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 …
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) …
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 …
heed to the individuals remaining life along with the comorbidities affecting them. Older …
AI Solutions for Inter-organisational Care: A Case Based Analysis
Health care is a complex domain containing large amounts of data, including clinical and
administrative data. Furthermore, the domain includes advanced decision-making utilising …
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 …
healthcare. This has created a huge need for advanced predictive health modeling …
Interpretable and robust hospital readmission predictions from Electronic Health Records
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 …
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 …
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 …
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 …
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 …
a way to predict uncertain future hospital admissions to better plan their resources. This …