Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis
Background Multiple treatments are effective for major depressive disorder (MDD), but the
outcomes of each treatment vary broadly among individuals. Accurate prediction of …
outcomes of each treatment vary broadly among individuals. Accurate prediction of …
[HTML][HTML] Human, all too human? An all-around appraisal of the “artificial intelligence revolution” in medical imaging
F Coppola, L Faggioni, M Gabelloni… - Frontiers in …, 2021 - frontiersin.org
Artificial intelligence (AI) has seen dramatic growth over the past decade, evolving from a
niche super specialty computer application into a powerful tool which has revolutionized …
niche super specialty computer application into a powerful tool which has revolutionized …
[HTML][HTML] Evaluation metrics and statistical tests for machine learning
Research on different machine learning (ML) has become incredibly popular during the past
few decades. However, for some researchers not familiar with statistics, it might be difficult to …
few decades. However, for some researchers not familiar with statistics, it might be difficult to …
[HTML][HTML] Evaluation standards of intelligent technology based on financial alternative data
Z Lv, N Wang, X Ma, Y Sun, Y Meng, Y Tian - Journal of Innovation & …, 2022 - Elsevier
After the visions of Industry 5.0 and Society 5.0 were presented, a proliferation of artificial
intelligence technologies have been applied to the financial field because AI develops fast …
intelligence technologies have been applied to the financial field because AI develops fast …
[HTML][HTML] The application of deep learning for the segmentation and classification of coronary arteries
In recent years, the prevalence of coronary artery disease (CAD) has become one of the
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
[HTML][HTML] Eye movement behavior in a real-world virtual reality task reveals ADHD in children
L Merzon, K Pettersson, ET Aronen, H Huhdanpää… - Scientific reports, 2022 - nature.com
Eye movements and other rich data obtained in virtual reality (VR) environments resembling
situations where symptoms are manifested could help in the objective detection of various …
situations where symptoms are manifested could help in the objective detection of various …
[HTML][HTML] Predicting fetal alcohol spectrum disorders using machine learning techniques: multisite retrospective cohort study
Background Fetal alcohol syndrome (FAS) is a lifelong developmental disability that occurs
among individuals with prenatal alcohol exposure (PAE). With improved prediction models …
among individuals with prenatal alcohol exposure (PAE). With improved prediction models …
[HTML][HTML] Transformers for cardiac patient mortality risk prediction from heterogeneous electronic health records
With over 17 million annual deaths, cardiovascular diseases (CVDs) dominate the cause of
death statistics. CVDs can deteriorate the quality of life drastically and even cause sudden …
death statistics. CVDs can deteriorate the quality of life drastically and even cause sudden …
Machine learning to predict the antimicrobial activity of cold atmospheric plasma-activated liquids
Plasma is defined as the fourth state of matter, and non-thermal plasma can be produced at
atmospheric pressure under a high electrical field. The strong and broad-spectrum …
atmospheric pressure under a high electrical field. The strong and broad-spectrum …
It infrastructure anomaly detection and failure handling: A systematic literature review focusing on datasets, log preprocessing, machine & deep learning approaches …
DA Bhanage, AV Pawar, K Kotecha - IEEE Access, 2021 - ieeexplore.ieee.org
Nowadays, reliability assurance is crucial in components of IT infrastructures. Unavailability
of any element or connection results in downtime and triggers monetary and performance …
of any element or connection results in downtime and triggers monetary and performance …