Doctoral Degree in Engineering
With Certificate of Graduation for Doctorate Study
Gender:Female E-Mail:aafe482ec0b6cd6bdd6e1d3bae366546cfd71ea5768a6decfde82d12e136dc152f4299fff28709c3b4cc6816edf75add26c1fd807292dc97b8db25fcee3be6ae51444de1d5d28d419b74988dab9e843977fa055fb1e184a355fa93ef8929e0f1d353233089e230100b1dd372529d8a6ae6e4bb57ef0c868a9faf5680172f9d58
Email : b0b48446e9f12eeea7968b8f2e1d5817d9a696c099976fed2f983779c01f16e0dcf01585984239c8bdb3fc86931d20cda0f0c174ff1d9ba18a96bacf4adf484cf19ec6dc1a4a598c25e05b863d2f9e74bcfaad8aafc2c32e016e34ba3175c021b505ec53617d645a0c47952617675c2566c5a87df41fd56f3cf312e042ac0049
Journal:BMC Medical Research Methodology Indexed by:Journal paper Volume:20 Page Number:9 Translation or Not:no Date of Publication:2020-01-14
Pre One:Explainable machine-learning predictions for complications after pediatric congenital heart surgery
