A Smiti - Computer Science Review, 2020 - Elsevier
Imagine the enormous amounts of data that can be generated in the medical field. Each patient has his own medical record which contains valuable information like patient allergy …
The role of machine learning in the healthcare industry is inevitable due to its power to use in disease detection and management. Disease diagnosis using machine-learning …
KA Bhavsar, A Abugabah, J Singla… - Computers …, 2021 - zuscholars.zu.ac.ae
The unavailability of sufficient information for proper diagnosis, incomplete or miscommunication between patient and the clinician, or among the healthcare …
The most crucial task in the healthcare field is disease diagnosis. If a disease is diagnosed early, many lives can be saved. Machine learning classification techniques can significantly …
AV Vasilakos, Y Tang, Y Yao - Neurocomputing, 2016 - Elsevier
This survey makes an overview of the most recent applications on the neural networks for the computer-aided medical diagnosis (CAMD) over the past decade. CAMD can facilitate …
A broad range of medical diagnoses is based on analyzing disease images obtained through high-tech digital devices. The application of artificial intelligence (AI) in the …
A dynamic research area which is progressively growing its importance in the field of medical diagnosis and detection is computer-aided diagnosis and detection. Suppose we …
SH Ismael, SW Kareem… - AL-Rafidain Journal of …, 2020 - mosuljournals.com
The different types of white blood cells equips us an important data for diagnosing and identifying of many diseases. The automation of this task can save time and avoid errors in …
EMF El Houby - Journal of Applied Biomedicine, 2018 - Elsevier
During the past years, the increase in scientific knowledge and the massive data production have caused an exponential growth in databases and repositories. Biomedical domain …