Applied Machine Learning in Healthcare

Prijzen vanaf
167,00

Uitgelicht

VERGELIJK ALLE AANBIEDERS (3)

Beschrijving

Bol This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain. It delves into the use of machine learning for disease diagnosis and prognosis, showcasing its potential to enable accurate disease identification, effective risk stratification, and treatment planning. This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain. It delves into the use of machine learning for disease diagnosis and prognosis, showcasing its potential to enable accurate disease identification, effective risk stratification, and personalized treatment planning. The role of machine learning in enhancing clinical decision support systems (CDSS) is examined in detail, with a focus on its impact on informed decision‑making, predictive modelling, and real‑time patient monitoring. Features real‑world case studies and applications that demonstrate the practical use of machine learning in healthcare, including radiology, predictive analytics, personalised medicine, and resource optimisation Covers essential stages of data preprocessing and feature engineering for healthcare datasets, addressing challenges such as data cleaning, normalisation, dimensionality reduction, and feature selection Provides an in‑depth overview of CDSS and the integration of machine learning algorithms to improve diagnostic accuracy and clinical workflow efficiency Explores machine learning‑driven real‑time monitoring and alert systems, underscoring their utility in promptly identifying and responding to critical medical events Discusses advances in medical image analysis, including segmentation, classification, and computer‑aided diagnosis techniques This comprehensive volume serves as a valuable resource for researchers, clinicians, healthcare professionals, data scientists, and students seeking to understand and apply machine learning for improved healthcare outcomes.

Vergelijk aanbieders (3)

Shop
Prijs
Verzendkosten
Totale prijs
167,00
Gratis
167,00
Naar shop
Gratis Shipping Costs
180,20
Gratis
180,20
Naar shop
Gratis Shipping Costs
180,20
Gratis
180,20
Naar shop
Gratis Shipping Costs
Beschrijving (2)
Bol

This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain. It delves into the use of machine learning for disease diagnosis and prognosis, showcasing its potential to enable accurate disease identification, effective risk stratification, and treatment planning. This book explores the latest advancements in machine learning techniques and their transformative applications in the healthcare domain. It delves into the use of machine learning for disease diagnosis and prognosis, showcasing its potential to enable accurate disease identification, effective risk stratification, and personalized treatment planning. The role of machine learning in enhancing clinical decision support systems (CDSS) is examined in detail, with a focus on its impact on informed decision‑making, predictive modelling, and real‑time patient monitoring. Features real‑world case studies and applications that demonstrate the practical use of machine learning in healthcare, including radiology, predictive analytics, personalised medicine, and resource optimisation Covers essential stages of data preprocessing and feature engineering for healthcare datasets, addressing challenges such as data cleaning, normalisation, dimensionality reduction, and feature selection Provides an in‑depth overview of CDSS and the integration of machine learning algorithms to improve diagnostic accuracy and clinical workflow efficiency Explores machine learning‑driven real‑time monitoring and alert systems, underscoring their utility in promptly identifying and responding to critical medical events Discusses advances in medical image analysis, including segmentation, classification, and computer‑aided diagnosis techniques This comprehensive volume serves as a valuable resource for researchers, clinicians, healthcare professionals, data scientists, and students seeking to understand and apply machine learning for improved healthcare outcomes.

Amazon

Pagina's: 352, Editie: Eerste editie, Hardcover, Chapman and Hall/CRC


Productspecificaties

Merk Chapman and Hall/CRC
EAN
  • 9781032765945
Maat


Prijshistorie

* Prijshistorie bevat geen data van Amazon, Amazon Marketplace.

Prijzen voor het laatst bijgewerkt op:

Uitgelichte Keuze
167,00
Naar shop