2 天前 - … learning algorithms. In this work, we use a PSO feature … to pick better features from
the breast cancer dataset to improve … , "Machine learning techniques for medical diagnosis of …

3 天前 - … with improved accuracy using a deep learning approach. … By harnessing the power
of deep learning, our proposed … supporting health decision-makers in early diagnosis and …

4 天前 - … It utilizes advanced methods of machine learning to improve its precision and
efficacy. This study … in recent years showcasing the efficacy of deep learning in diagnosis [22–24]. …

4 天前 - … is critical for the medical diagnosis and prognosis of common … could improve the
prediction performance of subsequent … Machine learning (ML) with wrapper methods and …

4 天前 - … orchards for early diagnosis and prevention. The fuzzy … This paper proposes a fuzzy
deep learning and optimization… information Therefore, an improved tree growth optimization …

4 天前 - … The key improvements to the data that were handled by the … The findings of this
study provide insightful information … paper is to increase thyroid cancer diagnosis accuracy. The …

5 天前 - … improved the positive predictive value of non-invasive methods, with the aim of
enhancing the classification of … Interpretation: This study achieved promising results in the early …

5 天前 - … was selected to train the machine learning model … This study, by contrast, seeks to
streamline the diagnostic … students, presumed to have better financial resources, enjoy more …

5 天前 - … source of information for disease diagnosis and treatment … In this study, we
employed the PyTorch deep learning … Furthermore, to better leverage information from regions …

5 天前 - … This research identifies a gap in leveraging the … Improvements in diagnostic
performance have often been made using computer meta-heuristics with classification algorithms, …