Machine Learning for Healthcare Systems: Foundations and Applications

Digital technology in healthcare has been slow to implement, but it is essential to give patients the best treatment possible. Machine learning has enabled the extensive use of personalized medicine, which aims to identify, forecast, and analyze diagnostic decisions using vast volumes of healthcare data. This book provides insights into machine learning techniques in healthcare system data and its analysis.

Format: Hardback
Length: 222 pages
Publication date: 22 September 2023
Publisher: River Publishers

The introduction of digital technology in the healthcare industry has brought about significant challenges in its implementation and utilization. Progress in unifying different healthcare systems has been slow, and many parts of the world still lack a fully integrated healthcare system. The complexity and development of human biology, along with the diverse needs of patients, have underscored the importance of the human element in diagnosing and treating illnesses.

However, as digital technology continues to evolve, healthcare providers will increasingly rely on it to deliver the best possible care to their patients.

The extensive use of machine learning in various industries, including healthcare, has been facilitated by advancements in data technologies, such as storage capacity, processing capability, and data transit speeds. These technological advancements have opened up new possibilities for analyzing and interpreting large volumes of healthcare data.

One of the emerging trends in medicine is the need for a personalized medicine or precision medicine approach. Due to the complexity of providing effective healthcare to each individual, personalized medicine aims to identify, forecast, and analyze diagnostic decisions using vast volumes of healthcare data. This data encompasses various aspects, including information on a person's genes or family history, medical imaging data, drug combinations, patient health outcomes at the community level, and natural language processing of pre-existing medical documentation.

This book offers valuable insights into machine learning techniques in healthcare system data and their analysis. It highlights recent technological advancements in the healthcare system, representing cutting-edge innovations and global research successes in performance modeling, analysis, and applications.

By leveraging machine learning and personalized medicine, healthcare providers can enhance their ability to diagnose, treat, and manage diseases more effectively. This approach can lead to improved patient outcomes, reduced healthcare costs, and a better understanding of the underlying causes of diseases.

As digital technology continues to advance, it is expected to play a pivotal role health in shaping the future of healthcare. By embracing these technologies and implementing them in a responsible and ethical manner, healthcare providers can improve the quality of care and promote healthier populations worldwide.

Weight: 620g
Dimension: 234 x 156 (mm)
ISBN-13: 9788770228114