Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks.

Features:

• Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care.
• Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery.
• Summarizes several strategies, analyses, and optimization methods for patient healthcare.
• Focuses on drug discovery and development by cloud computing and data-driven research

The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.

Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks.

Features:

• Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care.
• Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery.
• Summarizes several strategies, analyses, and optimization methods for patient healthcare.
• Focuses on drug discovery and development by cloud computing and data-driven research

The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.