Survey of deep learning techniques for disease prediction based on omics data
X Yu, S Zhou, H Zou, Q Wang, C Liu, M Zang, T Liu - Human Gene, 2023 - Elsevier
In the era of big data, computer science has been applied to every aspect of biomedical
field. At the same time, transforming biomedical data into valuable knowledge is one of the …
field. At the same time, transforming biomedical data into valuable knowledge is one of the …
NSL-MHA-CNN: a novel CNN architecture for robust diabetic retinopathy prediction against adversarial attacks
O Daanouni, B Cherradi, A Tmiri - IEEE Access, 2022 - ieeexplore.ieee.org
Convolution Neural Network (CNN) models have gained ground in research activities
particularly in medical images used for Diabetes Retinopathy (DR) detection. X-ray, MRI …
particularly in medical images used for Diabetes Retinopathy (DR) detection. X-ray, MRI …
Concatenation of pre-trained convolutional neural networks for enhanced COVID-19 screening using transfer learning technique
Coronavirus (COVID-19) is the most prevalent coronavirus infection with respiratory
symptoms such as fever, cough, dyspnea, pneumonia, and weariness being typical in the …
symptoms such as fever, cough, dyspnea, pneumonia, and weariness being typical in the …
Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique
Parkinson's disease is the second most common neurological disorder that causes
significant physical disabilities, decreases the quality of life, and does not have a cure …
significant physical disabilities, decreases the quality of life, and does not have a cure …
An explainable AI paradigm for Alzheimer's diagnosis using deep transfer learning
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of
individuals worldwide, causing severe cognitive decline and memory impairment. The early …
individuals worldwide, causing severe cognitive decline and memory impairment. The early …
[PDF][PDF] COVID-19 Detection on x-ray images using a combining mechanism of pre-trained CNNs
The COVID-19 infection was sparked by the severe acute respiratory syndrome SARS-CoV-
2, as mentioned by the World Health Organization, and originated in Wuhan, Republic of …
2, as mentioned by the World Health Organization, and originated in Wuhan, Republic of …
Ensembling of efficient deep convolutional networks and machine learning algorithms for resource effective detection of tuberculosis using thoracic (chest) …
R Mehrrotraa, MA Ansari, R Agrawal, P Tripathi… - IEEE …, 2022 - ieeexplore.ieee.org
Tuberculosis (TB) is a communicable pulmonary disorder and countries with low and middle-
income share a higher TB burden as compared to others. The year 2020–2021 universally …
income share a higher TB burden as compared to others. The year 2020–2021 universally …
Harnessing the power of AI: Advanced deep learning models optimization for accurate SARS-CoV-2 forecasting
The pandemic has significantly affected many countries including the USA, UK, Asia, the
Middle East and Africa region, and many other countries. Similarly, it has substantially …
Middle East and Africa region, and many other countries. Similarly, it has substantially …
Screening medical face mask for coronavirus prevention using deep learning and AutoML
In the last two years, the COVID-19 pandemic causes a global health crisis around the
world. On the other hand, given the current shortage and limits of medical resources, the …
world. On the other hand, given the current shortage and limits of medical resources, the …
[PDF][PDF] Sentiment Analysis onMoroccan Dialect based on ML and Social Media Content Detection
As technology continues to evolve, humans tend to follow suit, and currently social media
has taken place as the defacto method of communication. As it tends to happen with verbal …
has taken place as the defacto method of communication. As it tends to happen with verbal …