Results 41 to 50 of about 8,758 (210)
Co‐DeepNet: A Cooperative Convolutional Neural Network for DNA Methylation‐Based Age Prediction
ABSTRACT Prediction of the age of each individual is possible using the changing pattern of DNA methylation with age. In this paper an age prediction approach to work out multivariate regression problems using DNA methylation data is developed. In this research study a convolutional neural network (CNN)‐based model optimised by the genetic algorithm ...
Najmeh Sadat Jaddi +6 more
wiley +1 more source
Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework
The Cellular Automata Markov model combines the cellular automata (CA) model’s ability to simulate the spatial variation of complex systems and the long-term prediction of the Markov model.
Junfeng Kang +3 more
doaj +1 more source
ABSTRACT Background Artificial intelligence (AI) and various subunits of AI such as artificial neural networks (ANN), Convolutional neural networks (CNNs), machine learning (ML), deep learning (DL) and deep neural networks (DNN) are being tried to diagnose and plan treatment for periodontal diseases.
Rupanjan Roy +3 more
wiley +1 more source
Smart Healthcare: The Role of Digital Health in Modern Medicine
Implementation of Digital Health. Innovations in Digital Health. Challenges in Digital Health. ABSTRACT Digital health is transforming healthcare by integrating advanced technologies to make healthcare more accessible, efficient, and personalized. From electronic health records, telemedicine, wearable devices, and artificial intelligence to the recent ...
Nidha Shapoo +3 more
wiley +1 more source
PUC: parallel mining of high-utility itemsets with load balancing on spark
Distributed programming paradigms such as MapReduce and Spark have alleviated sequential bottleneck while mining of massive transaction databases. Of significant importance is mining High Utility Itemset (HUI) that incorporates the revenue of the items ...
Brahmavar Anup Bhat +2 more
doaj +1 more source
ABSTRACT The integration of big data into nephrology research will open new avenues for analyzing and understanding complex biological datasets, driving advances in personalized management of kidney diseases. This paper describes the multifaceted challenges and opportunities by incorporating big data in nephrology, emphasizing the importance of data ...
Riste Stojanov +12 more
wiley +1 more source
Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools
In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is referred to as big data.
Sunil Kumar, Maninder Singh
doaj +1 more source
Recently, big data analytics have gained significant attention in healthcare industry due to generation of massive quantities of data in various forms such as electronic health records, sensors, medical imaging, and pharmaceutical details.
Bhukya Hanumanthu, Manchala Sadanandam
doaj +1 more source
ABSTRACT Background Cloud Computing has established itself as an efficient and cost‐effective paradigm for the execution of web‐based applications, and scientific workloads, that need elasticity and on‐demand scalability capabilities. However, the evaluation of novel resource provisioning and management techniques is a major challenge due to the ...
Remo Andreoli +3 more
wiley +1 more source
FCNB: Fuzzy Correlative Naive Bayes Classifier with MapReduce Framework for Big Data Classification
The term “big data” means a large amount of data, and big data management refers to the efficient handling, organization, or use of large volumes of structured and unstructured data belonging to an organization.
Banchhor Chitrakant, Srinivasu N.
doaj +1 more source

