MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02849cam a2200301 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
EG-GiCUC |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
171001s2017 ua d f m 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
EG-GiCUC |
| Language of cataloging |
eng |
| Transcribing agency |
EG-GiCUC |
| 041 0# - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
Deposite |
| 097 ## - Thesis Degree |
|---|
| Thesis Level |
M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
|---|
| Classification number |
Cai01.20.04.M.Sc.2017.Re.R |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rehab Mahmoud Abdelraheem Khedr |
| 245 12 - TITLE STATEMENT |
|---|
| Title |
A recommender system for the rehabilitation of people with disabilities / |
| Statement of responsibility, etc. |
Rehab Mahmoud Abdelraheem Khedr ; Supervised Nashwa Elbendary |
| 246 15 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
نظام توصية لإعادة تأهيل ذوى الإعاقات |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cairo : |
| Name of publisher, distributor, etc. |
Rehab Mahmoud Abdelraheem Khedr , |
| Date of publication, distribution, etc. |
2017 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
86 Leaves : |
| Other physical details |
charts ; |
| Dimensions |
30cm |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Systems |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Recommender systems are software applications that aim to support users in their decision-making while interacting with large information spaces. Advanced recommendation models usually deal with the common challenges of enormous information (scalability) and lack of information (sparsity). The proposed recommender system uses rating prediction based on machine learning (ML) along with optimization algorithms in order to provide a solution for sparsity and scalability problems. On other hand, disabilities, especially the ones caused by spinal cord injuries (SCI), affect both people's behavior and participation in daily activities. So, people with SCI need long care, cost, and time to improve their health status. The proposed recommender system has been tested and validated via providing recommendations of the rehabilitation methods for patients with SCI. The predicted rehabilitation methods are provided via monitoring and recording the progress in patient's health status over different periods of time. Accordingly, a set of rehabilitation methods has resulted based on prediction of user ratings. The proposed recommender system is divided into four phases: preprocessing, clustering, recommendations, and prediction phases; during the preprocessing phase a SCI automated tool has been built to collect data of patients with SCI. Experimental results shows that the proposed SCI automated tool has an efficiency of 100%. Also, the rehabilitation length of stay (LoS) for patient with SCI is predicted using support vector machine; the accuracy is measured for linear and radial basis function (RBF) kernel functions, and the accuracy of linear function is totally match for training and test data, and 93.3% match for RBF kernel function |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
|---|
| Additional physical form available note |
Issued also as CD |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Rating prediction |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Recommender system |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Spinal cord injurie |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Nashwa Elbendary , |
| Relator term |
|
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| Cataloger |
Nazla |
| Reviser |
Revisor |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| Cataloger |
Samia |
| Reviser |
Cataloger |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Thesis |
