Machine learning for dementia prediction: a systematic review and future research directions
Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully
provided automated solutions to numerous real-world problems. Healthcare is one of the …
provided automated solutions to numerous real-world problems. Healthcare is one of the …
Applications of machine learning predictive models in the chronic disease diagnosis
This paper reviews applications of machine learning (ML) predictive models in the diagnosis
of chronic diseases. Chronic diseases (CDs) are responsible for a major portion of global …
of chronic diseases. Chronic diseases (CDs) are responsible for a major portion of global …
Accelerating materials discovery using machine learning
Y Juan, Y Dai, Y Yang, J Zhang - Journal of Materials Science & …, 2021 - Elsevier
The discovery of new materials is one of the driving forces to promote the development of
modern society and technology innovation, the traditional materials research mainly …
modern society and technology innovation, the traditional materials research mainly …
An MRI scans-based Alzheimer's disease detection via convolutional neural network and transfer learning
KT Chui, BB Gupta, W Alhalabi, FS Alzahrani - Diagnostics, 2022 - mdpi.com
Alzheimer's disease (AD) is the most common type (> 60%) of dementia and can wreak
havoc on the psychological and physiological development of sufferers and their carers, as …
havoc on the psychological and physiological development of sufferers and their carers, as …
Automatic and non-invasive Parkinson's disease diagnosis and severity rating using LSTM network
Deep learning has a huge potential in healthcare for uncovering the hidden patterns from
large volume of clinical data to diagnose different diseases. This paper presents a novel …
large volume of clinical data to diagnose different diseases. This paper presents a novel …
Early detection of cognitive decline using machine learning algorithm and cognitive ability test
Elderly people are the assets of the country and the government can ensure their peaceful
and healthier life. Life expectancy of individuals has expanded with technological …
and healthier life. Life expectancy of individuals has expanded with technological …
A systematic review on AI/ML approaches against COVID-19 outbreak
Abstract A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …
Analyzing chronic disease biomarkers using electrochemical sensors and artificial neural networks
Chronic diseases are persistent health conditions that affect our quality of life, increase
morbidity and mortality, and are a global challenge. Further, the increasing prevalence of …
morbidity and mortality, and are a global challenge. Further, the increasing prevalence of …
Automated detection of construction work at heights and deployment of safety hooks using IMU with a barometer
An automated system that identifies work at height and the fastening state of safety hooks
using wearable sensors was developed to prevent falls from height (FFH). This system …
using wearable sensors was developed to prevent falls from height (FFH). This system …
Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression
Big-medical-data classification and image detection are crucial tasks in the field of
healthcare, as they can assist with diagnosis, treatment planning, and disease monitoring …
healthcare, as they can assist with diagnosis, treatment planning, and disease monitoring …