scholarly journals Development of the New Center Based on the Unification between Medical Science and Engineering

2005 ◽  
Vol 125 (7) ◽  
pp. 389-389
Author(s):  
Kaichi ISONO
Keyword(s):  
Medical Science ◽  
Science And Engineering

scholarly journals The Medical Science Research and Development Supported by the Korea Science and Engineering Foundation

2005 ◽  
Vol 20 (3) ◽  
pp. 345 ◽  
Author(s):  
Tae-Sun Min ◽  
Jin Han ◽  
Seong-Yong Kim ◽  
Byoung-Doo Rhee ◽  
Myung-Suk Kim
Keyword(s):  
Research And Development ◽  
Medical Science ◽  
Science Research ◽  
Science And Engineering

scholarly journals A better approach to discuss medical science and engineering data with a modified Lehmann Type – II model

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 823
Author(s):  
Muhammad Zafar Iqbal ◽  
Muhammad Zeshan Arshad ◽  
Gamze Özel ◽  
Oluwafemi Samson Balogun
Keyword(s):  
Medical Science ◽  
Likelihood Estimation ◽  
Quantile Function ◽  
Model Parameters ◽  
Type Ii ◽  
Reliability Engineering ◽  
Reliability Measures ◽  
Science And Engineering ◽  
Engineering Data ◽  
Engineering Hydrology

Background: Modeling with the complex random phenomena that are frequently observed in reliability engineering, hydrology, ecology, medical science, and agricultural sciences was once thought to be an enigma. Scientists and practitioners agree that an appropriate but simple model is the best choice for this investigation. To address these issues, scientists have previously discussed a variety of bounded and unbounded, simple to complex lifetime models. Methods: We discussed a modified Lehmann type II (ML-II) model as a better approach to modeling bathtub-shaped and asymmetric random phenomena. A number of complementary mathematical and reliability measures were developed and discussed. Furthermore, explicit expressions for the moments, quantile function, and order statistics were developed. Then, we discussed the various shapes of the density and reliability functions over various model parameter choices. The maximum likelihood estimation (MLE) method was used to estimate the unknown model parameters, and a simulation study was carried out to evaluate the MLEs' asymptotic behavior. Results: We demonstrated ML- II's dominance over well-known competitors by modeling anxiety in women and electronic data.

Artificial Intelligence in Medical Science

2019 ◽  
pp. 306-330
Author(s):  
Shashwati Mishra ◽  
Mrutyunjaya Panda
Keyword(s):  
Medical Science ◽  
Data Retrieval ◽  
Analysis Data ◽  
Disease Diagnosis ◽  
Human Beings ◽  
Science And Engineering ◽  
Patient Health Status ◽  
Patient Health ◽  
Intelligent Devices ◽  
Nature Inspired Algorithms

The use of intelligent artificial devices has solved many real-world problems and also improved the living style of human beings. The capability of providing unbiased and accurate result has also increased the demand for these devices. For getting faster and well-organized outcomes, scientists and researchers are giving more and more interest in developing such devices. Use of expert systems, concepts from nature-inspired algorithms, neural networks, genetic algorithms, fuzzy logic, internet of things are used extensively to solve various problems in science and engineering. In medical science these techniques are used for data analysis, disease diagnosis, data retrieval, object detection, pattern analysis, data management, monitoring patient health status by physicians, interactions between patients and physicians, keeping record of the medications of the patients, and so on. This chapter performs a detailed analysis on the use of intelligent devices in medical science and about the root concepts on which these devices are designed.

Special Issue on Medical Science and Engineering Cooperation

2012 ◽  
Vol 24 (5) ◽  
pp. 717-717
Author(s):  
Hideaki Takanobu ◽  
Taketoshi Mori
Keyword(s):  
Life Support ◽  
Surgical Navigation ◽  
Medical Science ◽  
Well Being ◽  
Special Issue ◽  
Science And Engineering ◽  
Human Welfare ◽  
Average Life Span ◽  
System Life

Intentions for health and well-being are increasing as associated technology has progressed. In 2011, the average life span of Japanese men was 79.44 years and that of women was 85.90 years. This situation has made cooperation in medical science and engineering an important issue in robotics and mechatronics research. In the same way, cooperation in medical science and engineering has come to include operations support, life support, informational intelligence, virtual reality, and so on. The following special issues in the Journal of Robotics and Mechatronics have been related to medical science and engineering: - Special Issue on Service Technology for Health andWell-Being, Vol.20, No.6. - Special Issue on Human Modeling in Robotics, Vol.17, No.6. - Special Issue on Advanced Mechatronics Technology for Life Support and Human Welfare, Vol.4, No.4. This next special issue centers on the following keywords: wheelchair, rehabilitation support system, life pattern estimation, blood flow measurement, diagnostic probe, surgical navigation, children, blood pressure, safe actuator, gait rehabilitation, measurement, and children’s behavior. We thank all of the authors who have submitted their papers for this special issue and reviewers for their time and effort. We also thank the JRM Editorial Board for the opportunity to take part in this work.

Medical Informatics: Between Science and Engineering, Between Academia and Industry

2002 ◽  
Vol 41 (01) ◽  
pp. 08-11 ◽  
Author(s):  
Y. Shahar
Keyword(s):  
Medical Informatics ◽  
Health Care Organizations ◽  
Medical Science ◽  
Science And Engineering ◽  
Academic Environments ◽  
Industrial Sites ◽  
Industrial Companies ◽  
Technological Area ◽  
Basic Medical

Summary Objective: To analyze the nature and appropriate role of the Medical Informatics research and practice area in the 21st Century, and to determine its links to academic environments versus industrial companies and health-care organizations. Methods: A qualitative analysis of the state of the art of Medical Informatics, based on observation of current medical informatics programs and research in academic and industrial sites. Results and Conclusions: Medical Informatics is definitely a scientific and technological area of endeavor, although somewhat ill-defined in scope. It is situated between science and engineering, but much closer to the engineering world, and its multidisciplinary nature fits well the engineering paradigm. It is better viewed as a specialization of the informatics field rather than as a basic medical science. However, there are good arguments as to why Medicine should be the first among equals to have its own informatics domain. Medical Informatics must have extensions to both academia and industry to survive. Medical informaticians, whether implicitly or explicitly, exist in three different environments: academic, clinical (user), and industrial (informatics developer); all three environments must be considered when trying to predict the future of this new multi-disciplinary area.

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