Table of Contents

• Common Misconceptions and Future Directions for AI in Medicine: A Physician-Data Scientist PerspectiveAnthony Chang. 3-6 [doi]
• AI in Healthcare: Ethical and Privacy ChallengesIvana Bartoletti. 7-10 [doi]
• Recent Context-Aware LSTM for Clinical Event Time-Series PredictionJeong Min Lee, Milos Hauskrecht. 13-23 [doi]
• Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence ClassificationYing-Feng Hsu, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura. 24-30 [doi]
• Fully Interactive Lungs Auscultation with AI Enabled Digital StethoscopeTomasz Grzywalski, Riccardo Belluzzo, Mateusz Piecuch, Marcin Szajek, Anna Breborowicz, Anna Pastusiak, Honorata Hafke-Dys, Jedrzej Kocinski. 31-35 [doi]
• An Automated Fall Detection System Using Recurrent Neural NetworksFrancisco Luna-Perejon, Javier Civit-Masot, Isabel Amaya-Rodriguez, Lourdes Duran-Lopez, Juan Pedro Dominguez-Morales, Antón Civit Balcells, Alejandro Linares-Barranco. 36-41 [doi]
• A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant ClassificationGiovanna Nicora, Simone Marini, Ivan Limongelli, Ettore Rizzo, Stefano Montoli, Francesca Floriana Tricomi, Riccardo Bellazzi. 42-46 [doi]
• ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG IdentificationSubhrajit Roy, Isabell Kiral-Kornek, Stefan Harrer. 47-56 [doi]
• Convolutional Recurrent Neural Network for Bubble Detection in a Portable Continuous Bladder Irrigation MonitorXiaoying Tan, Gerd Reis, Didier Stricker. 57-66 [doi]
• Mammogram Classification with Ordered LossRami Ben-Ari, Yoel Shoshan, Tal Tlusty. 67-76 [doi]
• Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big CitiesDaniele Pala, John H. Holmes, José A. Pagán, Enea Parimbelli, Marica Teresa Rocca, Vittorio Casella, Riccardo Bellazzi. 79-83 [doi]
• Towards Health 4.0: e-Hospital Proposal Based Industry 4.0 and Artificial Intelligence ConceptsCamilo Cáceres, João Maurício Rosário, Dario Amaya. 84-89 [doi]
• MitPlan: A Planning Approach to Mitigating Concurrently Applied Clinical Practice GuidelinesMartin Michalowski, Szymon Wilk, Wojtek Michalowski, Marc Carrier. 93-103 [doi]
• Automatic Alignment of Surgical Videos Using Kinematic DataHassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller. 104-113 [doi]
• A Rule-Based Expert System for Automatic Implementation of Somatic Variant Clinical Interpretation GuidelinesGiovanna Nicora, Ivan Limongelli, Riccardo Cova, Matteo Giovanni Della Porta, Luca Malcovati, Mario Cazzola, Riccardo Bellazzi. 114-119 [doi]
• Considering Temporal Preferences and Probabilities in Guideline Interaction AnalysisPaolo Terenziani, Antonella Andolina. 120-124 [doi]
• Predicting Patient's Diagnoses and Diagnostic Categories from Clinical-Events in EHR DataSeyedsalim Malakouti, Milos Hauskrecht. 125-130 [doi]
• Assessing the Effectiveness of Sequences of Treatments Using Sequential PatternsMaciej Piernik, Joanna Solomiewicz, Arkadiusz Jachnik. 131-135 [doi]
• Bayesian Network vs. Cox's Proportional Hazard Model of PAH Risk: A ComparisonJidapa Kraisangka, Marek J. Druzdzel, Lisa C. Lohmueller, Manreet K. Kanwar, James F. Antaki, Raymond L. Benza. 139-149 [doi]
• Pursuing Optimal Prediction of Discharge Time in ICUs with Machine Learning MethodsDavid Cuadrado, David Riaño, Josep Gómez, María Bodí, Gonzalo Sirgo, Federico Esteban, Rafael García, Alejandro Rodríguez. 150-154 [doi]
• Towards the Economic Evaluation of Two Mini-invasive Surgical Techniques for Head&Neck Cancer: A Customizable Model for Different PopulationsElisa Salvi, Enea Parimbelli, Lucia Sacchi, Silvana Quaglini, Erika Maggi, Lorry Duchoud, Gian Luca Armas, John De Almeida, Christian Simon. 155-159 [doi]
• Gated Hidden Markov Models for Early Prediction of Outcome of Internet-Based Cognitive Behavioral TherapyNegar Safinianaini, Henrik Boström, Viktor Kaldo. 160-169 [doi]
• A Data-Driven Exploration of Hypotheses on Disease DynamicsMarcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Joost G. E. Janzing. 170-179 [doi]
• On Predicting the Outcomes of Chemotherapy Treatments in Breast CancerAgastya Silvina, Juliana Bowles, Peter Hall. 180-190 [doi]
• External Validation of a "Black-Box" Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences?Harry Freitas Da Cruz, Boris Pfahringer, Frederic Schneider, Alexander Meyer, Matthieu-P. Schapranow. 191-201 [doi]
• Classifying Small Volumes of Tissue for Real-Time Monitoring Radiofrequency AblationEmre Besler, Yearnchee Curtis Wang, Terence Chan, Alan Varteres Sahakian. 205-215 [doi]
• Mobile Indoor Localization with Bluetooth Beacons in a Pediatric Emergency Department Using Clustering, Rule-Based Classification and High-Level HeuristicsPatrice C. Roy, William Van Woensel, Andrew Wilcox, Syed Sibte Raza Abidi. 216-226 [doi]
