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International Journal of Medical Engineering and Informatics, Volume 16
Volume 16, Number 1, 2024
- Suparna Dutta, Saswati Mukherjee, Medha Nag, Sujoy Majumdar, Ghanshyam Goyal:
Risk stratification of cardiovascular disease in type 2 diabetes using LDA and CNN for clinical decision management - a multi-centre study in eastern India. 1-14 - Mustafa Özilgen:
Biothermodynamics may be a highly useful tool to help medical practitioners to detect and cure morbidities. 15-22 - Ignatius Luddy Indra Purnama, Alva Edy Tontowi, Herianto:
Cloud and online system of 3D printing for serving multi-client of hospitals and medical colleges in different locations. 23-33 - Ben Khelfallah Amel, Mahammed Messadi, Mohammed El Amine Lazouni:
A new segmentation method for retinal pathologies detection in optical coherence tomography images. 34-46 - Aarti Sharma:
Computerised detection of autism spectrum disorder using EEG signals. 47-55 - Y. Mahesha, C. Nagaraju:
Spotting congenital heart diseases using palm print based on faster R-CNN and spatial method. 56-70 - Akanksha Kaushik, Jyotsna Singh, Shilpa Mahajan:
Computational study of the progression of Alzheimer's disease and changes in hippocampal theta rhythm activities due to beta-amyloid altered calcium dependent ionic channels. 71-81 - Abdesselam Bougdira, Asmae Mazti, Hayat Sedrati, Fayssal Jhilal, Saaid Amzazi, Chakib Nejjari, Hassan Ghazal:
A conceptual model to improve the patient flow during COVID-19. 82-95
Volume 16, Number 2, 2024
- Isaac Kofi Nti, Adebayo Felix Adekoya, Owusu Nyarko-Boateng, Ponnadurai Ramasami:
Empirical assessment of COVID-19 infections and information diffusion: a data science approach. 97-114 - Leo John Baptist, Linesh Raja, Suresh Shanmugasundaram:
Real-time healthcare monitoring system through haversine distance calculation-based global positioning system. 115-125 - Mohammad A. Z. Abu Zuhri, Mohammed Awad, Shahnaz Najjar, Nuha El Sharif, Issa Ghrouz:
Colorectal cancer risk factor assessment in Palestine using machine learning models. 126-138 - Thomas Bailey, Fadi A. Thabtah, Marcus Wright, Duy Anh Tran:
FoodKnight: a mobile educational game and analyses for obesity awareness of children. 139-149 - Leandro Ferreira Pereira, Carlos Hernandez Jerónimo, André Salgado, Álvaro Dias, Renato Lopes da Costa, Rui Gonçalves:
How health knowledge that can influence patient outcome. 150-160 - Abderrazak Sebaa, Nabil Djebari, Abdelkamel Tari:
Healthcare services: applications, trend, and challenges. 161-172 - Abul Abbas Barbhuiya, Ram Kumar Karsh, Rahul Jain, Hillol Phukan:
A deep neural network-based architecture for automated detection of COVID-19 from chest X-ray images. 173-184 - Rajesh Yakkundimath, Varsha S. Jadhav, Basavaraj S. Anami:
Automated classification of cervical cells using integrated VGG-16 CNN model. 185-197
Volume 16, Number 3, 2024
- Rima Guilal, Nesma Settouti, Gonzalo Martínez-Muñoz, Mohammed Amine Chikh:
Feature importance analysis for a highly unbalanced multiple myeloma data classification. 199-209 - Neha Sathe, Anil Hiwale, Archana Ranade:
Identifying key gait parameters in gender recognition and classification performance analysis using machine learning algorithms. 210-221 - Sayda Umma Hamida, Narayan Ranjan Chakraborty:
Effectiveness of machine learning for mental health: observing the mental state of Bangladeshi people. 222-236 - Sree T. Sucharitha, Chakrapani Chatla, Vikhram Ramasubramanian, R. Vaishika, S. M. Balaji, R. Pradeep, Aravind Manoharan:
Telehealth consultations during COVID times - barriers and facilitators: a multi-state exploratory study from India. 237-251 - C. D. Anisha, N. Arulanand, R. Rekha:
An actigraph data-based early diagnosis of depression using ensemble classifiers. 252-259 - Mohamed Akram Khelili, Sihem Slatnia, Okba Kazar, Seyedali Mirjalili, Samir Bourekkache, Guadalupe Ortiz, Yizhang Jiang:
New bio-inspired approach for deep learning techniques applied to neonatal seizures. 260-273 - Hariharan Anantharaman, Navendu Chaudhary, Vimal Raj:
Neoteric machine learning approaches to diagnose the state of carotid artery. 274-286 - Vinod Arunachalam, N. Kumareshan:
An energy efficient reconfigurable architecture for multi-lead ECG signal compression. 287-293
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