Publication date: November 2023
Source: Healthcare Analytics, Volume 3
Author(s): Anna D. Fome, Herieth Rwezaura, Mamadou L. Diagne, Shannon Collinson, Jean M. Tchuenche
A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms
Publication date: November 2023
Source: Healthcare Analytics, Volume 3
Author(s): E. Syed Mohamed, Tawseef Ahmad Naqishbandi, Syed Ahmad Chan Bukhari, Insha Rauf, Vilas Sawrikar, Arshad Hussain
A deep learning architecture with an object-detection algorithm and a convolutional neural network for breast mass detection and visualization
Publication date: November 2023
Source: Healthcare Analytics, Volume 3
Author(s): Steven J. Frank
A non-linear mathematical model for analysing the impact of COVID-19 disease on higher education in developing countries
Publication date: November 2023
Source: Healthcare Analytics, Volume 3
Author(s): A. Abidemi, J.O. Akanni, O.D. Makinde
A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine
Publication date: November 2023
Source: Healthcare Analytics, Volume 3
Author(s): Madhuri Hiwale, Rahee Walambe, Vidyasagar Potdar, Ketan Kotecha
A comprehensive review and conceptual framework for cloud computing adoption in bioinformatics
Publication date: November 2023
Source: Healthcare Analytics, Volume 3
Author(s): Bayan H. Banimfreg
A novel and efficient Wavelet Scattering Transform approach for primitive-stage dyslexia-detection using electroencephalogram signals
Publication date: November 2023
Source: Healthcare Analytics, Volume 3
Author(s): Shankar Parmar, Chirag Paunwala
A novel hybrid deep learning method for early detection of lung cancer using neural networks
Publication date: November 2023
Source: Healthcare Analytics, Volume 3
Author(s): Shalini Wankhade, Vigneshwari S.
A fractional order Monkeypox model with protected travelers using the fixed point theorem and Newton polynomial interpolation
Publication date: November 2023
Source: Healthcare Analytics, Volume 3
Author(s): Agnes Adom-Konadu, Ebenezer Bonyah, Albert Lanor Sackitey, Martin Anokye, Joshua Kiddy K. Asamoah
A novel machine learning-based feature extraction method for classifying intracranial hemorrhage computed tomography images
Publication date: November 2023
Source: Healthcare Analytics, Volume 3
Author(s): Santwana Gudadhe, Anuradha Thakare, Ahmed M. Anter