Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare

Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer’s Disease Diagnosis

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare ◽

10.1007/978-3-030-70569-5_18 ◽

2021 ◽

pp. 285-299

Author(s):

Louise Bloch ◽

Christoph M. Friedrich

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Random Forest ◽

Disease Diagnosis ◽

Bayesian Optimization ◽

Early Alzheimer’S Disease ◽

Alzheimer’S Disease Diagnosis

Understanding E-Mental Health for People with Depression: An Evaluation Study

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare ◽

10.1007/978-3-030-70569-5_3 ◽

2021 ◽

pp. 34-51

Author(s):

Kim Janine Blankenhagel ◽

Johannes Werner ◽

Gwendolyn Mayer ◽

Jobst-Hendrik Schultz ◽

Rüdiger Zarnekow

Keyword(s):

Mental Health ◽

Evaluation Study

Towards Mobile-Based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of Tinnitus

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare ◽

10.1007/978-3-030-70569-5_5 ◽

2021 ◽

pp. 67-86

Author(s):

Muntazir Mehdi ◽

Lukas Hennig ◽

Florian Diemer ◽

Albi Dode ◽

Rüdiger Pryss ◽

...

Bayesian Inference Federated Learning for Heart Rate Prediction

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare ◽

10.1007/978-3-030-70569-5_8 ◽

2021 ◽

pp. 116-130

Author(s):

Lei Fang ◽

Xiaoli Liu ◽

Xiang Su ◽

Juan Ye ◽

Simon Dobson ◽

...

Keyword(s):

Heart Rate ◽

Bayesian Inference ◽

Rate Prediction

Patient-Independent Schizophrenia Relapse Prediction Using Mobile Sensor Based Daily Behavioral Rhythm Changes

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare ◽

10.1007/978-3-030-70569-5_2 ◽

2021 ◽

pp. 18-33

Author(s):

Bishal Lamichhane ◽

Dror Ben-Zeev ◽

Andrew Campbell ◽

Tanzeem Choudhury ◽

Marta Hauser ◽

...

Keyword(s):

Mobile Sensor ◽

Behavioral Rhythm ◽

Relapse Prediction

A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare ◽

10.1007/978-3-030-70569-5_7 ◽

2021 ◽

pp. 104-115

Author(s):

Ghanashyama Prabhu ◽

Noel E. O’Connor ◽

Kieran Moran

Keyword(s):

Time Series ◽

Deep Learning ◽

Time Series Data ◽

Learning Model ◽

Series Data ◽

Wearable Sensor ◽

Deep Learning Model

Improving Patient Throughput by Streamlining the Surgical Care-Pathway Process

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare ◽

10.1007/978-3-030-70569-5_12 ◽

2021 ◽

pp. 186-207

Author(s):

David Mc Mahon ◽

Joseph Walsh ◽

Eilish Broderick ◽

Juncal Nogales

Keyword(s):

Care Pathway ◽

Surgical Care ◽

Patient Throughput

Expanding eVision’s Granularity of Influenza Forecasting

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare ◽

10.1007/978-3-030-70569-5_14 ◽

2021 ◽

pp. 227-243

Author(s):

Navid Shaghaghi ◽

Andres Calle ◽

George Kouretas ◽

Supriya Karishetti ◽

Tanmay Wagh

Deep-Learning-Based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare ◽

10.1007/978-3-030-70569-5_20 ◽

2021 ◽

pp. 315-322

Author(s):

Marja Fleitmann ◽

Hristina Uzunova ◽

Andreas Martin Stroth ◽

Jan Gerlach ◽

Alexander Fürschke ◽

...

Keyword(s):

Deep Learning ◽

Patient Specific ◽

Dose Optimization ◽

Clinical Parameters ◽

Feature Encoding

A Proposal of Clinical Decision Support System Using Ensemble Learning for Coronary Artery Disease Diagnosis

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare ◽

10.1007/978-3-030-70569-5_19 ◽

2021 ◽

pp. 300-314

Author(s):

Rawia Sammout ◽

Kais Ben Salah ◽

Khaled Ghedira ◽

Rania Abdelhedi ◽

Najla Kharrat

Keyword(s):

Coronary Artery Disease ◽

Decision Support ◽

Coronary Artery ◽

Clinical Decision Support ◽

Support System ◽

Clinical Decision Support System ◽

Clinical Decision ◽

Disease Diagnosis ◽

Artery Disease ◽

Coronary Artery Disease Diagnosis

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer’s Disease Diagnosis

Understanding E-Mental Health for People with Depression: An Evaluation Study

Towards Mobile-Based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of Tinnitus

Bayesian Inference Federated Learning for Heart Rate Prediction

Patient-Independent Schizophrenia Relapse Prediction Using Mobile Sensor Based Daily Behavioral Rhythm Changes

A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor

Improving Patient Throughput by Streamlining the Surgical Care-Pathway Process

Expanding eVision’s Granularity of Influenza Forecasting

Deep-Learning-Based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization

A Proposal of Clinical Decision Support System Using Ensemble Learning for Coronary Artery Disease Diagnosis

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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and HealthcareLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer’s Disease Diagnosis

Understanding E-Mental Health for People with Depression: An Evaluation Study

Towards Mobile-Based Preprocessing Pipeline for Electroencephalography (EEG) Analyses: The Case of Tinnitus

Bayesian Inference Federated Learning for Heart Rate Prediction

Patient-Independent Schizophrenia Relapse Prediction Using Mobile Sensor Based Daily Behavioral Rhythm Changes

A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor

Improving Patient Throughput by Streamlining the Surgical Care-Pathway Process

Expanding eVision’s Granularity of Influenza Forecasting

Deep-Learning-Based Feature Encoding of Clinical Parameters for Patient Specific CTA Dose Optimization

A Proposal of Clinical Decision Support System Using Ensemble Learning for Coronary Artery Disease Diagnosis

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Wireless Mobile Communication and Healthcare
Latest Publications