Systematic reviews in sentiment analysis: a tertiary study

A Ligthart, C Catal, B Tekinerdogan - Artificial intelligence review, 2021 - Springer
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review

S Pathan, KG Prabhu, PC Siddalingaswamy - … Signal Processing and …, 2018 - Elsevier
Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …

Development of machine learning models for diagnosis of glaucoma

SJ Kim, KJ Cho, S Oh - PloS one, 2017 - journals.plos.org
The study aimed to develop machine learning models that have strong prediction power and
interpretability for diagnosis of glaucoma based on retinal nerve fiber layer (RNFL) thickness …

[HTML][HTML] Mobile sensing and support for people with depression: a pilot trial in the wild

F Wahle, T Kowatsch, E Fleisch, M Rufer… - JMIR mHealth and …, 2016 - mhealth.jmir.org
Background: Depression is a burdensome, recurring mental health disorder with high
prevalence. Even in developed countries, patients have to wait for several months to receive …

A hybrid deep CNN model for abnormal arrhythmia detection based on cardiac ECG signal

A Ullah, S Rehman, S Tu, RM Mehmood, Fawad… - Sensors, 2021 - mdpi.com
Electrocardiogram (ECG) signals play a vital role in diagnosing and monitoring patients
suffering from various cardiovascular diseases (CVDs). This research aims to develop a …

A review of machine learning's role in cardiovascular disease prediction: recent advances and future challenges

MA Naser, AA Majeed, M Alsabah, TR Al-Shaikhli… - Algorithms, 2024 - mdpi.com
Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …

[HTML][HTML] Heterogeneous ensemble deep learning model for enhanced Arabic sentiment analysis

H Saleh, S Mostafa, A Alharbi, S El-Sappagh… - Sensors, 2022 - mdpi.com
Sentiment analysis was nominated as a hot research topic a decade ago for its increasing
importance in analyzing the people's opinions extracted from social media platforms …

Introduction to machine and deep learning for medical physicists

S Cui, HH Tseng, J Pakela, RK Ten Haken… - Medical …, 2020 - Wiley Online Library
Recent years have witnessed tremendous growth in the application of machine learning
(ML) and deep learning (DL) techniques in medical physics. Embracing the current big data …

Speech graphs provide a quantitative measure of thought disorder in psychosis

NB Mota, NAP Vasconcelos, N Lemos, AC Pieretti… - PloS one, 2012 - journals.plos.org
Background Psychosis has various causes, including mania and schizophrenia. Since the
differential diagnosis of psychosis is exclusively based on subjective assessments of oral …

An intelligent agent-based detection system for DDoS attacks using automatic feature extraction and selection

R Abu Bakar, X Huang, MS Javed, S Hussain… - Sensors, 2023 - mdpi.com
Distributed Denial of Service (DDoS) attacks, advanced persistent threats, and malware
actively compromise the availability and security of Internet services. Thus, this paper …