[HTML][HTML] Smart healthcare disease diagnosis and patient management: Innovation, improvement and skill development
A Ray, AK Chaudhuri - Machine Learning with Applications, 2021 - Elsevier
Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …
large quantity of data. Many robust early detection services and other health-related …
A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies
In-text citation analysis is one of the most frequently used methods in research evaluation.
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …
Predicting academic performance of students from VLE big data using deep learning models
The abundance of accessible educational data, supported by the technology-enhanced
learning platforms, provides opportunities to mine learning behavior of students, addressing …
learning platforms, provides opportunities to mine learning behavior of students, addressing …
Artificial intelligence and internet of things based healthcare 4.0 monitoring system
A Kishor, C Chakraborty - Wireless personal communications, 2022 - Springer
Artificial Intelligence (AI) is widely implemented in healthcare 4.0 for producing early and
accurate results. The early predictions of disease help doctors to make early decisions to …
accurate results. The early predictions of disease help doctors to make early decisions to …
A healthcare monitoring system using random forest and internet of things (IoT)
Abstract The Internet of Things (IoT) enabled various types of applications in the field of
information technology, smart and connected health care is notably a crucial one is one of …
information technology, smart and connected health care is notably a crucial one is one of …
A novel wrapper–based feature selection for early diabetes prediction enhanced with a metaheuristic
Diabetes leads to health problems for hundreds of millions of people globally every year.
Available medical records of patients quantify symptoms, body features, and clinical …
Available medical records of patients quantify symptoms, body features, and clinical …
An optimization-based diabetes prediction model using CNN and Bi-directional LSTM in real-time environment
Featured Application Diabetes is a common chronic disorder defined by excessive glucose
levels in the blood. A good diagnosis of diabetes may make a person's life better; otherwise …
levels in the blood. A good diagnosis of diabetes may make a person's life better; otherwise …
Intelligent healthcare data segregation using fog computing with internet of things and machine learning
A Kishor, C Chakraborty… - International Journal of …, 2021 - inderscienceonline.com
As the population worldwide is increasing exponentially, chronic disease is also growing
very rapidly in the world. Thus, the growth of technological development is providing a better …
very rapidly in the world. Thus, the growth of technological development is providing a better …
Deep learning-based extraction of algorithmic metadata in full-text scholarly documents
The advancements of search engines for traditional text documents have enabled the
effective retrieval of massive textual information in a resource-efficient manner. However …
effective retrieval of massive textual information in a resource-efficient manner. However …
Predicting at-risk students using clickstream data in the virtual learning environment
In higher education, predicting the academic performance of students is associated with
formulating optimal educational policies that vehemently impact economic and financial …
formulating optimal educational policies that vehemently impact economic and financial …