A linear discriminant analysis and classification model for breast cancer diagnosis
MO Adebiyi, MO Arowolo, MD Mshelia, OO Olugbara - Applied Sciences, 2022 - mdpi.com
Although most cases are identified at a late stage, breast cancer is the most public
malignancy amongst women globally. However, mammography for the analysis of breast …
malignancy amongst women globally. However, mammography for the analysis of breast …
Breast cancer detection using particle swarm optimization and decision tree machine learning technique
Cancer of the breast is one of the deadliest diseases encountered by women and requires
early diagnosis. Although more time is required for the traditional diagnostic process, a …
early diagnosis. Although more time is required for the traditional diagnostic process, a …
Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison
Consolidated efforts have been made to enhance the treatment and diagnosis of heart
disease due to its detrimental effects on society. As technology and medical diagnostics …
disease due to its detrimental effects on society. As technology and medical diagnostics …
An effective approach for early liver disease prediction and sensitivity analysis
The liver is one of the most vital organs of the human body. Even when partially injured, it
functions normally. Therefore, detecting liver diseases at the early stages is challenging …
functions normally. Therefore, detecting liver diseases at the early stages is challenging …
Breast cancer detection with machine learning-a review
Malignancy in the breast is a significant public health concern, where timely identification is
essential for effective treatment. Machine Learning (ML) and Deep Learning (DL) algorithms …
essential for effective treatment. Machine Learning (ML) and Deep Learning (DL) algorithms …
Personality type based on Myers-Briggs type indicator with text posting style by using traditional and deep learning
S Ontoum, JH Chan - arXiv preprint arXiv:2201.08717, 2022 - arxiv.org
The term personality may be expressed in terms of the individual differences in
characteristics pattern of thinking, feeling, and behavior. This work presents several machine …
characteristics pattern of thinking, feeling, and behavior. This work presents several machine …
Role of machine learning in healthcare sector
M Rastogi, DM Vijarania, DN Goel - Proceedings of the …, 2022 - papers.ssrn.com
Healthcare sector is an important and crucial industry as it offers help to several people. It
also contributes to the local economy. Various technologies like ML, DL are contributing a lot …
also contributes to the local economy. Various technologies like ML, DL are contributing a lot …
Transformative insights: Image-based breast cancer detection and severity assessment through advanced AI techniques
In the realm of image-based breast cancer detection and severity assessment, this study
delves into the revolutionary potential of sophisticated artificial intelligence (AI) techniques …
delves into the revolutionary potential of sophisticated artificial intelligence (AI) techniques …
Efficient breast cancer classification using LS-SVM and dimensionality reduction
AS Mohammed - Soft Computing, 2023 - Springer
Breast cancer is the main cause of cancer-related deaths among women worldwide. Several
diagnostic methods, including mammography, ultrasound, and biopsy, are used to discover …
diagnostic methods, including mammography, ultrasound, and biopsy, are used to discover …
Quantum optimized AlexNet for histopathology breast image diagnosis
Breast cancer is a prevalent and life-threatening disease affecting millions of women
worldwide. Timely and accurate detection is crucial for improving patient outcomes. Deep …
worldwide. Timely and accurate detection is crucial for improving patient outcomes. Deep …