AIMC Topic: Life Expectancy
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An artificial intelligence-informed proof of concept model for an ecological framework of healthy longevity forcing factors in the United States.
Current problems in cardiology
Mar 14, 2025
Unhealthy lifestyle behaviors are a doorway to downstream health consequences characterized by the following: 1) poor quality of life and diminished mobility; 2) increased likelihood of chronic disease risk factors and diagnoses; and, ultimately, 3) ...
Digital Doppelgängers and Lifespan Extension: What Matters?
The American journal of bioethics : AJOB
Nov 14, 2024
There is an ongoing debate about the ethics of research on lifespan extension: roughly, using medical technologies to extend biological human lives beyond the current "natural" limit of about 120 years. At the same time, there is an exploding interes...
Multiorgan locked-state model of chronic diseases and systems pharmacology opportunities.
Drug discovery today
Nov 13, 2023
With increasing human life expectancy, the global medical burden of chronic diseases is growing. Hence, chronic diseases are a pressing health concern and will continue to be in decades to come. Chronic diseases often involve multiple malfunctioning ...
Role of the Health System in Combating Covid-19: Cross-Section Analysis and Artificial Neural Network Simulation for 124 Country Cases.
Social work in public health
Dec 28, 2020
In the fight against Covid-19, developed countries and developing countries diverge in success. This drew attention to the discussion of how different health systems and different levels of health spending are effective in combating Covid-19. In this...
Developing an Improved Statistical Approach for Survival Estimation in Bone Metastases Management: The Bone Metastases Ensemble Trees for Survival (BMETS) Model.
International journal of radiation oncology, biology, physics
May 22, 2020
PURPOSE: To determine whether a machine learning approach optimizes survival estimation for patients with symptomatic bone metastases (SBM), we developed the Bone Metastases Ensemble Trees for Survival (BMETS) to predict survival using 27 prognostic ...
Blood Cell Count
Spinal Neoplasms
Proportional Hazards Models
Kaplan-Meier Estimate
Area Under Curve
Analgesics, Opioid
Palliative Care
Life Expectancy
Karnofsky Performance Status
Reproducibility of Results
Male
Middle Aged
Steroids
Time Factors
Pelvic Bones
Bone Neoplasms
Machine Learning
Algorithms
Prognosis
Female
Humans
Patient selection for proton therapy: a radiobiological fuzzy Markov model incorporating robust plan analysis.
Physical and engineering sciences in medicine
Feb 10, 2020
While proton therapy can offer increased sparing of healthy tissue compared with X-ray therapy, it can be difficult to predict whether a benefit can be expected for an individual patient. Predictive modelling may aid in this respect. However, the pre...
Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records.
BMC medical informatics and decision making
Feb 28, 2019
BACKGROUND: Life expectancy is one of the most important factors in end-of-life decision making. Good prognostication for example helps to determine the course of treatment and helps to anticipate the procurement of health care services and facilitie...
A pilot study in using deep learning to predict limited life expectancy in women with recurrent cervical cancer.
American journal of obstetrics and gynecology
Aug 24, 2017
An efficient method for kidney allocation problem: a credibility-based fuzzy common weights data envelopment analysis approach.
Health care management science
Aug 9, 2017
Given the perennial imbalance and chronic scarcity between the demand for and supply of available organs, organ allocation is one of the most critical decisions in the management of organ transplantation networks. Organ allocation systems undergo rap...
Application of artificial neural network in medical geochemistry.
Environmental geochemistry and health
Mar 28, 2017
For the evaluation of various adverse health effects of chemical elements occurring in the environment on humans, the comparison and linking of geochemical data (chemical composition of groundwater, soils, and dusts) with data on health status of pop...
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