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020 _a9781394234042
020 _a9781394234073
_qelectronic book
020 _a1394234074
_qelectronic book
020 _a9781394234066
_qelectronic book
020 _a1394234066
_qelectronic book
020 _a1394234058
020 _a9781394234059
_q(electronic bk.)
020 _z9781394234042
_qhardcover
020 _z139423404X
_qhardcover
035 _a(OCoLC)1503633296
_z(OCoLC)1502022267
035 9 _a(OCLCCM-Owned)1503633296
040 _aYDX
_beng
_erda
_cYDX
_dYDX
_dOCLCO
_dDG1
_dUKKRT
_dCLOUD
_dUKAHL
_dHOPLA
_dN$T
041 _aeng
049 _aMAIN
050 4 _aR858
_b.D47 2025
245 0 0 _aDesign and forecasting models for disease management /
_cedited by Pijush Dutta... [and 4 others].
264 1 _aHoboken, NJ :
_bJohn WIley & Sons, Inc. ;
_aBeverly, MA :
_bScrivener Publishing LLC,
_c2025.
264 4 _c©2025
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aThe book provides an essential overview of AI techniques in disease management and how these computational methods can lead to further innovations in healthcare. Design and Forecasting Models for Disease Management is a resourceful volume of 13 chapters that elaborates on computational methods and how AI techniques can aid in smart disease management. It contains several statistical and AI techniques that can be used to acquire data on many different diseases. The main objective of this book is to demonstrate how AI techniques work for early disease detection and forecasting useful information for medical experts. As such, this volume intends to serve as a resource to elicit and elaborate on possible intelligent mechanisms for helping detect early signs of diseases. Additionally, the book examines numerous machine learning and data analysis techniques in the biomedical field that are used for detecting and forecasting disease management at the cellular level. It discusses various applications of image segmentation, data analysis techniques, and hybrid machine learning techniques for illnesses, and encompasses modeling, prediction, and diagnosis of disease data. Audience Researchers, engineers and graduate students in the fields of computational biology, information technology, bioinformatics, and epidemiology.
588 _aDescription based on online resource; title from digital title page (viewed on March 18, 2025).
650 0 _aMedical informatics.
_0http://id.loc.gov/authorities/subjects/sh89005069
650 6 _aMédecine
_xInformatique.
655 0 _aElectronic books.
776 0 8 _iPrint version:
_z139423404X
_z9781394234042
_w(OCoLC)1417147322
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394234073
_yFull text is available at Wiley Online Library. Click here to view.
942 _2ddc
_cER