Artificial Intelligence in Medicine - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783030216412, 9783030216429

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Correction to: The Minimum Sampling Rate and Sampling Duration When Applying Geolocation Data Technology to Human Activity Monitoring

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21642-9_53 ◽

2020 ◽

pp. C1-C1

Author(s):

Yan Zeng ◽

Paolo Fraccaro ◽

Niels Peek

Keyword(s):

Human Activity ◽

Sampling Rate ◽

Activity Monitoring ◽

Sampling Duration

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Automatic Image-Derived Estimation of the Arterial Whole-Blood Input Function from Dynamic Cerebral PET with $$^{18}$$F-Choline

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21642-9_43 ◽

2019 ◽

pp. 337-346

Author(s):

Carlos González ◽

Pedro Bibiloni ◽

Manuel González-Hidalgo ◽

Arnau Mir ◽

Sebastià Rubí

Keyword(s):

Whole Blood ◽

Input Function

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Towards the Economic Evaluation of Two Mini-invasive Surgical Techniques for Head&Neck Cancer: A Customizable Model for Different Populations

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21642-9_21 ◽

2019 ◽

pp. 155-159

Author(s):

Elisa Salvi ◽

Enea Parimbelli ◽

Lucia Sacchi ◽

Silvana Quaglini ◽

Erika Maggi ◽

...

Keyword(s):

Economic Evaluation ◽

Neck Cancer ◽

Surgical Techniques ◽

Head Neck Cancer ◽

Different Populations ◽

Head Neck

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Assessing the Effectiveness of Sequences of Treatments Using Sequential Patterns

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21642-9_18 ◽

2019 ◽

pp. 131-135

Author(s):

Maciej Piernik ◽

Joanna Solomiewicz ◽

Arkadiusz Jachnik

Keyword(s):

Sequential Patterns

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AI in Healthcare: Ethical and Privacy Challenges

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21642-9_2 ◽

2019 ◽

pp. 7-10 ◽

Cited By ~ 3

Author(s):

Ivana Bartoletti

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Interpretable Patient Subgrouping Using Trace-Based Clustering

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21642-9_33 ◽

2019 ◽

pp. 269-274

Author(s):

Antonio Lopez Martinez-Carrasco ◽

Jose M. Juarez ◽

Manuel Campos ◽

Antonio Morales ◽

Francisco Palacios ◽

...

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On Predicting the Outcomes of Chemotherapy Treatments in Breast Cancer

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21642-9_24 ◽

2019 ◽

pp. 180-190

Author(s):

Agastya Silvina ◽

Juliana Bowles ◽

Peter Hall

Keyword(s):

Breast Cancer

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Connection Between the Parkinson’s Disease Subtypes and Patients’ Symptoms Progression

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21642-9_32 ◽

2019 ◽

pp. 263-268

Author(s):

Anita Valmarska ◽

Dragana Miljkovic ◽

Marko Robnik–Šikonja ◽

Nada Lavrač

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Disease Subtypes

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Mammogram Classification with Ordered Loss

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21642-9_10 ◽

2019 ◽

pp. 67-76

Author(s):

Rami Ben-Ari ◽

Yoel Shoshan ◽

Tal Tlusty

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Predicting Patient’s Diagnoses and Diagnostic Categories from Clinical-Events in EHR Data

Artificial Intelligence in Medicine - Lecture Notes in Computer Science ◽

10.1007/978-3-030-21642-9_17 ◽

2019 ◽

pp. 125-130 ◽

Cited By ~ 2

Author(s):

Seyedsalim Malakouti ◽

Milos Hauskrecht

Keyword(s):

Diagnostic Categories ◽

Clinical Events

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Artificial Intelligence in Medicine - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: The Minimum Sampling Rate and Sampling Duration When Applying Geolocation Data Technology to Human Activity Monitoring

Automatic Image-Derived Estimation of the Arterial Whole-Blood Input Function from Dynamic Cerebral PET with $$^{18}$$F-Choline

Towards the Economic Evaluation of Two Mini-invasive Surgical Techniques for Head&Neck Cancer: A Customizable Model for Different Populations

Assessing the Effectiveness of Sequences of Treatments Using Sequential Patterns

AI in Healthcare: Ethical and Privacy Challenges

Interpretable Patient Subgrouping Using Trace-Based Clustering

On Predicting the Outcomes of Chemotherapy Treatments in Breast Cancer

Connection Between the Parkinson’s Disease Subtypes and Patients’ Symptoms Progression

Mammogram Classification with Ordered Loss

Predicting Patient’s Diagnoses and Diagnostic Categories from Clinical-Events in EHR Data

Artificial Intelligence in Medicine - Lecture Notes in Computer Science
Latest Publications