A Deep Learning Methodology CNN-ADAM for the Prediction of PCOS from Text Report
- Title
- A Deep Learning Methodology CNN-ADAM for the Prediction of PCOS from Text Report
- Creator
- Thomas N.; Alapatt B.P.; Resmi K.R.; Jose M.
- Description
- Text categorization is a popular piece of work in natural language processing (NLP) and machine learning, and Convolutional Neural Networks (CNNs) can be used effectively for this purpose. Although CNNs are traditionally associated with computer vision tasks, they have been adapted and applied successfully to text classification problems. In the proposed study Convolutional Neural Networks (CNNs) with adam optimization algorithm plays a crucial role in detecting PCOS words from sonographic text reports. 2023 IEEE.
- Source
- 2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances: Sustainable Transportation Systems, CERA 2023
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Adam; Classification; CNN; deep learning; PCOS
- Coverage
- Thomas N., Santhigiri College, Kerala, India; Alapatt B.P., Christ (Deemed to Be University), Delhi-NCR, India; Resmi K.R., Christ (Deemed to Be University, Banglore), India; Jose M., Axis Bank, Chennai, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835030500-5
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Thomas N.; Alapatt B.P.; Resmi K.R.; Jose M., “A Deep Learning Methodology CNN-ADAM for the Prediction of PCOS from Text Report,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19673.