[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …
Designing a network intrusion detection system based on machine learning for software defined networks
AO Alzahrani, MJF Alenazi - Future Internet, 2021 - mdpi.com
Software-defined Networking (SDN) has recently developed and been put forward as a
promising and encouraging solution for future internet architecture. Managed, the …
promising and encouraging solution for future internet architecture. Managed, the …
An interrelated decision-making model for an intelligent decision support system in healthcare
The nature of decision making in healthcare is complex and crucial. It is essential to have a
tool that helps with accurate and correct decisions based on real-time data. Moreover, the …
tool that helps with accurate and correct decisions based on real-time data. Moreover, the …
[PDF][PDF] A wireless controlled intelligent healthcare system for diplegia patients
Rehabilitation engineering is playing a more vital role in the field of healthcare for humanity.
It is providing many assistive devices to diplegia patients (The patients whose conditions are …
It is providing many assistive devices to diplegia patients (The patients whose conditions are …
Classification of relaxation and concentration mental states with eeg
SD You - Information, 2021 - mdpi.com
In this paper, we study the use of EEG (Electroencephalography) to classify between
concentrated and relaxed mental states. In the literature, most EEG recording systems are …
concentrated and relaxed mental states. In the literature, most EEG recording systems are …
A text mining approach in the Classification of free-text cancer pathology reports from the South African National Health Laboratory Services
OJ Achilonu, V Olago, E Singh, RMJC Eijkemans… - Information, 2021 - mdpi.com
A cancer pathology report is a valuable medical document that provides information for
clinical management of the patient and evaluation of health care. However, there are …
clinical management of the patient and evaluation of health care. However, there are …
Introduction to machine learning for physicians: a survival guide for data deluge
Many modern research fields increasingly rely on collecting and analysing massive, often
unstructured, and unwieldy datasets. Consequently, there is growing interest in machine …
unstructured, and unwieldy datasets. Consequently, there is growing interest in machine …
IoT-based patient movement monitoring: the post-operative hip fracture rehabilitation model
A Gupta, A Al-Anbuky - Future Internet, 2021 - mdpi.com
Hip fracture incidence is life-threatening and has an impact on the person's physical
functionality and their ability to live independently. Proper rehabilitation with a set program …
functionality and their ability to live independently. Proper rehabilitation with a set program …
[PDF][PDF] Machine learning for health (ml4h) 2021
The first Machine Learning for Health (ML4H) symposium § was held virtually on December
4, 2021. In response to the growing ML4H community, for the first time, ML4H took place as …
4, 2021. In response to the growing ML4H community, for the first time, ML4H took place as …
Machine Learning for Health (ML4H) 2023
S Hegselmann, A Parziale… - … Learning for Health …, 2023 - proceedings.mlr.press
The third Machine Learning for Health (ML4H) symposium was held on December 10, 2023,
in New Orleans, Louisiana, USA. Following the last two years (Roy et al., 2021; Parziale et …
in New Orleans, Louisiana, USA. Following the last two years (Roy et al., 2021; Parziale et …