A hyperaldosteronism subtypes predictive model using ensemble learning.
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| Title: | A hyperaldosteronism subtypes predictive model using ensemble learning. |
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| Authors: | Karashima, Shigehiro1 (AUTHOR), Kawakami, Masaki2 (AUTHOR), Nambo, Hidetaka2 (AUTHOR), Kometani, Mitsuhiro3 (AUTHOR), Kurihara, Isao4,5 (AUTHOR), Ichijo, Takamasa6 (AUTHOR), Katabami, Takuyuki7 (AUTHOR), Tsuiki, Mika8 (AUTHOR), Wada, Norio9 (AUTHOR), Oki, Kenji10 (AUTHOR), Ogawa, Yoshihiro11 (AUTHOR), Okamoto, Ryuji12 (AUTHOR), Tamura, Kouichi13,14 (AUTHOR), Inagaki, Nobuya15 (AUTHOR), Yoshimoto, Takanobu16 (AUTHOR), Kobayashi, Hiroki17 (AUTHOR), Kakutani, Miki18 (AUTHOR), Fujita, Megumi19 (AUTHOR), Izawa, Shoichiro20 (AUTHOR), Suwa, Tetsuya21 (AUTHOR) |
| Source: | Scientific Reports. 2/21/2023, Vol. 13 Issue 1, p1-11. 11p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 162013915 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A hyperaldosteronism subtypes predictive model using ensemble learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Karashima%2C+Shigehiro%22">Karashima, Shigehiro</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kawakami%2C+Masaki%22">Kawakami, Masaki</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nambo%2C+Hidetaka%22">Nambo, Hidetaka</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kometani%2C+Mitsuhiro%22">Kometani, Mitsuhiro</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kurihara%2C+Isao%22">Kurihara, Isao</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ichijo%2C+Takamasa%22">Ichijo, Takamasa</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Katabami%2C+Takuyuki%22">Katabami, Takuyuki</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tsuiki%2C+Mika%22">Tsuiki, Mika</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wada%2C+Norio%22">Wada, Norio</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Oki%2C+Kenji%22">Oki, Kenji</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ogawa%2C+Yoshihiro%22">Ogawa, Yoshihiro</searchLink><relatesTo>11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Okamoto%2C+Ryuji%22">Okamoto, Ryuji</searchLink><relatesTo>12</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tamura%2C+Kouichi%22">Tamura, Kouichi</searchLink><relatesTo>13,14</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Inagaki%2C+Nobuya%22">Inagaki, Nobuya</searchLink><relatesTo>15</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yoshimoto%2C+Takanobu%22">Yoshimoto, Takanobu</searchLink><relatesTo>16</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kobayashi%2C+Hiroki%22">Kobayashi, Hiroki</searchLink><relatesTo>17</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kakutani%2C+Miki%22">Kakutani, Miki</searchLink><relatesTo>18</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fujita%2C+Megumi%22">Fujita, Megumi</searchLink><relatesTo>19</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Izawa%2C+Shoichiro%22">Izawa, Shoichiro</searchLink><relatesTo>20</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Suwa%2C+Tetsuya%22">Suwa, Tetsuya</searchLink><relatesTo>21</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 2/21/2023, Vol. 13 Issue 1, p1-11. 11p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=162013915 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-023-29653-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Titles: – TitleFull: A hyperaldosteronism subtypes predictive model using ensemble learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Karashima, Shigehiro – PersonEntity: Name: NameFull: Kawakami, Masaki – PersonEntity: Name: NameFull: Nambo, Hidetaka – PersonEntity: Name: NameFull: Kometani, Mitsuhiro – PersonEntity: Name: NameFull: Kurihara, Isao – PersonEntity: Name: NameFull: Ichijo, Takamasa – PersonEntity: Name: NameFull: Katabami, Takuyuki – PersonEntity: Name: NameFull: Tsuiki, Mika – PersonEntity: Name: NameFull: Wada, Norio – PersonEntity: Name: NameFull: Oki, Kenji – PersonEntity: Name: NameFull: Ogawa, Yoshihiro – PersonEntity: Name: NameFull: Okamoto, Ryuji – PersonEntity: Name: NameFull: Tamura, Kouichi – PersonEntity: Name: NameFull: Inagaki, Nobuya – PersonEntity: Name: NameFull: Yoshimoto, Takanobu – PersonEntity: Name: NameFull: Kobayashi, Hiroki – PersonEntity: Name: NameFull: Kakutani, Miki – PersonEntity: Name: NameFull: Fujita, Megumi – PersonEntity: Name: NameFull: Izawa, Shoichiro – PersonEntity: Name: NameFull: Suwa, Tetsuya IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 02 Text: 2/21/2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 13 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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