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Clinical herbal prescriptions = prin...

Wang, Sun-Chong.

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Clinical herbal prescriptions = principles and practices of herbal formulations from deep learning health insurance herbal prescription big data /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Clinical herbal prescriptions/ Sun-Chong Wang.
Reminder of title:	principles and practices of herbal formulations from deep learning health insurance herbal prescription big data /
Author:	Wang, Sun-Chong.
Published:	Singapore :World Scientific, : c2019.,
Description:	1 online resource (520 p.) :ill.
Subject:	Herbs - Therapeutic use. -
Online resource:	https://www.worldscientific.com/worldscibooks/10.1142/11211#t=toc
ISBN:	9789813278257

Clinical herbal prescriptions = principles and practices of herbal formulations from deep learning health insurance herbal prescription big data /
Wang, Sun-Chong.

Clinical herbal prescriptionsprinciples and practices of herbal formulations from deep learning health insurance herbal prescription big data /[electronic resource] :Sun-Chong Wang. - 1st ed. - Singapore :World Scientific,c2019. - 1 online resource (520 p.) :ill.

Includes bibliographical references and index.

"Since AlphaGo defeated Ke Jie (who was then ranked 1st among all human players worldwide) May 2017, the art of Go (otherwise known as Weiqi) has entered a new era. Similarly, if we apply artificial intelligence (AI) to herbal medicine, the art of herbal prescription can experience a game change too. The author of this book has done exactly that, and via reverse engineering of the trained AI, the book details how one can compose herbal prescriptions from scratch. As artificial intelligence (AI) technologies outperform humans in such tasks as image/voice recognition and language translation, mastering of concentrated herbal extract granules (CHEG) prescription composition by AI is not a fiction, provided large quantities of high-quality CHEG prescription data are available. Thanks to the 340 million records of modern Western medicine diagnoses and corresponding CHEG prescriptions in the National Health Insurance Reimbursement Database (Taiwan) recorded in the decade between 2004 and 2013, the book is based on the results of applying state-of-the-art deep learning technologies to the CHEG prescription big data."--

Mode of access: World Wide Web.

ISBN: 9789813278257Subjects--Topical Terms:

527844
Herbs
--Therapeutic use.

LC Class. No.: RM666.H33 / W356 2019

Dewey Class. No.: 615.3/21

Clinical herbal prescriptions = principles and practices of herbal formulations from deep learning health insurance herbal prescription big data /
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245 1 0 $a Clinical herbal prescriptions $h [electronic resource] : $b principles and practices of herbal formulations from deep learning health insurance herbal prescription big data / $c Sun-Chong Wang.
250 $a 1st ed.
260 $a Singapore : $b World Scientific, $c c2019.
300 $a 1 online resource (520 p.) : $b ill.
504 $a Includes bibliographical references and index.
520 $a "Since AlphaGo defeated Ke Jie (who was then ranked 1st among all human players worldwide) May 2017, the art of Go (otherwise known as Weiqi) has entered a new era. Similarly, if we apply artificial intelligence (AI) to herbal medicine, the art of herbal prescription can experience a game change too. The author of this book has done exactly that, and via reverse engineering of the trained AI, the book details how one can compose herbal prescriptions from scratch. As artificial intelligence (AI) technologies outperform humans in such tasks as image/voice recognition and language translation, mastering of concentrated herbal extract granules (CHEG) prescription composition by AI is not a fiction, provided large quantities of high-quality CHEG prescription data are available. Thanks to the 340 million records of modern Western medicine diagnoses and corresponding CHEG prescriptions in the National Health Insurance Reimbursement Database (Taiwan) recorded in the decade between 2004 and 2013, the book is based on the results of applying state-of-the-art deep learning technologies to the CHEG prescription big data."-- $c Publisher's website.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat Reader.
588 $a Description based on print version record.
650 0 $a Herbs $x Therapeutic use. $3 527844
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/11211#t=toc