• NONCADO: A System to Prevent Falls by Encouraging Healthy Habits in Elderly PeopleElisa Salvi, Silvia Panzarasa, Riccardo Bagarotti, Michela Picardi, Rosangela Boninsegna, Irma Sterpi, Massimo Corbo, Giordano Lanzola, Silvana Quaglini, Lucia Sacchi. 227-232 [doi]
• The Minimum Sampling Rate and Sampling Duration When Applying Geolocation Data Technology to Human Activity MonitoringYan Zheng, Paolo Fraccaro, Niels Peek. 233-238 [doi]
• AI-Driven Pathology Laboratory Utilization Management via Data- and Knowledge-Based AnalyticsSyed Sibte Raza Abidi, Jaber Rad, Ashraf Abusharekh, Patrice C. Roy, William Van Woensel, Samina Raza Abidi, Calvino Cheng, Bryan Crocker, Manal Elnenaei. 241-251 [doi]
• Using Cluster Ensembles to Identify Psychiatric Patient SubgroupsVincent Menger, Marco Spruit, Wouter van der Klift, Floor Scheepers. 252-262 [doi]
• Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms ProgressionAnita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac. 263-268 [doi]
• Interpretable Patient Subgrouping Using Trace-Based ClusteringAntonio Lopez Martinez-Carrasco, Jose M. Juarez, Manuel Campos, Antonio Morales Nicolás, Francisco Palacios, Lucia Lopez-Rodriguez. 269-274 [doi]
• Extracting Food-Drug Interactions from Scientific Literature: Tackling Unspecified RelationTsanta Randriatsitohaina, Thierry Hamon. 275-280 [doi]
• Bayesian Clustering for HIV1 Protease Inhibitor Contact MapsSandhya Prabhakaran, Julia E. Vogt. 281-285 [doi]
• Time-to-Birth Prediction Models and the Influence of Expert OpinionsGilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester. 286-291 [doi]
• Modelling the Impact of AI for Clinical Decision SupportMariana R. Neves, D. William R. Marsh. 292-297 [doi]
• Generating Positive Psychosis Symptom Keywords from Electronic Health RecordsNatalia Viani, Rashmi Patel, Robert Stewart 0002, Sumithra Velupillai. 298-303 [doi]
• Text-to-Movie Authoring of Anatomy LessonsVaishnavi Ameya Murukutla, Elie Cattan, Olivier Palombi, Rémi Ronfard. 304-308 [doi]
• Machine Learning and Feature Selection for the Classification of Mental Disorders from Methylation DataChristopher L. Bartlett, Stephen J. Glatt, Isabelle Bichindaritz. 311-321 [doi]
• A Machine Learning Approach to Predict Diabetes Using Short Recorded Photoplethysmography and Physiological CharacteristicsChirath Hettiarachchi, Charith Chitraranjan. 322-327 [doi]
• Identification of Patient Prescribing Predicting Cancer Diagnosis Using Boosted Decision TreesJosephine French, Cong Chen, Katherine Henson, Brian Shand, Patrick Ferris, Josh Pencheon, Sally Vernon, Meena Rafiq, David Howe, Georgios Lyratzopoulos, Jem Rashbass. 328-333 [doi]
• Automatic Image-Derived Estimation of the Arterial Whole-Blood Input Function from Dynamic Cerebral PET with ^18 F-CholineCarlos González, Pedro Bibiloni, Manuel González Hidalgo, Arnau Mir, Sebastià Rubí. 337-346 [doi]
• A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus PhotographsMd. Abu Sayed, Sajib Saha, G. M. Atiqur Rahaman, Tanmai K. Ghosh, Yogesan Kanagasingam. 347-351 [doi]
• A Critical Look at Studies Applying Over-Sampling on the TPEHGDB DatasetGilles Vandewiele, Isabelle Dehaene, Olivier Janssens, Femke Ongenae, Femke De Backere, Filip De Turck, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester. 355-364 [doi]
• Perspectives on Assurance Case Development for Retinal Disease Diagnosis Using Deep LearningChiara Picardi, Ibrahim Habli. 365-370 [doi]
• Rapid Detection of Heart Rate Fragmentation and Cardiac Arrhythmias: Cycle-by-Cycle rr Analysis, Supervised Machine Learning Model and Novel InsightsAnanya Rajagopalan, Marcus Vollmer. 371-375 [doi]
• Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac SurgeryLinda Lapp, Matt-Mouley Bouamrane, Kimberley Kavanagh, Marc Roper, David Young, Stefan Schraag. 376-385 [doi]
• Mining Compact Predictive Pattern Sets Using Classification ModelMatteo Mantovani, Carlo Combi, Milos Hauskrecht. 386-396 [doi]
• Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-SeriesArianna Dagliati, Nophar Geifman, Niels Peek, John H. Holmes, Lucia Sacchi, Seyed Erfan Sajjadi, Allan Tucker. 399-409 [doi]
• Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix FactorizationLuca Corinzia, Jesse Provost, Alessandro Candreva, Maurizio Tamarasso, Francesco Maisano, Joachim M. Buhmann. 410-419 [doi]
• Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's DiseaseTeodora Matic, Somayeh Aghanavesi, Mevludin Memedi, Dag Nyholm, Filip Bergquist, Vida Groznik, Jure Zabkar, Aleksander Sadikov. 420-424 [doi]