Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science
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9783030374457, 9783030374464

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Deep Learning for Haemodialysis Time Series Classification

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37446-4_5 ◽

2019 ◽

pp. 50-64

Author(s):

Giorgio Leonardi ◽

Stefania Montani ◽

Manuel Striani

Keyword(s):

Time Series ◽

Deep Learning ◽

Time Series Classification

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A Method for Goal-Oriented Guideline Modeling in PROforma and Its Preliminary Evaluation

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37446-4_2 ◽

2019 ◽

pp. 17-28

Author(s):

Mor Peleg ◽

Alexandra Kogan ◽

Samson W. Tu

Keyword(s):

Preliminary Evaluation

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A Computational Framework Towards Medical Image Explanation

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37446-4_10 ◽

2019 ◽

pp. 120-131

Author(s):

Xuwen Wang ◽

Yu Zhang ◽

Zhen Guo ◽

Jiao Li

Keyword(s):

Medical Image ◽

Computational Framework

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Differential Diagnosis of Bacterial and Viral Meningitis Using Dominance-Based Rough Set Approach

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37446-4_3 ◽

2019 ◽

pp. 29-38

Author(s):

Ewelina Gowin ◽

Jerzy Błaszczyński ◽

Roman Słowiński ◽

Jacek Wysocki ◽

Danuta Januszkiewicz-Lewandowska

Keyword(s):

Differential Diagnosis ◽

Rough Set ◽

Viral Meningitis

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Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37446-4_9 ◽

2019 ◽

pp. 108-119

Author(s):

Leon Kopitar ◽

Leona Cilar ◽

Primoz Kocbek ◽

Gregor Stiglic

Keyword(s):

Diabetes Mellitus ◽

Machine Learning ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Learning Models ◽

Machine Learning Models

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Exploring Antimicrobial Resistance Prediction Using Post-hoc Interpretable Methods

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37446-4_8 ◽

2019 ◽

pp. 93-107

Author(s):

Bernardo Cánovas-Segura ◽

Antonio Morales ◽

Antonio López Martínez-Carrasco ◽

Manuel Campos ◽

Jose M. Juarez ◽

...

Keyword(s):

Antimicrobial Resistance ◽

Resistance Prediction ◽

Post Hoc

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An Explainable Approach of Inferring Potential Medication Effects from Social Media Data

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37446-4_7 ◽

2019 ◽

pp. 82-92

Author(s):

Keyuan Jiang ◽

Tingyu Chen ◽

Liyuan Huang ◽

Ravish Gupta ◽

Ricardo A. Calix ◽

...

Keyword(s):

Social Media ◽

Social Media Data ◽

Medication Effects ◽

Media Data

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Towards Understanding ICU Treatments Using Patient Health Trajectories

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37446-4_6 ◽

2019 ◽

pp. 67-81

Author(s):

Alexander Galozy ◽

Sławomir Nowaczyk ◽

Anita Sant’Anna

Keyword(s):

Health Trajectories ◽

Patient Health

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Explainable Machine Learning for Modeling of Early Postoperative Mortality in Lung Cancer

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37446-4_13 ◽

2019 ◽

pp. 161-174

Author(s):

Katarzyna Kobylińska ◽

Tomasz Mikołajczyk ◽

Mariusz Adamek ◽

Tadeusz Orłowski ◽

Przemysław Biecek

Keyword(s):

Machine Learning ◽

Lung Cancer ◽

Postoperative Mortality

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A Practical Exercise on Re-engineering Clinical Guideline Models Using Different Representation Languages

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-030-37446-4_1 ◽

2019 ◽

pp. 3-16

Author(s):

Mar Marcos ◽

Cristina Campos ◽

Begoña Martínez-Salvador

Keyword(s):

Clinical Guideline

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Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Deep Learning for Haemodialysis Time Series Classification

A Method for Goal-Oriented Guideline Modeling in PROforma and Its Preliminary Evaluation

A Computational Framework Towards Medical Image Explanation

Differential Diagnosis of Bacterial and Viral Meningitis Using Dominance-Based Rough Set Approach

Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening

Exploring Antimicrobial Resistance Prediction Using Post-hoc Interpretable Methods

An Explainable Approach of Inferring Potential Medication Effects from Social Media Data

Towards Understanding ICU Treatments Using Patient Health Trajectories

Explainable Machine Learning for Modeling of Early Postoperative Mortality in Lung Cancer

A Practical Exercise on Re-engineering Clinical Guideline Models Using Different Representation Languages

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems - Lecture Notes in Computer Science
Latest Publications