AIMC Topic: Aged

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Novel Machine Learning Approach to Identify Preoperative Risk Factors Associated With Super-Utilization of Medicare Expenditure Following Surgery.

JAMA surgery
IMPORTANCE: Typically defined as the top 5% of health care users, super-utilizers are responsible for an estimated 40% to 55% of all health care costs. Little is known about which factors may be associated with increased risk of long-term postoperati...

Robotic Combined Anterior & Posterior Repair of a Rectal Prolapse, Rectocele, and Sigmoidocele with a Mesh.

Polski przeglad chirurgiczny
Rectal prolapse (RP) is often seen in patients over the age of fifty, particularly women. These patients frequently suffer from other concomitant pathologies like rectocele, sigmoidocele, cystocele, or even enterocele. Rectopexy with a mesh has been ...

[The robotic assistance system.].

Recenti progressi in medicina
The aging of the population is a reality common to the entire Western world, while the time available and human resources are limited. According to many experts, the new robotic technologies could help meet the care needs of the elderly, at home and ...

Sarcopenia feature selection and risk prediction using machine learning: A cross-sectional study.

Medicine
The purpose of this study was to verify the usefulness of machine learning (ML) for selection of risk factors and development of predictive models for patients with sarcopenia.We collected medical records from Korean postmenopausal women based on Kor...

Histogram analysis of absolute cerebral blood volume map can distinguish glioblastoma from solitary brain metastasis.

Medicine
Glioblastoma multiforme (GBM) is difficult to be separated from solitary brain metastasis (sBM) in clinical practice. This study aimed to distinguish two entities by the histogram analysis of absolute cerebral blood volume (CBV) map.From March 2016 t...

Natural Language Processing Approaches to Detect the Timeline of Metastatic Recurrence of Breast Cancer.

JCO clinical cancer informatics
PURPOSE: Electronic medical records (EMRs) and population-based cancer registries contain information on cancer outcomes and treatment, yet rarely capture information on the timing of metastatic cancer recurrence, which is essential to understand can...

Predicting weaning difficulty for planned extubation patients with an artificial neural network.

Medicine
This study aims to construct a neural network to predict weaning difficulty among planned extubation patients in intensive care units.This observational cohort study was conducted in eight adult ICUs in a medical center about adult patients experienc...