Data science in economics: comprehensive review of advanced machine learning and deep learning methods

S Nosratabadi, A Mosavi, P Duan, P Ghamisi, F Filip… - Mathematics, 2020 - mdpi.com
This paper provides a comprehensive state-of-the-art investigation of the recent advances in
data science in emerging economic applications. The analysis is performed on the novel …

Early detection of diabetic retinopathy using PCA-firefly based deep learning model

TR Gadekallu, N Khare, S Bhattacharya, S Singh… - Electronics, 2020 - mdpi.com
Diabetic Retinopathy is a major cause of vision loss and blindness affecting millions of
people across the globe. Although there are established screening methods-fluorescein …

Improving the accuracy of diabetes diagnosis applications through a hybrid feature selection algorithm

X Li, J Zhang, F Safara - Neural processing letters, 2023 - Springer
Artificial intelligence is a future and valuable tool for early disease recognition and support in
patient condition monitoring. It can increase the reliability of the cure and decision making by …

Putting the “mi” in omics: discovering miRNA biomarkers for pediatric precision care

C Li, RE Sullivan, D Zhu, SD Hicks - Pediatric research, 2023 - nature.com
In the past decade, growing interest in micro-ribonucleic acids (miRNAs) has catapulted
these small, non-coding nucleic acids to the forefront of biomarker research. Advances in …

An ensemble learning approach based on diffusion tensor imaging measures for Alzheimer's disease classification

E Lella, A Pazienza, D Lofu, R Anglani, F Vitulano - Electronics, 2021 - mdpi.com
Recent advances in neuroimaging techniques, such as diffusion tensor imaging (DTI),
represent a crucial resource for structural brain analysis and allow the identification of …

MicroRNA expression classification for pediatric multiple sclerosis identification

G Casalino, G Castellano, A Consiglio… - Journal of Ambient …, 2023 - Springer
MicroRNAs (miRNAs) are a set of short non-coding RNAs that play significant regulatory
roles in cells. The study of miRNA data produced by Next-Generation Sequencing …

An Artificial‐Intelligence‐and Telemedicine‐Based Screening Tool to Identify Glaucoma Suspects from Color Fundus Imaging

A Bhuiyan, A Govindaiah, RT Smith - Journal of Ophthalmology, 2021 - Wiley Online Library
Background and Objective. Glaucomatous vision loss may be preceded by an enlargement
of the cup‐to‐disc ratio (CDR). We propose to develop and validate an artificial‐intelligence …

Crisprlearner: a deep learning-based system to predict crispr/cas9 sgrna on-target cleavage efficiency

G Dimauro, P Colagrande, R Carlucci, M Ventura… - Electronics, 2019 - mdpi.com
CRISPRLearner, the system presented in this paper, makes it possible to predict the on-
target cleavage efficiency (also called on-target knockout efficiency) of a given sgRNA …

[PDF][PDF] Towards a Situation Awareness for eHealth in Ageing Society.

C Ardito, T Di Noia, C Fasciano, D Lofú… - AIxAS@ AI …, 2020 - academia.edu
Situation awareness is a renowned approach leading to a decision. The results obtained by
measuring the awareness of stakeholders in healthcare can provide valuable inputs on the …

A hierarchical fuzzy system for risk assessment of cardiovascular disease

G Casalino, R Grassi, M Iannotta… - … IEEE Conference on …, 2020 - ieeexplore.ieee.org
Cardiovascular diseases are a group of heart and blood vessels disorders that are one of
the main causes of dead and invalidity. Prevention is fundamental to diagnose the condition …