Survey on Machine Learning and Deep Learning Algorithms used in Internet of Things (IoT) Healthcare

Internet of Things (IoT)-Enabled Elderly Fall Verification, Exploiting Temporal Inference Models in Smart Homes

“…From a performance and operability viewpoint, it is noteworthy that deep learning models contain multiple processing layers proficient in learning significant features of data without the need for a domain level capability. On the other hand, traditional machine learning methods usually need a sizable amount of domain-level knowledge to perform classifications [4]. It is also critical for researchers to determine the specific features of machine learning task, since some related works are recognizing only the fall/not fall classifications while other works attempt to classify a more versatile spectrum of activities.…”

“…In deeply understanding the algorithms that have the potential to improve healthcare systems based on IoT, a certain amount of such algorithms are already implemented. However, knowing the dependency on AI and deep learning, there is a high chance of minimum human errors, while with the use of standardized data sets over unstandardized data sets, the performance of training algorithms can be enhanced, thereby reducing complexity and computation time [4]. Moreover, various quality attributes scenarios can be drawn and discussed in order to extract quality attributes requirements.…”

“…The discovery of groundbreaking architectures such as hierarchical computing architecture (HiCH), when blended with concepts like the convolutional neural network (CNN), enables IoT devices to step beyond the limitations of inaccuracy in a wireless body area network (WBAN). In parallel, machine learning algorithms such as C4.5, C5.0, KNN, and EM, promote the missing value analysis and the generation of decision trees, thereby making the working module/architecture much more efficient in its artificial intelligence (AI) upgrades [4].…”

“…An important application of IoT in the healthcare sector was introduced under the conceptualization of Internet of Medical Things (IoMT) [4]. IoMT envisages the interconnection of healthcare devices and sensors towards a broader spectrum of applications, relying on medical data processing and storage.…”

“…IoMT envisages the interconnection of healthcare devices and sensors towards a broader spectrum of applications, relying on medical data processing and storage. Besides, machine learning and deep learning algorithms applied in the healthcare domain allow health professionals to monitor, diagnose, focus, and highlight the region of the problem and propose the required and accurate solution in the shortest duration possible [4].…”