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ORCIDInternational 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
Volume 16, Number 4, 2024
- Munshi Rezwan Ala Muid, Afrin Jubaida, Md. Mehedi Hasan Onik, Hamim Hamid:
Cloud-based electronic health record sharing and access controlling blockchain architecture using data de-identification method. 295-311 - Sonal Gore, Jayant Jagtap:
mUNET: glioma segmentation with delineation of tumour sub-regions using optimised architecture of UNET. 312-323 - Sergey Filist, Riad Taha Al-Kasasbeh, Olga Vladimirovna Shatalova, Mohammad Hjouj Btoush, Manafaddin Namazov, Ashraf Adel Shaqadan, Mahdi Salman Alshamasin, Nikolay Alexeyevich Korenevskiy, Saleh Al-Oqeili, Maxim Borisovich Myasnyankin:
Biotechnical neural network system for predicting cardiovascular health state using processing of bio-signals. 324-349 - Juluru Anudeep, Shriram K. Vasudevan, T. S. Murugesh:
Machine learning based wearable sensor module for human fall detection - a fully functional solution. 350-362 - B. Kannan, S. Karthigai Lakshmi:
Brain cancer analysis using deep learning architecture on MRI brain image. 363-373 - C. Ravichandran, T. Senthil Kumar, K. Balaji, Kavitha Sandanam, Chandrasekaran Sivakumaran:
A novel method to detect and classify Alzheimer using naive Bayes classification algorithm. 374-383 - M. Kamesh, C. Augustine, D. Sarathy, S. Leopauline, Sheshang D. Degadwala:
Detection of Parkinson's disease using CNN. 384-393 - Pooja Gohel, Vijay Dave:
A review on applications of near infrared spectroscopy technique for neonatal monitors. 394-400
Volume 16, Number 5, 2024
- S. Seenuvasamurthi, S. Ashok, B. Shankarlal, A. Mohamed Abbas, Ashok Vajravelu:
Brain image compression and reconstruction system using deep learning. 401-413 - Ruchika Arora, Indu Saini, Neetu Sood:
Chest X-ray image analysis for pneumonitis disease classification. 414-423 - P. Ramani, S. Sugumaran, Manoharan Nivethitha Devi, T. J. Nagalakshmi, G. Annapoorani:
Detection and classification of arrhythmia disorders using machine learning algorithm. 424-439 - M. C. Padma, Esra'a Mahmoud Jamil Al Sariera, Thamer Mitib Ahmad Al Sariera:
A review on automated detection and classification of diseases in retinal images. 440-454 - K. Kavin Kumar:
Classification of brain MRI using hypercolumn technique with convolutional neural network. 455-465 - Widhia K. Z. Oktoeberza:
Feature analysis for fundus image classification of multi-retinal diseases. 466-475 - Abiodun O. Ogunsanya, Omini E. Okoi:
Analysis, design and implementation of electronic navigation device for visually impaired persons. 476-492 - Latifa Houria, Noureddine Belkhamsa, Assia Cherfa, Yazid Cherfa:
A CNN and spatial tract-based statistics-based approach for the diagnosis of Alzheimer's disease. 493-501
Volume 16, Number 6, 2024
- Zhaleh Ghobadi, Somayeh Saraf Esmaili:
Use of a neuro-fuzzy technique to predict complete Rockall score in patients with upper gastrointestinal bleeding. 503-515 - Shibili Said, Mredhula Lokanathan:
Deep learning approaches in detection of COVID-19 using X-ray images. 516-522 - K. Hemalatha, N. Kasthuri, N. S. Kavitha, T. Jamuna, K. Kanchana:
Analogy of cervical malignancy through Inception V3 and Xception network of CNN. 523-536 - P. S. Arthy, A. Kavitha:
Brain image enhancement and segmentation using anatomically constrained neural networks. 537-546 - Niranjan Yadav, Rajeshwar Dass, Jitendra Virmani:
Machine learning-based CAD system for thyroid tumour characterisation using ultrasound images. 547-559 - Ravi Kumar, R. Prabha, Kannan Balakrishnan, T. J. Nagalakshmi, Sheshang D. Degadwala:
Auditory model system to recognise Alzheimer's diseases: speech signal analysis. 560-570 - Kamal Halloum, Hamid Ez-Zahraouy:
Reconstruction of a 3D medical image from pre-processed 2D DICOM slices: clinical application. 571-583 - S. Sathiya Devi, K. Vignesh, V. Raguvaran:
Design of automated computer aided diagnosis system to predict diabetic retinopathy based on EfficientNet. 584-593
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