Data Science in the Medical Field by Seifedine Kadry (.ePUB)
File Size: 56.7 MB
Data Science in the Medical Field by Seifedine Kadry, Shubham Mahajan
Requirements: .ePUB reader, 56.7 MB
Overview: Data Science has the potential to influence and improve fundamental services such as the healthcare sector. This book recognizes this fact by analyzing the potential uses of Data Science in healthcare. Every human body produces 2 TB of data each day. This information covers brain activity, stress level, heart rate, blood sugar level, and many other things. More sophisticated technology, such as Data Science, allows clinicians and researchers to handle such a massive volume of data to track the health of patients. The book focuses on the potential and the tools of Data Science to identify the signs of illness at an extremely early stage. Advances in information and communication technology and the latest Artificial Intelligence (AI) and Machine Learning (ML) approaches have made a profound series of shifts and changes in healthcare resulting in an advanced healthcare system, that is, Healthcare 4.0 which offers several enhanced services in terms of automated clinical decision support systems. The collected healthcare data is the main fuel for such enhanced services. With the help of the free source program Anaconda, we can quickly write in R or Python on several operating systems, including Windows, Linux, and Mac OS. It is well recognized as the sector that aids in the development, testing, and training of machines and has millions of users worldwide. Additionally, this enables us to utilize Anaconda to manage all the imported libraries, their dependencies, and the development environments. In creating methods for teaching our computer using TensorFlow, Scikit-Learn, etc.
Genre: Non-Fiction > Tech & Devices
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