Chapter: Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Devices

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xx
Front Matter		1-1
Explainable Decision Support Using Task Network Models in Notation3: Computerizing Lipid Management Clinical Guidelines as Interactive Task Networks	William Van Woensel; Samina Abidi; Karthik Tennankore; George Worthen; Syed Sibte Raza Abidi	3-13
Towards an AI Planning-Based Pipeline for the Management of Multimorbid Patients	Malvika Rao; Martin Michalowski; Szymon Wilk; Wojtek Michalowski; Amanda Coles; Marc Carrier	14-23
A Knowledge Graph Completion Method Applied to Literature-Based Discovery for Predicting Missing Links Targeting Cancer Drug Repurposing	Ali Daowd; Samina Abidi; Syed Sibte Raza Abidi	24-34
An Ontology to Support Automatic Drug Dose Titration	David Riaño; José-Ramon Alonso; Špela Pečnik; Aida Kamišalić	35-46
Ontological Representation of Causal Relations for a Deep Understanding of Associations Between Variables in Epidemiology	Thibaut Pressat Laffouilhère; Julien Grosjean; Jean Pinson; Stéfan J. Darmoni; Emilie Leveque; Emilie Lanoy et al.	47-56
Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-Term Behavior Change	William Van Woensel; Floriano Scioscia; Giuseppe Loseto; Oshani Seneviratne; Evan Patton; Samina Abidi et al.	57-62
Front Matter		63-63
Assessing Knee Osteoarthritis Severity and Biomechanical Changes After Total Knee Arthroplasty Using Self-organizing Maps	Kathryn Young-Shand; Patrice Roy; Michael Dunbar; Syed Sibte Raza Abidi; Janie Wilson	65-75
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization	Aleksandr Nesterov; Bulat Ibragimov; Dmitriy Umerenkov; Artem Shelmanov; Galina Zubkova; Vladimir Kokh	76-87
Extracting Surrogate Decision Trees from Black-Box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival	Jaber Rad; Karthik K. Tennankore; Amanda Vinson; Syed Sibte Raza Abidi	88-98
Recurrence and Self-attention vs the Transformer for Time-Series Classification: A Comparative Study	Alexander Katrompas; Theodoros Ntakouris; Vangelis Metsis	99-109
Integrating Graph Convolutional Networks (GCNNs) and Long Short-Term Memory (LSTM) for Efficient Diagnosis of Autism	Kashaf Masood; Rasha Kashef	110-121
Hierarchical Deep Multi-task Learning for Classification of Patient Diagnoses	Salim Malakouti; Milos Hauskrecht	122-132
TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network	Xiaomin Li; Vangelis Metsis; Huangyingrui Wang; Anne Hee Hiong Ngu	133-143
Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Devices	Miguel Matey-Sanz; Alberto González-Pérez; Sven Casteleyn; Carlos Granell	144-154
Learning to Adapt Dynamic Clinical Event Sequences with Residual Mixture of Experts	Jeong Min Lee; Milos Hauskrecht	155-166
Improving Prediction Models’ Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period	Tomer Hermelin; Pierre Singer; Nadav Rappoport	167-177
DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs	Mei Ling Fang; Devendra Singh Dhami; Kristian Kersting	178-188
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