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Titlebook: Intelligent Systems Design and Applications; Smart Healthcare, Vo Ajith Abraham,Anu Bajaj,Patrick Siarry Conference proceedings 2024 The Ed

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Early-Stage Lung Cancer Prediction: A Machine Learning Approach,siderable influence in the healthcare field, thanks to its formidable computational capacity, which makes it possible to establish an early prognosis of disease through accurate data analysis. This research inquiry examined five ML algorithms: K-nearest neighbors (KNN), Random Forest (RF), Logistic
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Deep Learning-Based Histopathological Analysis for Colon Cancer Diagnosis: A Comparative Study of C-bor-intensive, requiring pathologists to carefully examine multiple tissue sections and slides per patient. Deep learning techniques offer promising solutions to these challenges. This research investigates the performance of various deep learning architectures, including ResNet50, InceptionResnetV
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,Detecting Parkinson’s Disease at an Early Stage Through Machine Learning Analysis of Brain MRI Imagimarily affect essential physiological activities such as walking, talking, and speaking. Additionally, emotional changes occur, leading to psychological challenges. In this research study, machine learning models, including Naïve Bayes, SVM, and KNN classifiers, were employed to classify brain MRI
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