Exploring the New Frontier in Tropical Medicine with Computational Intelligence, AI, and IoT Integration for Healthcare

With the advancement of medical technology, the biomedical area brought about the big data age, which in turn gave rise to computational intelligent medicine, which is powered by technology. It is necessary to extract the useful information from these large biological data sets in order to advance precision medicine. A lot of time and human resources are needed to extract features from biomedical data using machine learning techniques, which often rely on feature engineering and expert domain knowledge. As a cutting-edge subfield of machine learning, deep learning differs from conventional methods in that it can automatically extract strong and sophisticated features from unprocessed data without the need for feature development.

Expanded Computational Intelligence (CI) assumptions are being used more and more to build robust digital applications that promote safety, quality, and efficacy in all areas of healthcare. Computational intelligence is based on technically inspired computational algorithms, and the primary components are genetic codes, neural networks, and fuzzy systems. Many techniques, fields, and natural processes have been used to characterize computational intelligence as a useful solution to real-world issues. Technological developments in recent years have opened up a wide range of applications for the Internet of Things (IoT), especially in the healthcare and medical sciences sectors. The use of data and different algorithms has led to the development of fascinating items such as healthcare robotics, precise sensors, smart healthcare, remote confirmation, and smart hospitals. In order to address health issues through Internet of Things applications, computational intelligence uses algorithms to create intelligent systems. Healthcare is one of the areas that computational intelligence is changing, and the growing sophistication of artificial intelligence is propelling significant industry expansion. The application of models like brain function modeling, algorithmic learning, game theory, and financial analysis, along with the growing market for computational intelligence, portends a new age of opportunities in the area.

Computational intelligence is capable of helping project a patient's risk of an infection, developing early alarms that can help medical professionals respond as quickly as possible. The use of computational intelligence to estimate infections in patients using physiological data as features. This special issue explores the use of computational intelligence in healthcare, which has greatly accelerated the digitization of health services. Computational intelligence allows computers to perform tasks that ordinarily require human intelligence, leading to significant breakthroughs in healthcare, including more effective drug discovery and better screening of patients for clinical trials.

We welcome papers on but not limited to:

• Health Care Forecasting for Different Illnesses via Computational Intelligence Methods

• A Strategy for applied smart health care informatics from the perspective of computational intelligence

• Using artificial intelligence to diagnose heart conditions automatically in healthcare systems

• Soft processing and computational intelligence implications for healthcare management economics

• An overview of the uses, difficulties, and operation of computational intelligence in healthcare

• Health care technology and the development of computational intelligence in contemporary medicine

• A structure utilizing computational intelligence approaches for decision support systems

• An Internet of Things strategy to combine wearable sensors and computational intelligence

• Healthcare applications of computational intelligence, with a focus on biological information science

• An Overview of Deep Computing and Computational Intelligence in Healthcare Informatics

• Methods and Uses of Computational Intelligence in Medical Evaluation and Choice Making.

This Collection supports and amplifies research related to SDG 3, Good Health and Well-Being .

We are committed to supporting participation in this issue wherever resources are a barrier. For more information about what support may be available, please visit OA funding and support, or email [email protected] or contact the Editor-in-Chief.