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Скачать или смотреть Machine Learning for Risk Classification and Diagnosis in Healthcare by Rasit Dinc

  • Healthcare in the Digital Age
  • 2024-10-16
  • 2618
Machine Learning for Risk Classification and Diagnosis in Healthcare by Rasit Dinc
digital healthhealthcare technologymachine learning in healthcareAI in healthcaretelemedicinehealth techfuture of healthcaremedical innovationpersonalized medicinehealth data analyticswearable health technatural health scienceshealthcare AIbiotechnologyhealth informaticshealth appsdigital transformation in healthcarehealth trendshealthcare researchmedical advancementshealthcare educationhealthcaremedicinebiomedicine
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Описание к видео Machine Learning for Risk Classification and Diagnosis in Healthcare by Rasit Dinc

This video provides an insightful overview of how machine learning (ML) is transforming healthcare, particularly in the areas of risk classification and diagnosis. By leveraging vast data sets, ML algorithms are able to identify complex patterns, predict disease risks, and facilitate early diagnosis. The video discusses the application of ML in fields such as cardiovascular health and cancer screening, while also addressing challenges related to data quality, privacy, and integration into clinical practice. The content is based on Chapter 2 of ‘‘Machine Learning for Healthcare’’ by Rasit Dinc.

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About the Author:

Rasit Dinc is a globally recognized figure in medical innovation, biotechnology, and healthcare entrepreneurship. As Chairman of INVAMED and RD Global, he has led groundbreaking developments in patented medical devices and pharmaceuticals, earning several international honors Medtech including the Medical Device Innovator of the Year (2025).

He holds three doctorate degrees, including in Health Sciences and in Business Administration. Complementing his academic foundation, Dinc has completed elite certifications from Harvard University, MIT, Yale, and Johns Hopkins, focusing on AI in healthcare, industrial biotechnology, and global public health systems.

With hundreds of publications and international conference presentations to his name, this book delivers insights far beyond the clinical field. It explores cutting-edge healthcare innovation, sustainable R&D investment strategies, and the future of digital health transformation with an entrepreneurial vision.

Author's Keywords: Rasit Dinc, INVAMED, RD Global, medical innovation, biotechnology, AI in healthcare, nonthermal varicose vein treatment, chronic disease therapy, Harvard healthcare certificate, MIT biotech expert, 2025 medical innovation award, healthcare entrepreneurship, vascular surgery technology.

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Book Purchase and Pre-Orders

Purchase the paperback version of “Digital Health: The Impact of Technology on Healthcare” by Rasit Dinc here: https://amzn.eu/d/dMlZqX6

Purchase the e-book version of “Digital Health: The Impact of Technology on Healthcare” by Rasit Dinc here: https://amzn.eu/d/2Mt28Bf

Pre-order the paperback version of “Machine Learning for Healthcare” by Rasit Dinc here: https://amzn.eu/d/eKhsAeG

Purchase the e-book version of “Machine Learning for Healthcare” by Rasit Dinc here: https://amzn.eu/d/3O42Unh

Pre-order the paperback version of “Natural Health Sciences: A Comprehensive Guide” by Rasit Dinc here: https://amzn.eu/d/i6qBKPY

Pre-order the hardcover version of “Natural Health Sciences: A Comprehensive Guide” by Rasit Dinc here: https://amzn.eu/d/dBy0bw9

Pre-order the e-book version of “Natural Health Sciences: A Comprehensive Guide” by Rasit Dinc here: https://amzn.eu/d/bxlLVh4

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Get in contact with Rasit Dinc on:

Twitter: https://x.com/RasitDinc
Linkedin:   / rasit-dinc-794812bb  

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