Jyotishman Pathak

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Daryl J. Kor

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Publications

2017
[c86]
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Che Ngufor, Dennis H. Murphree, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor:
Multitask LS-Svm for Predicting Bleeding and Re-operation Due to Bleeding. ICHI 2017: 56-65
2016
[c82]
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  - electronic edition @ amia.org (archived)
  - no references & citations available
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Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar Madde, Jyotishman Pathak, Rickey E. Carter, Daryl J. Kor:
Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion. AMIA 2016
2015
[c79]
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Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak:
A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes. AIME 2015: 287-297
[c71]
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Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Daryl J. Kor, Jyotishman Pathak:
Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes. DSAA 2015: 1-8
[c70]
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Dennis Murphree, Che Ngufor, Sudhindra Upadhyaya, Nageswar Madde, Leanne Clifford, Daryl J. Kor, Jyotishman Pathak:
Ensemble learning approaches to predicting complications of blood transfusion. EMBC 2015: 7222-7225
[c68]
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Dennis H. Murphree, Leanne Clifford, Yaxiong Lin, Nagesh Madde, Che Ngufor, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor:
Predicting Adverse Reactions to Blood Transfusion. ICHI 2015: 82-89
[c67]
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Dennis H. Murphree, Leanne Clifford, Yaxiong Lin, Nagesh Madde, Che Ngufor, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor:
A Clinical Decision Support System for Preventing Adverse Reactions to Blood Transfusion. ICHI 2015: 100-104
[c65]
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Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak:
Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach. MedInfo 2015: 721-725

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