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From ISLAB/CAISR
Awais Ashfaq
ApplicationArea Healthcare +
FamilyName Ashfaq  +
GivenName Awais  +
Img awais.jpg  +
Office E505  +
Person Awais Ashfaq +
Project HIPATCH +
Ptitle M. Sc.  +
Role PhD Student  +
SubjectArea Machine Learning +
Has queryThis property is a special property in this wiki. Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq + , Awais Ashfaq +
Categories Person  + , Only pages in namespace "Category" are allowed here.
Modification dateThis property is a special property in this wiki. 9 February 2020 14:51:33  +
Page has default formThis property is a special property in this wiki. CreatePerson  +
EmailThis property is a special property in this wiki. awais.ashfaq@hh.se  +
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Publications:A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images + , Publications:Avoiding Improper Treatment of Dementia Patients by Care Robots + , Publications:Avoiding improper treatment of dementia patients by care robots + , Publications:Data Profile : Regional Healthcare Information Platform in Halland, Sweden + , Publications:Data Profile : Regional healthcare information platform in Halland, Sweden, a dedicated environment for healthcare research + , Publications:Data resource profile : Regional healthcare information platform in Halland, Sweden, a dedicated environment for healthcare research + , Publications:Machine learning in healthcare - a system's perspective + , Publications:Predicting clinical outcomes via machine learning on electronic health records + , Publications:Readmission prediction using deep learning on electronic health records + , Publications:Training machine learning models to predict 30-day mortality in patients discharged from the emergency department : a retrospective, population based registry study + Author
Awais Ashfaq + Person
A decision support system for reducing false alarms in ICU + , Biases in electronic health records + , Intelligible patient representation for outcome prediction of congestive heart failure patients + Supervisors
 

 

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