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Related Concept Videos

Dementia01:30

Dementia

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Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
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Hazard Rate01:11

Hazard Rate

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The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
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Actuarial Approach01:20

Actuarial Approach

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The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
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Related Experiment Video

Updated: Jul 16, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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Dementia death rates prediction.

Oleg Gaidai1, Vladimir Yakimov2, Rajiv Balakrishna3

  • 1Shanghai Ocean University, Shanghai, China. o_gaidai@just.edu.cn.

BMC Psychiatry
|September 22, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel bio-system reliability technique to predict future dementia death risks, offering accurate, narrow confidence intervals for public health planning.

Keywords:
AIDementiaMathematical biologyPublic healthRisk forecast

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Area of Science:

  • Public Health
  • Biostatistics
  • Epidemiology

Background:

  • Dementia poses a significant global public health challenge due to its high morbidity and mortality rates.
  • Existing statistical methods struggle with the complexity of multi-regional dementia data and nonlinear correlations.

Purpose of the Study:

  • To assess future risks of mortality from severe dementia across different regions.
  • To develop and apply a novel methodology for reliable long-term projections of dementia death risks.

Main Methods:

  • A novel bio-system reliability technique was developed, suited for multi-regional environmental, biological, and health systems.
  • The methodology utilizes raw clinical data from medical surveys and multiple centers.
  • It employs a population-based, bio-statistical approach to handle spatiotemporal observations.

Main Results:

  • A novel spatiotemporal health system reliability methodology was successfully developed and applied to dementia mortality data.
  • The method efficiently handles multi-regional, spatiotemporal clinical observations.
  • Accurate multi-regional spatiotemporal predictions of dementia death risks were achieved, with presented confidence intervals.

Conclusions:

  • The proposed approach demonstrates practical value for public health applications, including dementia risk prediction.
  • The narrow confidence bands for predicted dementia-associated death rates indicate the reliability of the prognostics.