Computational and Mathematical Methods in Medicine

Computational Tools and Techniques for Early Diagnosis and Screening of Geriatric Diseases


Status
Published

Lead Editor

1Dong-A University, Busan, Republic of Korea

2University of Tokyo, Tokyo, Japan

3Waseda University, Tokorozawa, Japan


Computational Tools and Techniques for Early Diagnosis and Screening of Geriatric Diseases

Description

The unflinching matter of aging has always been one of the most important issues facing the governments of developed countries. In general, the older segments of the population tend to require more care in the area of health than other age groups and therefore need a greater share of health related expenditure. Despite the generally good piecewise approaches to prevention, diagnosis, and management of common chronic diseases, such as hypertension, diabetes, or cardiac ischemic diseases, the recognition, prevention, and management of geriatric syndrome are often less well performed. Geriatric syndrome is defined as a set of multifactorial conditions associated with deficits in clinical, psychosocial, and environmental domains. Future care of the elderly should be based on the ability to recognize and quantitatively assess early predictors of geriatric syndrome at the primary healthcare level in order to prevent, or limit, the latter development of geriatric syndrome. In cases where geriatric syndrome is established, quantitative techniques for monitoring the effectiveness of care and treatment of the disease are also necessary.

Usage of computational tools, new technical developments, and improvement in technologies involving wearable devices and sensors hold great promise for advancement of care systems for the elderly. Different academic disciplines have proposed a variety of meaningful advancements for both the initial screening, diagnosis, and care of different age-related diseases and disorders. Future potential exists for early screening and diagnosis of geriatric syndrome based on evaluation of continuous time-series data acquired during daily life, using analytical methods rooted in current mathematical, statistical, and computer science concepts/techniques. Such development of computational tools would herald a new era for both modeling and optimizing treatments of such diseases as sarcopenia, cognitive decline, mood disorder, frailty, and dependency, each of which is considered as a geriatric syndrome. This special issue will feature a number of thoughtful viewpoints on the present application of such computational tools with the goal of evaluating the current status quo through publication of research articles and review papers on the following topics.

Potential topics include but are not limited to the following:

  • Sarcopenia
  • Mild cognitive impairment and dementia
  • Mood disorder
  • Frail and fall
  • Physical and mental health
  • Sleep disorders/problems
  • Parkinson’s disease
  • Wearable technology and ICT/IoT based system in disease early screening
  • mHealth technologies for physical activity assessment
  • Computational and statistical methods for early screening of geriatric syndrome
  • Computer applications and mobile applications for healthcare in older people

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 7830584
  • - Editorial

Computational Tools and Techniques for Early Diagnosis and Screening of Geriatric Diseases

Hyuntae Park | Fimiharu Togo | Masashi Miyashita
  • Special Issue
  • - Volume 2018
  • - Article ID 4068493
  • - Research Article

Validity and Reliability of the Newly Developed Surface Electromyography Device for Measuring Muscle Activity during Voluntary Isometric Contraction

Myung Hun Jang | Se Jin Ahn | ... | Myung Jun Shin
  • Special Issue
  • - Volume 2018
  • - Article ID 8652034
  • - Review Article

A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling

Jinhyuk Kim | David Marcusson-Clavertz | ... | Hyuntae Park
  • Special Issue
  • - Volume 2018
  • - Article ID 2509413
  • - Research Article

Comparative Screening Analytic Methods for Elderly of Blood Methylmercury Concentration between Two Analytical Institutions

Byoung-Gwon Kim | Young-Seoub Hong | ... | Yu-Mi Kim
  • Special Issue
  • - Volume 2018
  • - Article ID 9128054
  • - Research Article

Mobile Personal Health Monitoring for Automated Classification of Electrocardiogram Signals in Elderly

Luis J. Mena | Vanessa G. Félix | ... | Gladys E. Maestre
  • Special Issue
  • - Volume 2018
  • - Article ID 2676409
  • - Review Article

Computational Techniques for Eye Movements Analysis towards Supporting Early Diagnosis of Alzheimer’s Disease: A Review

Jessica Beltrán | Mireya S. García-Vázquez | ... | Jean-François Dartigues
  • Special Issue
  • - Volume 2018
  • - Article ID 6084798
  • - Research Article

Automated Segmentation Methods of Drusen to Diagnose Age-Related Macular Degeneration Screening in Retinal Images

Young Jae Kim | Kwang Gi Kim
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate32%
Submission to final decision46 days
Acceptance to publication39 days
CiteScore3.400
Impact Factor1.770
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