Adaptive Neuro-Fuzzy Inference System Based Smart Anesthesia Monitoring System
| dc.contributor.author | Ali Mohammed, Hojood | |
| dc.contributor.author | Mohamed Hussein, ElTahir | |
| dc.date.accessioned | 2018-08-01T17:32:01Z | |
| dc.date.available | 2018-08-01T17:32:01Z | |
| dc.date.issued | 2018-07-15 | |
| dc.description.abstract | Man has a limited ability to accurately and continuously analyze large amounts of data. In recent years, there has been a fast development in understanding observing and therapeutic information investigation utilizing choice help systems, shrewd caution observing, master systems and numerous other PC supported conventions. The fundamental objectives of this investigation are to upgrade the created demonstrative caution system for identifying basic occasions amid anesthesia and to precisely analyze a hypovolaemia occasion in anesthetized patients. The information of any subsets has the most likeness to each other what's more, the most distinction from alternate subsets. | en_US |
| dc.identifier.issn | 1858-6228 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/12371 | |
| dc.publisher | الدراسات العليا- جامعة النيلين | en_US |
| dc.title | Adaptive Neuro-Fuzzy Inference System Based Smart Anesthesia Monitoring System | en_US |
| dc.type | Thesis | en_US |