Computer based diagnosis of some chronic diseases: a medical journey of the last two decades
Disease prediction from diagnostic reports and pathological images using artificial
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …
Prediction of lung cancer using machine learning classifier
R Patra - Computing Science, Communication and Security: First …, 2020 - Springer
Lung cancer generally occurs in both male and female due to uncontrollable growth of cells
in the lungs. This causes a serious breathing problem in both inhale and exhale part of …
in the lungs. This causes a serious breathing problem in both inhale and exhale part of …
Overview on biological activities of imidazole derivatives
Imidazole and its derivatives are one of the most important and widely used heterocycles in
medicinal chemistry, natural products, and synthetic chemicals. Because of the imidazole …
medicinal chemistry, natural products, and synthetic chemicals. Because of the imidazole …
[Retracted] Models of Artificial Intelligence‐Assisted Diagnosis of Lung Cancer Pathology Based on Deep Learning Algorithms
S Chen - Journal of Healthcare Engineering, 2022 - Wiley Online Library
In this article, in order to explore the application of a diagnosis system for lung cancer, we
use an auxiliary diagnostic system to predict and diagnose the good and evil attributes of …
use an auxiliary diagnostic system to predict and diagnose the good and evil attributes of …
LAGOA: Learning automata based grasshopper optimization algorithm for feature selection in disease datasets
In predictive modelling it is important to use any feature selection methods as irrelevant
features when used with powerful classifiers can lead to over-fitting and thus create models …
features when used with powerful classifiers can lead to over-fitting and thus create models …
[PDF][PDF] Optimal Deep Belief Network Based Lung Cancer Detection and Survival Rate Prediction.
S Manickavasagam, P Sugumaran - Comput. Syst. Sci. Eng., 2023 - cdn.techscience.cn
The combination of machine learning (ML) approaches in healthcare is a massive
advantage designed at curing illness of millions of persons. Several efforts are used by …
advantage designed at curing illness of millions of persons. Several efforts are used by …
Optimization of weight backpropagation with particle swarm optimization for student dropout prediction
Students who drop out of school are the cases that should be of concern in college. An
uncontrollable decline affects the quality of the university. Dropout could happen for a variety …
uncontrollable decline affects the quality of the university. Dropout could happen for a variety …
[PDF][PDF] Performance evaluation of machine learning algorithm for lung cancer
Background: Lung Cancer Is A Cancer That Is Difficult To Identify, And Deadly. Early
Detection Of Cancer Can Be Effective In Curing The Disease Altogether. TheProposed …
Detection Of Cancer Can Be Effective In Curing The Disease Altogether. TheProposed …
[PDF][PDF] Classification of medical datasets using back propagation neural network powered by genetic-based features elector
HA Lafta, ZF Hasan, NK Ayoob - International Journal of …, 2019 - cdnx.uobabylon.edu.iq
The classification is a one of the most indispensable domains in the data mining and
machine learning. The classification process has a good reputation in the area of diseases …
machine learning. The classification process has a good reputation in the area of diseases …
A genetic folding strategy based support vector machine to optimize lung cancer classification
MA Mezher, A Altamimi, R Altamimi - Frontiers in Artificial Intelligence, 2022 - frontiersin.org
Cancer is defined as an abnormal growth of human cells classified into benign and
malignant. The site makes further classification of cancers of initiation and genomic …
malignant. The site makes further classification of cancers of initiation and genomic …