Treatment of posttraumatic stress disorder: a state-of-the-art review

L Burback, S Brult-Phillips, MJ Nijdam… - Current …, 2024 - benthamdirect.com
This narrative state-of-the-art review paper describes the progress in the understanding and
treatment of Posttraumatic Stress Disorder (PTSD). Over the last four decades, the scientific …

Big data and disaster management: a systematic review and agenda for future research

S Akter, SF Wamba - Annals of Operations Research, 2019 - Springer
The era of big data and analytics is opening up new possibilities for disaster management
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …

Prediction of in‐hospital mortality in emergency department patients with sepsis: a local big data–driven, machine learning approach

RA Taylor, JR Pare, AK Venkatesh… - Academic …, 2016 - Wiley Online Library
Objectives Predictive analytics in emergency care has mostly been limited to the use of
clinical decision rules (CDR s) in the form of simple heuristics and scoring systems. In the …

Making sense of big data in health research: towards an EU action plan

C Auffray, R Balling, I Barroso, L Bencze, M Benson… - Genome medicine, 2016 - Springer
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing
and high-resolution imaging technologies are key drivers of this rapid and crucial …

A systematic review on healthcare analytics: application and theoretical perspective of data mining

MS Islam, MM Hasan, X Wang, HD Germack… - Healthcare, 2018 - mdpi.com
The growing healthcare industry is generating a large volume of useful data on patient
demographics, treatment plans, payment, and insurance coverage—attracting the attention …

Based real time remote health monitoring systems: A review on patients prioritization and related" big data" using body sensors information and communication …

N Kalid, AA Zaidan, BB Zaidan, OH Salman… - Journal of medical …, 2018 - Springer
The growing worldwide population has increased the need for technologies, computerised
software algorithms and smart devices that can monitor and assist patients anytime and …

Predicting urinary tract infections in the emergency department with machine learning

RA Taylor, CL Moore, KH Cheung, C Brandt - PloS one, 2018 - journals.plos.org
Background Urinary tract infection (UTI) is a common emergency department (ED) diagnosis
with reported high diagnostic error rates. Because a urine culture, part of the gold standard …

A hybrid stacked CNN and residual feedback GMDH-LSTM deep learning model for stroke prediction applied on mobile AI smart hospital platform

BM Elbagoury, L Vladareanu, V Vlădăreanu, AB Salem… - Sensors, 2023 - mdpi.com
Artificial intelligence (AI) techniques for intelligent mobile computing in healthcare has
opened up new opportunities in healthcare systems. Combining AI techniques with the …

Enhancing digital health services with big data analytics

N Berros, F El Mendili, Y Filaly… - Big data and cognitive …, 2023 - mdpi.com
Medicine is constantly generating new imaging data, including data from basic research,
clinical research, and epidemiology, from health administration and insurance …

[HTML][HTML] Big data handling mechanisms in the healthcare applications: A comprehensive and systematic literature review

A Pashazadeh, NJ Navimipour - Journal of biomedical informatics, 2018 - Elsevier
Healthcare provides many services such as diagnosing, treatment, prevention of diseases,
illnesses, injuries, and other physical and mental disorders. Large-scale distributed data …