Search Results - "Informatics in medicine unlocked"

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images by Islam, Md. Zabirul, Islam, Md. Milon, Asraf, Amanullah

“…Nowadays, automatic disease detection has become a crucial issue in medical science due to rapid population growth. An automatic disease detection framework…”
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A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2 by Rahimzadeh, Mohammad, Attar, Abolfazl

“…In this paper, we have trained several deep convolutional networks with introduced training techniques for classifying X-ray images into three classes: normal,…”
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AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app by Imran, Ali, Posokhova, Iryna, Qureshi, Haneya N., Masood, Usama, Riaz, Muhammad Sajid, Ali, Kamran, John, Charles N., Hussain, MD Iftikhar, Nabeel, Muhammad

“…The inability to test at scale has become humanity's Achille's heel in the ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game…”
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Improving the accuracy of prediction of heart disease risk based on ensemble classification techniques by Latha, C. Beulah Christalin, Jeeva, S. Carolin

“…Machine learning involves artificial intelligence, and it is used in solving many problems in data science. One common application of machine learning is the…”
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Classification models for heart disease prediction using feature selection and PCA by Gárate-Escamila, Anna Karen, Hajjam El Hassani, Amir, Andrès, Emmanuel

“…The prediction of cardiac disease helps practitioners make more accurate decisions regarding patients' health. Therefore, the use of machine learning (ML) is a…”
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Deep learning approaches to biomedical image segmentation by Rizwan I Haque, Intisar, Neubert, Jeremiah

“…The review covers automatic segmentation of images by means of deep learning approaches in the area of medical imaging. Current developments in machine…”
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Hybrid deep learning for detecting lung diseases from X-ray images by Bharati, Subrato, Podder, Prajoy, Mondal, M. Rubaiyat Hossain

“…Lung disease is common throughout the world. These include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely…”
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Diabetic retinopathy detection through deep learning techniques: A review by Alyoubi, Wejdan L., Shalash, Wafaa M., Abulkhair, Maysoon F.

“…Diabetic Retinopathy (DR) is a common complication of diabetes mellitus, which causes lesions on the retina that effect vision. If it is not detected early, it…”
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COVID-19 detection in CT images with deep learning: A voting-based scheme and cross-datasets analysis by Silva, Pedro, Luz, Eduardo, Silva, Guilherme, Moreira, Gladston, Silva, Rodrigo, Lucio, Diego, Menotti, David

“…Early detection and diagnosis are critical factors to control the COVID-19 spreading. A number of deep learning-based methodologies have been recently proposed…”
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Molecular docking and dynamic simulations for antiviral compounds against SARS-CoV-2: A computational study by Peele, K. Abraham, Potla Durthi, Chandrasai, Srihansa, T., Krupanidhi, S., Ayyagari, Vijaya Sai, Babu, D. John, Indira, M., Reddy, A. Ranganadha, Venkateswarulu, T.C.

“…The aim of this study was to develop an appropriate anti-viral drug against the SARS-CoV-2 virus. An immediately qualifying strategy would be to use existing…”
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Skin cancer detection: Applying a deep learning based model driven architecture in the cloud for classifying dermal cell images by Kadampur, Mohammad Ali, Al Riyaee, Sulaiman

“…Skin cancer is a common form of cancer, and early detection increases the survival rate. To build deep learning models to classify dermal cell images and…”
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Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review by Alballa, Norah, Al-Turaiki, Isra

“…The existence of widespread COVID-19 infections has prompted worldwide efforts to control and manage the virus, and hopefully curb it completely. One important…”
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EMCNet: Automated COVID-19 diagnosis from X-ray images using convolutional neural network and ensemble of machine learning classifiers by Saha, Prottoy, Sadi, Muhammad Sheikh, Islam, Md. Milon

“…Recently, coronavirus disease (COVID-19) has caused a serious effect on the healthcare system and the overall global economy. Doctors, researchers, and experts…”
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Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images by Motamed, Saman, Rogalla, Patrik, Khalvati, Farzad

“…Successful training of convolutional neural networks (CNNs) requires a substantial amount of data. With small datasets, networks generalize poorly. Data…”
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A model for early prediction of diabetes by Mahboob Alam, Talha, Iqbal, Muhammad Atif, Ali, Yasir, Wahab, Abdul, Ijaz, Safdar, Imtiaz Baig, Talha, Hussain, Ayaz, Malik, Muhammad Awais, Raza, Muhammad Mehdi, Ibrar, Salman, Abbas, Zunish

“…Diabetes is a common, chronic disease. Prediction of diabetes at an early stage can lead to improved treatment. Data mining techniques are widely used for…”
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COVID faster R–CNN: A novel framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray images by Shibly, Kabid Hassan, Dey, Samrat Kumar, Islam, Md Tahzib-Ul, Rahman, Md Mahbubur

“…COVID-19 or novel coronavirus disease, which has already been declared as a worldwide pandemic, at first had an outbreak in a large city of China, named Wuhan…”
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DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation by Hasan, Md. Kamrul, Elahi, Md. Toufick E., Alam, Md. Ashraful, Jawad, Md. Tasnim, Martí, Robert

“…Although automated Skin Lesion Classification (SLC) is a crucial integral step in computer-aided diagnosis, it remains challenging due to variability in…”
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IoT based wearable device to monitor the signs of quarantined remote patients of COVID-19 by Al Bassam, Nizar, Hussain, Shaik Asif, Al Qaraghuli, Ammar, Khan, Jibreal, Sumesh, E.P., Lavanya, Vidhya

“…Monitoring and managing potential infected patients of COVID-19 is still a great challenge for the latest technologies. In this work, IoT based wearable…”
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Transfer learning with fine-tuned deep CNN ResNet50 model for classifying COVID-19 from chest X-ray images by Hossain, Md. Belal, Iqbal, S.M. Hasan Sazzad, Islam, Md. Monirul, Akhtar, Md. Nasim, Sarker, Iqbal H.

“…COVID-19 cases are putting pressure on healthcare systems all around the world. Due to the lack of available testing kits, it is impractical for screening…”
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A Random Forest based predictor for medical data classification using feature ranking by Alam, Md. Zahangir, Rahman, M. Saifur, Rahman, M. Sohel

“…Medical data classification is considered to be a challenging task in the field of medical informatics. Although many works have been reported in the…”
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