Improved Healthcare Access in Low-resource Regions: A Review of Technological Solutions

B Lamichhane, N Neupane - arXiv preprint arXiv:2205.10913, 2022 - arxiv.org
Technological advancements have led to significant improvements in healthcare for
prevention, diagnosis, treatments, and care. While resourceful regions can capitalize on …

[HTML][HTML] Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study

Y Yang, S Madanian, D Parry - JMIR medical informatics, 2024 - medinform.jmir.org
Background The phenomenon of patients missing booked appointments without canceling
them—known as Did Not Show (DNS), Did Not Attend (DNA), or Failed To Attend (FTA) …

Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes

R Desure, GJ Krishna - arXiv preprint arXiv:2402.10999, 2024 - arxiv.org
Designing proper treatment plans to manage diabetes requires health practitioners to pay
heed to the individuals remaining life along with the comorbidities affecting them. Older …

AI Solutions for Inter-organisational Care: A Case Based Analysis

J Lindeberg, M Henkel, E Perjons… - World Conference on …, 2023 - Springer
Health care is a complex domain containing large amounts of data, including clinical and
administrative data. Furthermore, the domain includes advanced decision-making utilising …

MAIPFE: An Efficient Multimodal Approach Integrating Pre-Emptive Analysis, Personalized Feature Selection, and Explainable AI.

MD Sirapangi, S Gopikrishnan - Computers, Materials & …, 2024 - search.ebscohost.com
Abstract Medical Internet of Things (IoT) devices are becoming more and more common in
healthcare. This has created a huge need for advanced predictive health modeling …

Interpretable and robust hospital readmission predictions from Electronic Health Records

H Calero-Díaz, RA Hamad, C Atallah… - … Conference on Big …, 2023 - ieeexplore.ieee.org
Rates of Hospital Readmission (HR), defined as unplanned readmission within 30 days of
discharge, have been increasing over the years, and impose an economic burden on …

Risk Prediction of Opioid Dependency Using Machine Learning Based on Electronic Health Record

S Madanian, S Dai, P Natarajan… - 2023 IEEE Asia …, 2023 - ieeexplore.ieee.org
Opioid abuse and dependence have emerged as a pressing global concern, posing
significant challenges to public health and society. Early identification and prediction of …

Evaluation of Patient Discharge Information Between What Is Said and What Is Written

S Tailakh, MM Ahmad - Asia Pacific Journal of Health …, 2023 - search.informit.org
BACKGROUND: A patient's discharge from the hospital is considered a crucial transition.
Appropriate patient education about their condition and its treatment can reduce adverse …

Research on hospital information data statistics under the background of big data and artificial intelligence

T Chai - ICSETPSD 2023: Proceedings of the First International …, 2024 - books.google.com
With the continuous increase of online social media data, data has become a powerful
assistant for the competition and development of various industries, and various data …

[PDF][PDF] REFINED FORECASTING OF FUTURE HOSPITAL ADMISSIONS FOR ACCURATE OPERATIONAL PLANNING DECISIONS

J Mosselmans - 2023 - libstore.ugent.be
This thesis provides an answer to the request from the AZ Sint-Jan hospital in Bruges to find
a way to predict uncertain future hospital admissions to better plan their resources. This …