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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Siti Norul Huda Sheikh Abdullah, Prof. Madya Dr. | - |
dc.contributor.author | Muhammad Uzair Sahrin (P83911) | - |
dc.date.accessioned | 2023-10-05T06:42:32Z | - |
dc.date.available | 2023-10-05T06:42:32Z | - |
dc.date.issued | 2017-01-11 | - |
dc.identifier.other | ukmvital:122007 | - |
dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/475862 | - |
dc.description | lumlah pcnghidap kanscr prostat mcrupakan keenam tertinggi di dunia dan merupakan pcnyakit yang rumit untuk dikenal pasti. Sehingga kini. masih tiada ka~-dah yang paling mudah dan I'ntas untuk di alP'0~is pcnyakit ini. Kebiasaannya kanser prostat didiagnosis Sccara manual oleh pakar berdasarkan pcngdahuan dan pcngalaman pcrubatan mereka. Sckumpulan pakar akan rnembincangkan status pcnyakit dalam scsi Risiko Penstrataan setelah melakukan beberapa siri ujian tennasuk pcmeriksaan flZikal . darah. biopsi dan imej-imej visual. Walaubagairnana pun. kcputusan diagnosis imcj visual tcrdcdah h". | - |
dc.language.iso | may | - |
dc.publisher | UKM, Bangi | - |
dc.relation | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | - |
dc.rights | UKM | - |
dc.subject | Expert systems (Computer science) | - |
dc.subject | Prostate -- Diseases -- Diagnosis | - |
dc.subject | Prostate -- Cancer | - |
dc.subject | Universiti Kebangsaan Malaysia -- Dissertations | - |
dc.subject | Dissertations, Academic -- Malaysia | - |
dc.title | Petua pengeluaran dan pokok rawak untuk automasi diagnosis bersepadu kanser prostat | - |
dc.type | Theses | - |
dc.format.pages | 166 | - |
dc.identifier.callno | QA76.76.E95M8494 2018 3 tesis | - |
dc.identifier.barcode | 005525(2021)(PL2) | - |
Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat |
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