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AI in drug discovery and its clinical relevance
The COVID-19 pandemic has emphasized the need for novel drug discovery process.
However, the journey from conceptualizing a drug to its eventual implementation in clinical …
However, the journey from conceptualizing a drug to its eventual implementation in clinical …
Application of artificial intelligence in drug design: A review
Artificial intelligence (AI) is a field of computer science that involves acquiring information,
develo** rule bases, and mimicking human behaviour. The fundamental concept behind …
develo** rule bases, and mimicking human behaviour. The fundamental concept behind …
Variational quantum classifier for binary classification: Real vs synthetic dataset
Nowadays, quantum-enhanced methods have been widely studied to solve machine
learning related problems. This article presents the application of a Variational Quantum …
learning related problems. This article presents the application of a Variational Quantum …
Ecsu-net: an embedded clustering sliced u-net coupled with fusing strategy for efficient intervertebral disc segmentation and classification
Automatic vertebra segmentation from computed tomography (CT) image is the very first and
a decisive stage in vertebra analysis for computer-based spinal diagnosis and therapy …
a decisive stage in vertebra analysis for computer-based spinal diagnosis and therapy …
Early prediction of diabetes mellitus using machine learning
G Tripathi, R Kumar - 2020 8th international conference on …, 2020 - ieeexplore.ieee.org
Diabetes mellitus is one of the noxious disease which causes abnormalities of blood
glucose due to the resistance of producing insulin hormone in the body. It affects various …
glucose due to the resistance of producing insulin hormone in the body. It affects various …
Appositeness of optimized and reliable machine learning for healthcare: a survey
Abstract Machine Learning (ML) has been categorized as a branch of Artificial Intelligence
(AI) under the Computer Science domain wherein programmable machines imitate human …
(AI) under the Computer Science domain wherein programmable machines imitate human …
Evaluation of machine learning methods developed for prediction of diabetes complications: a systematic review
Background: With the rising prevalence of diabetes, machine learning (ML) models have
been increasingly used for prediction of diabetes and its complications, due to their ability to …
been increasingly used for prediction of diabetes and its complications, due to their ability to …
Optimized hybrid learning for multi disease prediction enabled by lion with butterfly optimization algorithm
AK Dubey - Sādhanā, 2021 - Springer
As there is a rapid growth in healthcare systems and biomedical data. Machine learning
algorithms are utilized in many researches for predicting the risk of the diseases. The major …
algorithms are utilized in many researches for predicting the risk of the diseases. The major …
Design of privacy preserving model based on clustering involved anonymization along with feature selection
Healthcare services has become a hug transformation due to the number of disease
emerging at presently. Accordingly, enormous amount of data is generated regarding on the …
emerging at presently. Accordingly, enormous amount of data is generated regarding on the …
Deep learning in multimedia healthcare applications: a review
The increase in chronic diseases has affected the countries' health system and economy.
With the recent COVID-19 virus, humanity has experienced a great challenge, which has led …
With the recent COVID-19 virus, humanity has experienced a great challenge, which has led …