Disease Recognition using Machine Learning Techniques

Language: English

Published by LAP LAMBERT Academic Publishing Jun 2016, 2016

3659897272 / 9783659897276

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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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Softcover

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This item is printed on demand - Print on Demand Titel. Neuware -Healthcare is very important aspect in everyone¿s life. Elder people are usually dependent on medicines and continuous health support from outside environment for their health management. The bones of people in age group 65 and above have become so weak that they are not able to walk within their homes, so, they prefer to stay alone rather than being shifted to old age homes or nursing care centers as it gives a feeling of independence to them. To prevent the late recognition and treatment of health problems, systems for automatic health monitoring, diagnose and care have been proposed. Once the system identifies a problem, the physician is notified with the details of the problem diagnosed. The movement pattern of people is acquired using a motion capture system and then classified into: Parkinson disease, Back pain, Normal, Hemiplegia and leg pain. The various classification techniques are applied on the dataset and the clustering is done. Validity of the clustering algorithm is done using CVAP. The classification accuracies of various classification techniques are compared and tested.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.…

Seller Inventory # 9783659897276

Title
Disease Recognition using Machine Learning Techniques
Author
Garima Bhatia
Publisher
LAP LAMBERT Academic Publishing Jun 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659897272
ISBN 13
9783659897276
Item weight
137 grams
Dimensions
220x150x6 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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Impressum Thorsten Retsch Buchversand Mimpf2000 Oberölschnitz 16 95517 Emtmannsberg Deutschland Telefon: 09209-2023188 Email: mimpf2000@online.de USt-ID-Nr.: DE 235096871 Wir führen gebrauchte Bücher aus allen Sparten der Literatur

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