Computational intelligence approach for classification and risk quantification of metabolic syndrome /
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Main Author: | |
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Format: | Thesis Book |
Language: | English |
Published: |
2019.
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Subjects: | |
Online Access: | http://studentsrepo.um.edu.my/14653/ |
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LEADER | 01391nam a2200337 i 4500 | ||
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001 | u1158240 | ||
003 | SIRSI | ||
005 | 202209131602 | ||
008 | 220913s2019 my a m 000 0 eng | ||
040 | |a UMM |d AUM |e rda | ||
090 | |a QA76 |b UMP 2019 Kak | ||
100 | 1 | |a Kakudi, Habeebah Adamu, |e author. | |
245 | 1 | 0 | |a Computational intelligence approach for classification and risk quantification of metabolic syndrome / |c Habeebah Adamu Kakudi. |
264 | 1 | |c 2019. | |
300 | |a xix, 162 leaves : |b color illustrations ; |c 30 cm | ||
336 | |a text |2 rdacontent | ||
337 | |a unmediated |2 rdamedia | ||
337 | |a computer |2 rdamedia | ||
338 | |a volume |2 rdacarrier | ||
338 | |a computer disc |2 rdacarrier | ||
502 | |b Ph.D. |c Jabatan Kepintaran Buatan, Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya |d 2019. | ||
504 | |a Bibiliography: leaves 134-159. | ||
530 | |a Also issued CD. | ||
650 | 0 | |a Metabolic syndrome. | |
650 | 0 | |a Computational intelligence. | |
710 | 2 | |a Universiti Malaya. |b Jabatan Kepintaran Buatan, |e degree granting institution. | |
856 | 4 | 1 | |u http://studentsrepo.um.edu.my/14653/ |
900 | |a US | ||
596 | |a 1 25 | ||
999 | |a QA76 UMP 2019 KAK |w LC |c 1 |i A517628840 |f 22/11/2022 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 30/9/2022 |1 STEM | ||
999 | |a QA76 UMP 2019 KAK |w LC |c 1 |i A517628836 |f 20/12/2022 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 20/12/2022 |1 STEM |o .STAFF. MST-CD2851 |