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Recent Advances in Computational Optimization Techniques and Their Modern Applications for Smart HealthCare
Medical and healthcare-related research is moving to new fronts in accuracy due to the growing number of data being acquired in healthcare systems and the convergence of diverse areas of knowledge in the health sector. Along with providing a rare chance and solid assurance for tackling various pressing issues, this trend also has technical applications of artificial intelligence (AI) and operations research (OR). Recently, AI techniques have been researched and used as potentially useful tools for the creation and implementation of intelligent systems inside the healthcare system. By taking into account the undeniable uncertainty of health data and procedures, AI-based systems can often learn from data and adapt according to real-time changes and fluctuations. There have been numerous attempts to date using a variety of techniques, including machine learning (ML), neural networks, optimization, computational intelligence, and human-machine interaction. This Topic Issue invites papers discussing recent advances in the development and application of Optimization, Machine Learning, and Artificial Intelligence in Healthcare.
Dr. Mohd Dilshad Ansari
Prof. Dr. Mohd Fauzi Bin Othman
Dr. Jawad Rasheed
Dr. Mazdak Zamani
- optimization methods
- computational approaches
- machine learning
- artificial intelligence
- smart healthcare system
- heuristic search methods
- automation by AI, ML and DL in healthcare etc.
|Journal Name||Impact Factor||CiteScore||Launched Year||First Decision (median)||APC|
|2.592||3.5||2013||16.8 Days||2100 CHF||Submit|
|2.838||4.5||2011||14.9 Days||2300 CHF||Submit|
|2.690||4.7||2012||14.4 Days||2000 CHF||Submit|
|3.160||2.7||2013||19.1 Days||2000 CHF||Submit|
|2.940||4.9||2009||14.2 Days||2000 CHF||Submit|
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