Machine Learning for Healthcare
2024年7月 · Troubador Publishing Ltd
電子書
200
頁
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關於本電子書
Authored by a leading voice in the field, Machine Learning for Healthcare provides a gateway to revolutionize the understanding of medicine and patient care. The book unlocks the secrets of clinical data, harnessing the power of machine learning to diagnose diseases with unprecedented accuracy, and predicting patient outcomes with confidence. From the intricacies of disease progression to the human factors shaping healthcare delivery, each chapter is a testament to the transformative potential of AI in medicine. Readers include anyone passionate about the intersection of technology and human well-being from healthcare professionals eager to stay ahead of the curve, to bystanders fascinated by the possibilities of AI.
關於作者
Rasit Dinc holds a PhD in Health Science, an MBA from Anglia Ruskin University and has undertaken multiple academic ventures at institutions such as Harvard Medical School, MIT and Yale. He is also widely published in academic journals in the healthcare sector and an avid speaker at medical device symposiums across the globe.
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