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Machine learning technique to prognosis diabetes disease: Random forest classifier approach
Diabetes is one among many chronic diseases. It is the most common disease and lots of
peoples are affected by this. There are many things that are liable for diabetes, mainly age …
peoples are affected by this. There are many things that are liable for diabetes, mainly age …
Recent advances of artificial intelligence applications in interstitial lung diseases
Interstitial lung diseases (ILDs) comprise a rather heterogeneous group of diseases varying
in pathophysiology, presentation, epidemiology, diagnosis, treatment and prognosis. Even …
in pathophysiology, presentation, epidemiology, diagnosis, treatment and prognosis. Even …
Sentiment analysis at online social network for cyber-malicious post reviews using machine learning techniques
The creating centrality of sentiment assessment agrees with the advancement of the
electronic stage, for instance, cyber-vulnerability reviews, gathering discussions for cyber …
electronic stage, for instance, cyber-vulnerability reviews, gathering discussions for cyber …
Blockchain-based model for expanding IoT device data security
Healthcare institutions around the world become an organised and user-centred structures.
Managing vast volumes of data, such as IoT device data or medical records of each person …
Managing vast volumes of data, such as IoT device data or medical records of each person …
Comparison and analysis of RNN-LSTMs and CNNs for social reviews classification
S Bodapati, H Bandarupally, RN Shaw… - Advances in Applications …, 2021 - Springer
This chapter presents and compares results of simple and efficient deep learning models to
perform sentiment analysis and text classification. Natural language processing is a massive …
perform sentiment analysis and text classification. Natural language processing is a massive …
A comparative study of myocardial infarction detection from ECG data using machine learning
A Chakraborty, S Chatterjee, K Majumder… - … : proceedings of ICACIT …, 2022 - Springer
Myocardial Infarction (MI) is a life-threatening heart disease, timely medical intervention of
which can reduce the mortality rate. It can be detected from Electrocardiogram or ECG …
which can reduce the mortality rate. It can be detected from Electrocardiogram or ECG …
Framework and smart contract for blockchain enabled certificate verification system using robotics
Certificate is used to measure and assess the skills that a person possesses. This is used for
pursuing higher studies, getting jobs, rewarding a person, etc. Nowadays, it is evident that …
pursuing higher studies, getting jobs, rewarding a person, etc. Nowadays, it is evident that …
Analysis and prediction of COVID-19 confirmed cases using deep learning models: a comparative study
COVID-19 or Novel coronavirus is an infectious disease that was first noticed in December,
2019 and it eventually emerged as a pandemic as it is highly contagious in nature. It affected …
2019 and it eventually emerged as a pandemic as it is highly contagious in nature. It affected …
A framework for personalizing atypical web search sessions with concept-based user profiles using selective machine learning techniques
Human beings have been using all kinds of devices to perform diverse things since their
evolution. The human brain's imagination contributed to the creation of numerous devices …
evolution. The human brain's imagination contributed to the creation of numerous devices …
Unique action identifier by using magnetometer, accelerometer and gyroscope: KNN approach
In today's world, where technology is advancing every single day, new methodologies are
being developed, and are brought in everyday use making our lives simpler, faster, safer …
being developed, and are brought in everyday use making our lives simpler, faster, safer …