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Signals Before Symptoms: MACHINE LEARNING FOR EARLY DETECTION " Signals Before Symptoms" Early Detection of Parkinson's and Alzheimer's Disease from Imaging, Speech, Gait, and Clinica... - Couverture souple
Synopsis
What if the earliest signs of Parkinson's and Alzheimer's disease are already hidden in the data and machine learning can reveal them before symptoms appear?
Signals Before Symptoms is a practical, rigorous guide to building trustworthy machine-learning systems for early-detection research. Written for researchers, engineers, clinicians, and postgraduate students, it explores meaningful signals across MRI, PET, DaTSCAN, speech, gait, wearables, handwriting, digital biomarkers, and clinical, cognitive, and genetic data.
Move beyond inflated accuracy. Learn to prevent data leakage, harmonise multisite datasets, manage missing modalities, evaluate performance at real-world prevalence, test explanations, and communicate uncertainty honestly. Twelve revealing case files expose why promising models fail, while a complete worked study demonstrates the journey from research question to defensible conclusion.
Featuring exercises, reporting checklists, dataset guidance, code recipes, and global perspectives on regulation, ethics, deployment, and equity, this book helps you create research that is reproducible, clinically meaningful, and built to withstand scrutiny.
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Paperback. Etat : new. Paperback. What if the earliest signs of Parkinson's and Alzheimer's disease are already hidden in the data and machine learning can reveal them before symptoms appear?Signals Before Symptoms is a practical, rigorous guide to building trustworthy machine-learning systems for early-detection research. Written for researchers, engineers, clinicians, and postgraduate students, it explores meaningful signals across MRI, PET, DaTSCAN, speech, gait, wearables, handwriting, digital biomarkers, and clinical, cognitive, and genetic data.Move beyond inflated accuracy. Learn to prevent data leakage, harmonise multisite datasets, manage missing modalities, evaluate performance at real-world prevalence, test explanations, and communicate uncertainty honestly. Twelve revealing case files expose why promising models fail, while a complete worked study demonstrates the journey from research question to defensible conclusion.Featuring exercises, reporting checklists, dataset guidance, code recipes, and global perspectives on regulation, ethics, deployment, and equity, this book helps you create research that is reproducible, clinically meaningful, and built to withstand scrutiny. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798906731166
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Paperback. Etat : new. Paperback. What if the earliest signs of Parkinson's and Alzheimer's disease are already hidden in the data and machine learning can reveal them before symptoms appear?Signals Before Symptoms is a practical, rigorous guide to building trustworthy machine-learning systems for early-detection research. Written for researchers, engineers, clinicians, and postgraduate students, it explores meaningful signals across MRI, PET, DaTSCAN, speech, gait, wearables, handwriting, digital biomarkers, and clinical, cognitive, and genetic data.Move beyond inflated accuracy. Learn to prevent data leakage, harmonise multisite datasets, manage missing modalities, evaluate performance at real-world prevalence, test explanations, and communicate uncertainty honestly. Twelve revealing case files expose why promising models fail, while a complete worked study demonstrates the journey from research question to defensible conclusion.Featuring exercises, reporting checklists, dataset guidance, code recipes, and global perspectives on regulation, ethics, deployment, and equity, this book helps you create research that is reproducible, clinically meaningful, and built to withstand scrutiny. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798906731166
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Signals Before Symptoms : MACHINE LEARNING FOR EARLY DETECTION " Signals Before Symptoms" Early Detection of Parkinson's and Alzheimer's Disease from Imaging, Speech, Gait, and Clinical Data
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - What if the earliest signs of Parkinson's and Alzheimer's disease are already hidden in the data and machine learning can reveal them before symptoms appear Signals Before Symptoms is a practical, rigorous guide to building trustworthy machine-learning systems for early-detection research. Written for researchers, engineers, clinicians, and postgraduate students, it explores meaningful signals across MRI, PET, DaTSCAN, speech, gait, wearables, handwriting, digital biomarkers, and clinical, cognitive, and genetic data.Move beyond inflated accuracy. Learn to prevent data leakage, harmonise multisite datasets, manage missing modalities, evaluate performance at real-world prevalence, test explanations, and communicate uncertainty honestly. Twelve revealing case files expose why promising models fail, while a complete worked study demonstrates the journey from research question to defensible conclusion.Featuring exercises, reporting checklists, dataset guidance, code recipes, and global perspectives on regulation, ethics, deployment, and equity, this book helps you create research that is reproducible, clinically meaningful, and built to withstand scrutiny. N° de réf. du vendeur 9798906731166
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Paperback. Etat : new. Paperback. What if the earliest signs of Parkinson's and Alzheimer's disease are already hidden in the data and machine learning can reveal them before symptoms appear?Signals Before Symptoms is a practical, rigorous guide to building trustworthy machine-learning systems for early-detection research. Written for researchers, engineers, clinicians, and postgraduate students, it explores meaningful signals across MRI, PET, DaTSCAN, speech, gait, wearables, handwriting, digital biomarkers, and clinical, cognitive, and genetic data.Move beyond inflated accuracy. Learn to prevent data leakage, harmonise multisite datasets, manage missing modalities, evaluate performance at real-world prevalence, test explanations, and communicate uncertainty honestly. Twelve revealing case files expose why promising models fail, while a complete worked study demonstrates the journey from research question to defensible conclusion.Featuring exercises, reporting checklists, dataset guidance, code recipes, and global perspectives on regulation, ethics, deployment, and equity, this book helps you create research that is reproducible, clinically meaningful, and built to withstand scrutiny. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798906731166
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Signals Before Symptoms | MACHINE LEARNING FOR EARLY DETECTION " Signals Before Symptoms" Early Detection of Parkinson's and Alzheimer's Disease from Imaging, Speech, Gait, and Clinical Data
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Taschenbuch. Etat : Neu. Signals Before Symptoms | MACHINE LEARNING FOR EARLY DETECTION " Signals Before Symptoms" Early Detection of Parkinson's and Alzheimer's Disease from Imaging, Speech, Gait, and Clinical Data | Upendra Singh | Taschenbuch | Englisch | 2026 | Notion Press | EAN 9798906731166 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 136316980
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