By Scott Spangler
Unstructured Mining ways to unravel advanced medical Problems
As the amount of clinical facts and literature raises exponentially, scientists want extra strong instruments and strategies to approach and synthesize info and to formulate new hypotheses which are probably to be either actual and significant. Accelerating Discovery: Mining Unstructured info for speculation Generation describes a unique method of medical examine that makes use of unstructured information research as a generative device for brand spanking new hypotheses.
The writer develops a scientific procedure for leveraging heterogeneous based and unstructured facts assets, info mining, and computational architectures to make the invention strategy speedier and better. This method hurries up human creativity via permitting scientists and inventors to extra without difficulty study and understand the gap of probabilities, examine possible choices, and notice totally new approaches.
Encompassing systematic and functional views, the ebook offers the required motivation and techniques in addition to a heterogeneous set of accomplished, illustrative examples. It unearths the significance of heterogeneous info analytics in assisting clinical discoveries and furthers information technological know-how as a discipline.
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Additional info for Accelerating discovery : mining unstructured information for hypothesis generation
5 summarizes such a predicted business-model shift. CHALLENGE (AND OPPORTUNITY) OF ACCELERATED DISCOVERY Of course, computer science is not immune to the same information overload that plagues the other sciences. Thus, one of the challenges involved in designing a solution for Accelerated Discovery is that it does involve a complex combination of so many different technologies and approaches. Probably, no single computer scientist exists who is highly proficient in all of the requisite areas. But putting together a team of computer scientists with expertise in all the important areas, along with a corresponding team 30 ◾ Accelerating Discovery of experts in the scientific domain, should make it feasible to build a working system.
Unstructured Information Mining Most of the critical information in science is unstructured. In other words, it comes in the form of words, not numbers. Unstructured information mining provides the ability to reliably and accurately convert words into other kinds of structures that computers can more readily deal with. As we will see in this book, this is a key element of the accelerated discovery process. This allows us to go beyond retrieving the right document, to actually discovering hidden relationships between the elements described by those documents.
28 ◾ Accelerating Discovery The second step of the data transformation fills a huge gap that exists today across industries. We now can extract tens of millions of chemical structures from patents and publications in hours or minutes. In the past, such an endeavor would have taken hundreds of chemists manually reading documents months or even years. Scientists can now immediately find all chemical compounds invented in the past. The third step of the data transformation reveals more comprehensive views of the scientific domain to scientists.
Accelerating discovery : mining unstructured information for hypothesis generation by Scott Spangler