AIMC Topic: Health Services Needs and Demand
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Predicting total healthcare demand using machine learning: separate and combined analysis of predisposing, enabling, and need factors.
BMC health services research
Mar 12, 2025
OBJECTIVE: Predicting healthcare demand is essential for effective resource allocation and planning. This study applies Andersen's Behavioral Model of Health Services Use, focusing on predisposing, enabling, and need factors, using data from the 2022...
Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand.
Scientific reports
Mar 11, 2025
This study aims to construct a prediction model for the demand for medical and daily care services of the elderly and to explore the factors that affect the demand for medical and daily care services of the elderly. In this study, a questionnaire sur...
Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK.
PloS one
Jan 27, 2025
During winter months, there is increased pressure on health care systems in temperature climates due to seasonal increases in respiratory illnesses. Providing real-time short-term forecasts of the demand for health care services helps managers plan t...
Identifying definite patterns of unmet needs in patients with multiple sclerosis using unsupervised machine learning.
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Feb 23, 2024
INTRODUCTION: People with multiple sclerosis (PwMS) exhibit a spectrum of needs that extend beyond solely disease-related determinants. Investigating unmet needs from the patient perspective may address daily difficulties and optimize care. Our aim w...
Predicting clinical outcomes in COVID-19 using radiomics on chest radiographs.
The British journal of radiology
Sep 14, 2021
OBJECTIVES: For optimal utilization of healthcare resources, there is a critical need for early identification of COVID-19 patients at risk of poor prognosis as defined by the need for intensive unit care and mechanical ventilation. We tested the fea...
Development and Prospective Validation of a Deep Learning Algorithm for Predicting Need for Mechanical Ventilation.
Chest
Dec 17, 2020
BACKGROUND: Objective and early identification of hospitalized patients, and particularly those with novel coronavirus disease 2019 (COVID-19), who may require mechanical ventilation (MV) may aid in delivering timely treatment.
Exploring the Intersection between Social Determinants of Health and Unmet Dental Care Needs Using Deep Learning.
International journal of environmental research and public health
Oct 6, 2020
The goals of this study were to develop a risk prediction model in unmet dental care needs and to explore the intersection between social determinants of health and unmet dental care needs in the United States. Data from the 2016 Medical Expenditure ...
Integrating autonomously navigating assistance systems into the clinic: guiding principles and the ANTS-OR approach.
International journal of computer assisted radiology and surgery
Apr 2, 2020
PURPOSE: Autonomously self-navigating clinical assistance systems (ASCAS) seem highly promising for improving clinical workflows. There is great potential for easing staff workload and improving overall efficiency by reducing monotonous and physicall...
Machine Learning-Based Forecast of Hemorrhagic Stroke Healthcare Service Demand considering Air Pollution.
Journal of healthcare engineering
Nov 3, 2019
This study aimed to forecast the pattern of the demand for hemorrhagic stroke healthcare services based on air quality and machine learning. Hemorrhagic stroke, air quality, and meteorological data for 2016-2017 were obtained from the Longquanyi Dist...
Community-dwelling older adults' needs and acceptance regarding the use of robot technology to assist with daily living performance.
BMC geriatrics
Aug 5, 2019
BACKGROUND: The rate of aging in Korea is extremely fast compared to major countries. We examined the key demands of community-dwelling older adults with regard to Connected Active Space technology, which provides tailored assistance with daily livin...
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