Machine Learning in Healthcare

Author Topic: Machine Learning in Healthcare  (Read 67 times)

Offline anwar.swe

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Machine Learning in Healthcare
« on: February 28, 2020, 01:33:48 AM »
The healthcare sector has long been an early adopter of and benefited greatly from technological advances. These days, machine learning (a subset of artificial intelligence) plays a key role in many health-related realms, including the development of new medical procedures, the handling of patient data and records and the treatment of chronic diseases. As computer scientist Sebastian Thrum told the New Yorker in a recent article titled “A.I. Versus M.D., “Just as machines made human muscles a thousand times stronger, machines will make the human brain a thousand times more powerful.”

Despite warnings from some doctors that things are moving too fast, the rate of progress keeps increasing. And for many, that’s as it should be. "AI is the future of healthcare,” Fatima Paruk, CMO of Chicago-based Allscripts Analytics, said in 2017. She went on to explain how critical it would be in the ensuing few years and beyond — in the care management of prevalent chronic diseases; in the leveraging of “patient-centered health data with external influences such as pollution exposure, weather factors and economic factors to generate precision medicine solutions customized to individual characteristics”; in the use of genetic information “within care management and precision medicine to uncover the best possible medical treatment plans.”

https://builtin.com/artificial-intelligence/machine-learning-healthcare
Nd. Anwar Hossen
Senior Lecturer
Mentor, IEEE DIU Student Branch
Department of Software Engineering, FSIT
Daffodil International University

Offline SSH Shamma

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Re: Machine Learning in Healthcare
« Reply #1 on: February 29, 2020, 07:38:10 PM »
Thanks for sharing
Syeda Sumbul Hossain
Lecturer, SWE
Daffodil International University
Contact No. 01918455555