[PDF][PDF] Literature study of stunting supplementation in Indonesian utilizing text mining approach

D Sudigyo, AA Hidayat, R Nirwantono… - Procedia Comput …, 2023 - researchgate.net
Numerous research on stunting supplementation interventions in Indonesia have been
published. The information can be extracted through data mining, especially from academic …

Role and challenges of unstructured big data in healthcare

K Adnan, R Akbar, SW Khor, ABA Ali - Data Management, Analytics and …, 2020 - Springer
Unprecedented growth in the volume of unstructured healthcare data has immense potential
in valuable insight extraction, improved healthcare services, quality patient care, and secure …

Context deep neural network model for predicting depression risk using multiple regression

JW Baek, K Chung - IEEE Access, 2020 - ieeexplore.ieee.org
Depression is a mental illness influenced by various factors, including stress in everyday life,
physical activities, and physical diseases. It accompanies such symptoms as continuous …

Prediction of traffic congestion based on LSTM through correction of missing temporal and spatial data

DH Shin, K Chung, RC Park - IEEE Access, 2020 - ieeexplore.ieee.org
With the rapid increase in vehicle use during the fourth Industrial Revolution, road resources
have reached their supply limit. Active studies have therefore been conducted on intelligent …

Optimization assisted bidirectional gated recurrent unit for healthcare monitoring system in big-data

PK Shukla, S Stalin, S Joshi, PK Shukla… - Applied Soft Computing, 2023 - Elsevier
A substantial amount of health-related data has been produced as a result of the
development of technology and expert systems. Due to noise, formats, size, missing values …

Big data and the little big bang: an epistemological (R) evolution

D Balazka, D Rodighiero - Frontiers in big Data, 2020 - frontiersin.org
Starting from an analysis of frequently employed definitions of big data, it will be argued that,
to overcome the intrinsic weaknesses of big data, it is more appropriate to define the object …

[HTML][HTML] A Review of Big Data Trends and Challenges in Healthcare

L Baloch, SU Bazai, S Marjan, F Aftab… - International Journal …, 2023 - ijtech.eng.ui.ac.id
The healthcare sector produces an enormous amount of complicated data from several
sources, such as health monitoring systems, medical devices, and electronic health records …

Knowledge-based hybrid decision model using neural network for nutrition management

JC Kim, K Chung - Information Technology and Management, 2020 - Springer
With the change in their social environment and life patterns, the eating habits of modern
people have become more diverse. Eating habits are closely related to health, and diet …

Knowledge-based dynamic cluster model for healthcare management using a convolutional neural network

K Chung, H Jung - Information Technology and Management, 2020 - Springer
Due to recent growing interest, the importance of preventive and efficient healthcare using
big data scattered throughout various IoT devices is being emphasized in healthcare, as …

Application of text mining and coupling theory to depth cognition of aviation safety risk

M Xiong, H Wang, C Che, M Sun - Reliability Engineering & System Safety, 2024 - Elsevier
Aviation accidents have attracted a lot of attention due to the fatalities and considerable
property loss. The complexity underlying these accidents is often the result of multiple risk …