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Systematic reviews in sentiment analysis: a tertiary study
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 …
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
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 …
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 …
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
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 …
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
Electrocardiogram (ECG) signals play a vital role in diagnosing and monitoring patients
suffering from various cardiovascular diseases (CVDs). This research aims to develop a …
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
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 …
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
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 …
importance in analyzing the people's opinions extracted from social media platforms …
Introduction to machine and deep learning for medical physicists
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 …
(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
Background Psychosis has various causes, including mania and schizophrenia. Since the
differential diagnosis of psychosis is exclusively based on subjective assessments of oral …
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
Distributed Denial of Service (DDoS) attacks, advanced persistent threats, and malware
actively compromise the availability and security of Internet services. Thus, this paper …
actively compromise the availability and security of Internet services. Thus, this paper …