Evaluation of artificial intelligence techniques in disease diagnosis and prediction
N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …
through high-tech digital devices. The application of artificial intelligence (AI) in the …
[HTML][HTML] Machine learning-based approach: Global trends, research directions, and regulatory standpoints
R Pugliese, S Regondi, R Marini - Data Science and Management, 2021 - Elsevier
The field of machine learning (ML) is sufficiently young that it is still expanding at an
accelerating pace, lying at the crossroads of computer science and statistics, and at the core …
accelerating pace, lying at the crossroads of computer science and statistics, and at the core …
Significant applications of machine learning for COVID-19 pandemic
Machine learning is an innovative approach that has extensive applications in prediction.
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …
A stacking ensemble deep learning approach to cancer type classification based on TCGA data
Cancer tumor classification based on morphological characteristics alone has been shown
to have serious limitations. Breast, lung, colorectal, thyroid, and ovarian are the most …
to have serious limitations. Breast, lung, colorectal, thyroid, and ovarian are the most …
A deep learning-based multi-model ensemble method for cancer prediction
Abstract Background and Objective: Cancer is a complex worldwide health problem
associated with high mortality. With the rapid development of the high-throughput …
associated with high mortality. With the rapid development of the high-throughput …
A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models
Z Wang, RS Srinivasan - Renewable and Sustainable Energy Reviews, 2017 - Elsevier
Building energy use prediction plays an important role in building energy management and
conservation as it can help us to evaluate building energy efficiency, conduct building …
conservation as it can help us to evaluate building energy efficiency, conduct building …
Breast cancer classification using machine learning
M Amrane, S Oukid, I Gagaoua… - 2018 electric electronics …, 2018 - ieeexplore.ieee.org
During their life, among 8% of women are diagnosed with Breast cancer (BC), after lung
cancer, BC is the second popular cause of death in both developed and undeveloped …
cancer, BC is the second popular cause of death in both developed and undeveloped …
Prediction of benign and malignant breast cancer using data mining techniques
Breast cancer is the second most leading cancer occurring in women compared to all other
cancers. Around 1.1 million cases were recorded in 2004. Observed rates of this cancer …
cancers. Around 1.1 million cases were recorded in 2004. Observed rates of this cancer …
Brain tumor segmentation using an ensemble of 3d u-nets and overall survival prediction using radiomic features
X Feng, NJ Tustison, SH Patel… - Frontiers in computational …, 2020 - frontiersin.org
Accurate segmentation of different sub-regions of gliomas such as peritumoral edema,
necrotic core, enhancing, and non-enhancing tumor core from multimodal MRI scans has …
necrotic core, enhancing, and non-enhancing tumor core from multimodal MRI scans has …
集成学习方法: 研究综述
徐继伟， 杨云 - 云南大学学报(自然科学版), 2018 - yndxxb.ynu.edu.cn
机器学习的求解过程可以看作是在假设空间中搜索一个具有强泛化能力和高鲁棒性的学习模型,
而在假设空间中寻找合适模型的过程是较为困难的. 然而, 集成学习作为一类组合优化的学习 …
而在假设空间中寻找合适模型的过程是较为困难的. 然而, 集成学习作为一类组合优化的学习 …