Signals Before Symptoms (Paperback)
Language: English
Published by Notion Press, 2026
- Softcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
£ 25.45
Quantity: 1 available
Add to basketItem description from seller
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.…
Seller Inventory # 9798906731166
- Title
- Signals Before Symptoms (Paperback)
- Author
- Dr Upendra Singh
- Publisher
- Notion Press
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798906731166
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.
"Synopsis" may belong to another edition of this title.
AussieBookSeller
Truganina, VIC, Australia
AbeBooks seller since June 22, 2007
Shipping rates from Australia to U.S.A.
| Item | 25 to 45 business days | 8 to 14 business days |
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The Nile Group Pty Ltd
42 Apex Drive
Truganina, VIC Australia 3029
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