Biomedical Data Mining For Information Retrieval : Methodologies , Techniques And Applications (EPUB)

Biomedical Data Mining For Information Retrieval : Methodologies , Techniques And Applications (EPUB)

Written by Sujata Dash

BIOMEDICAL DATA EXtraction AND RETRIEVEMENT

This book covers a wide range of fundamental scientific applications, including data mining, biomedical image processing and

information retrieval , in addition to emphasizing traditional computational approaches.

The issue of mining biomedical text, pictures, and visual features for information retrieval is covered in detail in Biomedical Data

Mining for Information Retrieval.

Because there is a wealth of readily available biological data for additional analysis, the discipline of biomedical and health informatics

is a developing one at the confluence of information science, computer science  and healthcare.

It presents both enormous opportunities and obstacles.

Through the analysis of biomedical and healthcare data, including patient data, electronic health records (EHRs), and lifestyle data ,

healthcare informatics seeks to assure high-quality, efficient healthcare, better treatment, and improved quality of life.

In the past, developing a model for the biomedical or healthcare industry typically required a domain specialist; however, more recent

developments in representation learning techniques enable us to construct the model automatically.

Because there are so many biomedical images available, biomedical image mining is a new field of study that is producing and storing

more and more digital images.

The most common types of these images are computed tomography (CT), X-ray, magnetic resonance imaging (MRI), nuclear medicine

imaging (PET, SPECT)  and ultrasound.

Data mining techniques can be used to digitize patients’ biological photos, which could potentially provide valuable insights into a

number of crucial healthcare-related problems.

In the medical field, image mining can assist identify novel connections between data and provide fresh, practical knowledge that

physicians can utilize to treat their patients.

Viewers

Researchers in artificial intelligence, machine learning, computer science, medical informatics, healthcare IOT, image processing and

clinical big data analytics, among other topics.

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