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dc.contributor.authorWu, X
dc.contributor.authorKhorshidi, HA
dc.contributor.authorAickelin, U
dc.contributor.authorEdib, Z
dc.contributor.authorPeate, M
dc.contributor.editorReddy, S
dc.date.accessioned2021-01-27T00:13:04Z
dc.date.available2021-01-27T00:13:04Z
dc.date.issued2020
dc.identifier.citationWu, X., Khorshidi, H. A., Aickelin, U., Edib, Z. & Peate, M. (2020). Transfer Learning to Enhance Amenorrhea Status Prediction in Cancer and Fertility Data with Missing Values. Reddy, S (Ed.). Artificial Intelligence: Applications in Healthcare Delivery, (1), pp.233-260. Productivity Press (Taylor & Francis).
dc.identifier.isbn9780429317415
dc.identifier.urihttp://hdl.handle.net/11343/258839
dc.publisherProductivity Press (Taylor & Francis)
dc.titleTransfer Learning to Enhance Amenorrhea Status Prediction in Cancer and Fertility Data with Missing Values
dc.typeChapter
dc.identifier.doi10.4324/9780429317415-13
melbourne.affiliation.departmentComputing and Information Systems
melbourne.affiliation.departmentObstetrics and Gynaecology
melbourne.affiliation.facultyEngineering and Information Technology
melbourne.affiliation.facultyMedicine, Dentistry & Health Sciences
melbourne.source.titleArtificial Intelligence: Applications in Healthcare Delivery
melbourne.source.pages233-260
melbourne.elementsid1491373
pubs.edition1
melbourne.internal.embargodate2022-06-03
melbourne.contributor.authorAickelin, Uwe
melbourne.contributor.authorPeate, Michelle
melbourne.contributor.authorEdib, Zobaida
melbourne.contributor.authorAkbarzadeh Khorshidi, Hadi
melbourne.contributor.authorWu, Xuetong
melbourne.accessrightsThis item is embargoed and will be available on 2022-06-03


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