AIMC Topic: Cost of Illness

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Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa.

BMC public health May 29, 2025
BACKGROUND: The global malaria burden is characterized by economic, geographical, and climatic disparities, especially in sub-Saharan Africa (SSA). Moreover, meteorological factors have become increasingly important to understand the malaria burden i...
Humans Machine Learning Geographic Information Systems Weather Africa South of the Sahara Climate Change Cost of Illness Spatio-Temporal Analysis Incidence Bayes Theorem Malaria
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Global burden of vertebral fractures from 1990 to 2021 and projections for the next three decades.

Journal of orthopaedic surgery and research May 17, 2025
BACKGROUND: Vertebral fractures are linked to significant disability and mortality risks. Yet, existing studies on their global burden are outdated and lack predictive foresight.
Global Burden of Disease Female Incidence Aged Spinal Fractures Aged, 80 and over Cost of Illness Adult Humans Male Forecasting Global Health Middle Aged Prevalence
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Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tianjin, China.

BMC public health Nov 24, 2022
BACKGROUND: This study aims to explore appropriate model for predicting the disease burden of pneumoconiosis in Tianjin by comparing the prediction effects of Autoregressive Integrated Moving Average (ARIMA) model, Deep Neural Networks (DNN) model an...
Humans Neural Networks, Computer Forecasting Models, Statistical China Cost of Illness Incidence Pneumoconiosis
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Automated Annotation of Epileptiform Burden and Its Association with Outcomes.

Annals of neurology Jul 20, 2021
OBJECTIVE: This study was undertaken to determine the dose-response relation between epileptiform activity burden and outcomes in acutely ill patients.
Female Aged Male Middle Aged Humans Artificial Intelligence Retrospective Studies Cost of Illness Cohort Studies Treatment Outcome Electroencephalography Seizures
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Accuracy of Algorithms to Identify People with Atopic Dermatitis in Ontario Routinely Collected Health Databases.

The Journal of investigative dermatology Feb 9, 2021
Machine Learning Databases, Factual Electronic Health Records Ontario Data Collection Dermatitis, Atopic Cost of Illness Administrative Claims, Healthcare Humans
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AI in Radiology: Where are we today in Multiple Sclerosis Imaging?

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jul 8, 2020
BACKGROUND:  MR imaging is an essential component in managing patients with Multiple sclerosis (MS). This holds true for the initial diagnosis as well as for assessing the clinical course of MS. In recent years, a growing number of computer tools wer...
Magnetic Resonance Imaging Humans Multiple Sclerosis Artificial Intelligence Cost of Illness Algorithms Prognosis Image Processing, Computer-Assisted
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Knowledge transfer as a tool towards improvement of cancer care in low- and middle-income countries. 6th European Roundtable Meeting (ERTM), June 14th, 2019, Berlin, Germany.

Journal of cancer research and clinical oncology Apr 8, 2020
PURPOSE: To identify key factors for the best practice of knowledge transfer from high-income settings to low- and middle-income settings.
Population Surveillance Delivery of Health Care Developing Countries Research Knowledge Bases Global Health Cost of Illness Humans Quality Improvement Neoplasms Developed Countries
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Prediction of caregiver burden in amyotrophic lateral sclerosis: a machine learning approach using random forests applied to a cohort study.

BMJ open Feb 28, 2020
OBJECTIVES: Amyotrophic lateral sclerosis (ALS) is a rare neurodegenerative disease that is characterised by the rapid degeneration of upper and lower motor neurons and has a fatal trajectory 3-4 years from symptom onset. Due to the nature of the con...
Aged, 80 and over Adult Middle Aged Humans Ireland Quality of Life Machine Learning Cohort Studies Caregiver Burden Aged Amyotrophic Lateral Sclerosis Caregivers Cost of Illness
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Artificial intelligence and the future of psychiatry: Insights from a global physician survey.

Artificial intelligence in medicine Nov 18, 2019
BACKGROUND: Futurists have predicted that new autonomous technologies, embedded with artificial intelligence (AI) and machine learning (ML), will lead to substantial job losses in many sectors disrupting many aspects of healthcare. Mental health appe...
Cost of Illness Surveys and Questionnaires Referral and Consultation Social Stigma Humans Adult Machine Learning Artificial Intelligence Cross-Sectional Studies Physicians Male Psychiatry Middle Aged Female
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Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing Methods.

JAMA network open Aug 2, 2019
IMPORTANCE: Quantifying patient-physician cost conversations is challenging but important as out-of-pocket spending by US patients increases and patients are increasingly interested in discussing costs with their physicians.
Cost of Illness Medicaid Ethnicity Middle Aged Humans Hospitalization United States Income Prevalence Intensive Care Units Aged Natural Language Processing Health Care Costs Primary Health Care Adult Female Medicare Male Health Expenditures
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