The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review
Islamic Azad University of Tabriz · Haliç University · +5 more institutions
Abstract
Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for developing the function of medical and bioinformatics challenges using deep learning (DL) techniques. The importance of DL in Internet of Things (IoT)-based bio- and medical informatics lies in its ability to analyze and interpret large amounts of complex and diverse data in real time, providing insights that can improve healthcare outcomes and increase efficiency in the healthcare industry. Several applications of DL in IoT-based bio- and medical informatics include…
Citation impact
- FWCI
- 49.41
- Percentile
- 100%
- References
- 138
Authors
5- ZMZahra Mohtasham‐Amiri
Islamic Azad University of Tabriz
- AHArash HeidariCorresponding
Haliç University
- NJNima Jafari NavimipourCorresponding
Kadir Has University, National Yunlin University of Science and Technology
- MEMansour Esmaeilpour
Islamic Azad University of Hamedan, Hamedan University of Technology
- YYYalda Yazdani
Tabriz University of Medical Sciences
Topics & keywords
- Computer science
- Artificial intelligence
- Health informatics
- Machine learning
- Deep learning
- Informatics
- Convolutional neural network
- Data science
- Industry, innovation and infrastructure