Knygos.lt klubas Knygos.lt nariams
195,01 €
-30%
Įprastai
278,59 €
Machine Learning for Healthcare Technologies
Machine Learning for Healthcare Technologies
Knygos.lt klubas Knygos.lt nariams
195,01 €
-30%
Įprastai
278,59 €
  • Išsiųsime per 12–18 d.d.
This book provides a snapshot of the state of current research at the interface between machine learning and healthcare with special emphasis on machine learning projects that are (or are close to) achieving improvement in patient outcomes. The book provides overviews on a range of technologies including detecting artefactual events in vital signs monitoring data; patient physiological monitoring; tracking infectious disease; predicting antibiotic resistance from genomic data; and managing chro…

Machine Learning for Healthcare Technologies (el. knyga) (skaityta knyga) | knygos.lt

Atsiliepimai

Aprašymas

This book provides a snapshot of the state of current research at the interface between machine learning and healthcare with special emphasis on machine learning projects that are (or are close to) achieving improvement in patient outcomes. The book provides overviews on a range of technologies including detecting artefactual events in vital signs monitoring data; patient physiological monitoring; tracking infectious disease; predicting antibiotic resistance from genomic data; and managing chronic disease.

With contributions from an international panel of leading researchers, this book will find a place on the bookshelves of academic and industrial researchers and advanced students working in healthcare technologies, biomedical engineering, and machine learning.

Knygos.lt klubas
Knygos.lt nariams
195,01 €
-30%
Įprastai
278,59 €
Kaina registruotiems pirkėjams
Prisijunkite ir už šią prekę
gausite 2,79 Knygų Eurų!?
Išsiųsime per 12–18 d.d.
Įsigykite dovanų kuponą
Daugiau

This book provides a snapshot of the state of current research at the interface between machine learning and healthcare with special emphasis on machine learning projects that are (or are close to) achieving improvement in patient outcomes. The book provides overviews on a range of technologies including detecting artefactual events in vital signs monitoring data; patient physiological monitoring; tracking infectious disease; predicting antibiotic resistance from genomic data; and managing chronic disease.

With contributions from an international panel of leading researchers, this book will find a place on the bookshelves of academic and industrial researchers and advanced students working in healthcare technologies, biomedical engineering, and machine learning.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
(rodomas nebus)