Computer based diagnosis of some chronic diseases: a medical journey of the last two decades

S Malakar, SD Roy, S Das, S Sen… - … Methods in Engineering, 2022 - Springer
Disease prediction from diagnostic reports and pathological images using artificial
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 …

Overview on biological activities of imidazole derivatives

R Gujjarappa, AK Kabi, S Sravani, A Garg… - … : Basic Structures and …, 2022 - Springer
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 …

[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 …

LAGOA: Learning automata based grasshopper optimization algorithm for feature selection in disease datasets

C Dey, R Bose, KK Ghosh, S Malakar… - Journal of Ambient …, 2022 - Springer
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 …

[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 …

Optimization of weight backpropagation with particle swarm optimization for student dropout prediction

EY Sari, A Sunyoto - 2019 4th International Conference on …, 2019 - ieeexplore.ieee.org
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 …

[PDF][PDF] Performance evaluation of machine learning algorithm for lung cancer

MM Pyingkodi, WB NR, DS Shanthi… - Int. J. of Aquatic …, 2021 - journal-aquaticscience.com
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 …

[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 …

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 …