Machine Learning In Healthcare – alle Bücher

Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machin…

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Suparna Biswas
Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection

Introduction.- Introduction to Human Activity Recognition, Fall Monitoring and Detection, Health monitoring.- Fundamental concepts.- Machine Learning in Human Activity Recognition using Smartphone Sensors…

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Machine Learning Methods in Biomedical Field

This book provides an in-depth exploration of machine learning techniques and their biomedical applications, particularly in developing intelligent computer-aided diagnostic systems, creating groundbreaki…

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Advancing Healthcare Through Decision Intelligence

Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics demonstrates real-world applications of decision intelligence - specifically machine…

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Rhythmische Vorteile in Big Data und Machine Learning

Das Buch behandelt verschiedene Aspekte der Biophysik, beginnend mit einem populären Artikel über Neurobiologie und erstreckt sich bis zur Quantenbiologie, um letztendlich das Bewusstsein sowohl von Mensc…

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Krish W. Ramadurai, Abhirup Banerjee
Machine Learning-Driven Rational Design in Nanomedicine

SpringerBriefs in Bioengineering

This book explores how machine learning is transforming nanomedicine, with a focus on the rational design of lipid nanoparticles (LNPs) for mRNA-based therapies. Moving beyond traditional, labor-intensive…

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Computational Intelligence for Machine Learning and Healthcare Informatics

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a uniqu…

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Marc Scheufen, Armin Mertens
Datenbearbeitung und -visualisierung mit R

Einführung.- Daten bearbeiten und strukturieren mit tidyverse.- Daten visualisieren mit ggplot.- Weiterführende Visualisierungen mit ggplot, gganimate, stargazer und sf für Geodaten.- Einführung in simula…

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Leslye Denisse Dias Duran
Machine Learning in Medical Diagnosis

This book seeks to navigate between the optimism that has arisen from the promise of the potential of machine learning (ML) in healthcare, and the lack of clarity about what realistic risks and benefits w…

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Advancements in Machine Learning

This CCIS 2538 volume constitutes the proceedings of First and Second International Conference on Advancements in Machine Learning, ICCAML 2024, in Pune, India, during February 28--29, 2024.The 19 full pa…

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Machine Learning in MRI

Machine Learning in MRI: From Methods to Clinical Translation, Volume Thirteen in the Advances in Magnetic Resonance Technology and Applications series presents state-of-the-art machine learning methods i…

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Machine Learning in Medical Imaging

.- LGE-Guided Cross-Modality Contrastive Learning for Gadolinium-Free Cardiomyopathy Screening in Cine CMR. .- Facial Model Assisted Shape Prediction for Orthognathic Surgery. .- Joint Motion Correction o…

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Jinjin Li, Yanqiang Han
Machine Learning in Protein Science

Harness the power of machine learning for quick and efficient calculations of protein structures and propertiesMachine Learning in Protein Science is a unique and practical reference that shows how to emp…

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Anna Dawid, Alexandre Dauphin, Julian Arnold
Machine Learning in Quantum Sciences

This book provides an accessible introduction to machine learning and demonstrates its applications in the quantum sciences. Readers will be equipped with the necessary tools to engage with emerging liter…

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Machine Learning in Water Treatment

Machine Learning in Water Treatment is a must-have for anyone interested in how artificial intelligence is transforming water treatment, offering practical insights, case studies, and a deep dive into cut…

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Machine Learning in Astronomy (IAU S368)

Today's astronomical observatories are generating more data than ever, from surveys to deep images. Machine learning methods can be a powerful tool to harness the full potential of these new observatories…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

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Application of Machine Learning in Earth Sciences

This book introduces the reader to applications of machine learning (ML) in Earth Sciences. In detail, it describes the basic application of machine learning algorithms and models and their potential in E…

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Machine Learning Applications in Medicine and Biology

This book combines selected papers from the 2022 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) held at Temple University. The symposium presents multidisciplinary research in the li…

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