.2.5
Completely-in-canal (CIC)
10.2.6
Behind-the-ear (BTE)
10.2.7
Receiver-in-canal (RIC)
10.3
Fuzzy PROMETHEE
10.4
Results and discussion
10.5
Conclusions
References
Further reading
Chapter 11
A comparative study of X-ray based medical imaging devices
11.1
Introduction
11.1.1
Medical applications of X-ray radiography
11.1.2
A brief history
11.2
Medical imaging devices
11.2.1
X-ray radiography
11.2.2
Angiography
11.2.3
Computed tomography
11.2.4
Fluoroscopy
11.2.5
Mammography
11.3
Methodology
11.3.1
TOPSIS
11.4
Results
11.5
Conclusions
References
Chapter 12
Evaluation and simulation of dental instrument sterilization techniques with fuzzy PROMETHEE
12.1
Introduction
12.2
Materials and methods
12.2.1
Moist heat
12.2.2
Dry heat
12.2.3
Chemical agents
12.2.4
Gases
12.2.5
Radiation
12.3
Fuzzy logic
12.4
Results and discussion
12.5
Conclusion
Acknowledgments.
Chapter 18
Evaluation of migraine drugs using MCDM methods.

Applications of multi-criteria decision-making theories in healthcare and biomedical engineering /

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