Algorithms and Applications of Machine Learning Techniques for Healthcare are at the forefront of the global effort to improve human health and provide high-quality healthcare for all. Machine learning, a subset of artificial intelligence, enables machines to mimic intelligent human behavior, revolutionizing various aspects of our lives. The integration of machine learning into healthcare has resulted in significant advancements, including patient diagnosis, automation of health-related tasks, new treatments, cost reduction, and telemedicine.
Researchers worldwide are continuously working to enhance the state-of-the-art in healthcare by leveraging machine learning techniques. The Special Issue seeks to showcase original works that contribute to this field, with a focus on patient diagnosis, treatment automation, cost reduction, and other related topics. Authors are encouraged to submit their unpublished manuscripts online for consideration.
Manuscripts submitted for review should be original and not under consideration elsewhere. Following a single-blind peer-review process, accepted papers will be published in the journal. Researchers are invited to submit research articles, review articles, and short communications that align with the theme of the Special Issue.
To submit a manuscript, authors must register on the journal’s website and follow the submission guidelines. Manuscripts should be well-formatted, written in good English, and adhere to the Instructions for Authors. An Article Processing Charge (APC) applies for publication in the open-access journal.
In conclusion, the intersection of machine learning and healthcare holds immense potential for transforming the delivery of healthcare services globally. By harnessing the power of algorithms and applications in machine learning, researchers are paving the way for a future where access to high-quality healthcare is readily available to all.
