Explainable machine learning model for predicting the severity level of chronic kidney disease

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dc.contributor.authorToyba Mohammed
dc.date.accessioned2024-12-24T11:27:26Z
dc.date.available2024-12-24T11:27:26Z
dc.date.issued2024
dc.descriptionThis cross-sectional survey was conducted in Felegehiwot hospital, Kidanemihret Speciality Clinic, and Minilik II Hospital and encompassed data from 2012 up to 2016 data collection sources to gather necessary data (1,325) for prediction. Python software was used for analysis and prediction. We use three steps to deal with missing values in our dataset. for attributes like age, blood pressure, chloride, sodium, potassium, blood urea nitrogen, creatinine, white blood cell count, red blood cell count, hemoglobin, mean cell volume, and platelets.
dc.identifier.urihttps://rdmc.aphi.gov.et/handle/123456789/109
dc.language.isoen
dc.titleExplainable machine learning model for predicting the severity level of chronic kidney disease
dc.typeDataset
dspace.entity.type
local.PeriodOfTime2024/04/01 up to 2024/06/30
local.access.levelAccessible up on reasonable request.
local.contributor.emailtoybamdwww@gmail.com
local.contributor.organizationBahir Dar University
local.contributor.phone+0000000000
local.contributor.unitInstitute of Technology
local.coverage.ageYes
local.coverage.geographicRegional
local.coverage.sexYes
local.criteria.exclusionThe incomplete data were excluded.
local.criteria.inclusionAll patients chart with complete data were included
local.datacollection.ended2024-06-30
local.datacollection.started2024-04-01
local.datatypeSurvey
local.date.dissemination2024-10-15
local.date.finalization2024-09
local.disseminatedbyBahir Dar University
local.formatExcel
local.funderNA
local.has.geospatialNo
local.has.microdataYes
local.idAPHI-RDMC-056
local.is.externalYes
local.keywordsChronic Kidney Disease, Explainable Machine Learning, Black-box model, Severity level
local.objectiveThis study aimed to examine the explainable machine learning model for predicting the severity level of chronic kidney disease
local.publication.statusNot published
local.response.rate100%
local.samplingCensus
local.sampling.size1,325
local.study.designHealth-facility based retrospective cross-sectional study
local.study.populationAll documents narrating the CKD in the Felegehiwot Hospital, Kidanemihret Speciality Clinic, and Minilik II Hospital between 2012 up to 2016.
local.subject.areaHealth and health related
local.toolsIn-depth tools adapted

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