Accepted Papers

The following page contains the list of all the papers that have been accepted for oral presentation or poster presentation. Please note that this is a tentative list that can be modified.

Papers accepted for oral presentation:

Wellington Sousa Silva, Daniel Leonardo Jasbick, Rodrigo Erthal, Paulo Mazzoncini Azevedo-Marques, Agma Traina, Lucio F. D. Santos, Ana E. J. Santos, Daniel de Oliveira and Marcos Vinicius Naves Bedo. A Two-Phase Learning Approach for the Segmentation of Dermatological Wound

Marie Ely Piceno, José Luis Balcázar and Laura Rodriguez-Navas. Hierarchical Visualization of Co-Ocurrence Patterns on Diagnostic Data

Eduardo P. Garcia Del Valle, Gerardo Lagunes García, Lucía Prieto Santamaría, Massimiliano Zanin, Ernestina Menasalvas and Alejandro Rodriguez. Completing missing MeSH code mappings in UMLS through alternative expert-curated sources

Jonathan Ramos, Mirela Cazzolato, Bruno Faiçal, Marcello Nogueira-Barbosa and Agma Traina. 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging

Anastasios Nentidis, Anastasia Krithara, Grigorios Tsoumakas and Georgios Paliouras. Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision

Victor de Almeida Thomaz, Cesar Sierra-Franco and Alberto Barbosa Raposo. Training Data Enhancements for Robust Polyp Segmentation in Colonoscopy Images

Marjan Najafabadipour, Massimiliano Zanin, Alejandro Rodríguez-González, Consuelo Gonzalo-Martín, Beatriz Nuñez García, Virginia Calvo, Juan Luis Cruz Bermudez, Mariano Provencio and Ernestina Menasalvas. Recognition of Time Expressions in Spanish Electronic Health Records

César Antonio Ortiz, Nuria Gutierrez, Consuelo Gonzalo-Martin, Roberto Garrido, Alejandro Rodriguez and Ernestina Menasalvas. Radiomics textural features extracted from subcortical structures of Gray matter probability for Alzheimers disease detection

William Drew, Timothy Denison and Scott Stanslaski. A translational wireless deep brain stimulation monitoring system for chronic brain signal recording to automate neural disorder onset recording

Rafael Gómez, Nuria Garcia, Gonzalo Collantes, Francisco Ponce and Pau Redón. Development of a non-invasive procedure to early detect neonatal sepsis using HRV monitoring and machine learning algorithms

Diego Perna and Andrea Tagarelli. Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks

Lucas M. Valério, Daniel H. A. Alves, Pedro H. Bugatti, Claiton de Oliveira and Priscila T. M. Saito. DeepMammo: Deep Transfer Learning for Lesion Classification of Mammographic Images

Rosa Sicilia, Ermanno Cordelli, Mario Merone, Elia Luperto, Rocco Papalia, Giulio Iannello and Paolo Soda. Early radiomic experiences in classifying prostate cancer aggressiveness using 3D local binary patterns

Oscar Reyes, Raúl M. Luque, Justo Castaño and Sebastián Ventura. A supervised methodology for analyzing dysregulation in splicing machinery: an application in cancer diagnosis.

Ariel Teles, Ivan Rodrigues, Davi Viana, Francisco Silva, Luciano Coutinho, Markus Endler and Ricardo Rabêlo. Mobile Mental Health: A Review of Applications for Depression Assistance

Alejandro Baldominos, Hasan Ogul and Ricardo Colomo-Palacios. Infection Diagnosis using Biomedical Signals in Small Data Scenarios

Bashir Isa Dodo, Yongmin Li, Allan Tucker and Xiaohui Liu. Retinal OCT Segmentation Using Fuzzy Region Competition and Level Set Methods

Vinicius Andreoli Petrolini, Eduardo Beckhauser, Alexandre Savaris, Maria Inês Meurer, Dirk Krechel and Aldo von Wangenheim. Collaborative Telepathology in a Statewide Telemedicine Environment – First Tests in the Context of the Brazilian Public Healthcare System

David Wong, Samuel Relton, Hui Fang, Rami Qhawaji, Christopher Graham, Jane Alty and Stefan Williams. Supervised classification of bradykinesia for Parkinson’s disease diagnosis from smartphone videos

Michel Barlaud, Philippe Pognonec, Thierry Pourcher, Marc Antonini, Yuxiang Zhou, Benoit Watelier, Sherazade Aknoun and Manul Yonnet. Non invasive live cell cycle monitoring using quantitative phase imaging and proximal machine learning methods

Lizeth Andrea Castellanos Beltran, Pranavkumar Shivakumar, Jorge Bezerra, Carolina Uribe Cruz, Jorge Luiz dos Santos and Carla Freitas. Visualizing Structures in Confocal Microscopy Datasets Through Clusterization: A Case Study on Bile Ducts

Robin Kraft, Ferdinand Birk, Manfred Reichert, Aniruddha Deshpande, Winfried Schlee, Berthold Langguth, Harald Baumeister, Thomas Probst, Myra Spiliopoulou and Rüdiger Pryss. Design and Implementation of a Scalable Crowdsensing Platform for Geospatial Data of Tinnitus Patients

Allan Calderon, Aurora Pérez and Juan Valente. ECG feature extraction and ventricular fibrillation (VF) prediction using data mining techniques

Paul Compagnon, Grégoire Lefebvre, Stefan Duffner and Christophe Garcia. Personalized Posture and Fall Classification with Shallow Gated Recurrent Units

Zhenchen Wang, Allan Tucker and Puja Myles. Generating and Evaluating Synthetic UK Primary Care Data: Preserving Data Utility & Patient Privacy

Ricardo Pedro, Ariane Machado-Lima and Fátima Nunes. A new syntactic approach for masses classification in digital mammograms

Yihan Deng, Peter Dolog, Jörn-Markus Gass and Kerstin Denecke. Obesity entity extraction from real outpatient records: when learning based methods meet small imbalanced medical data.

Eduardo Pinho, João Figueira Silva and Carlos Costa. Volumetric feature learning for query-by-example in medical imaging archives

José Antonio Delgado-Osuna, Carlos García-Martínez, Sebastián Ventura and José Gómez-Barbadillo. Obtaining Tractable and Interpretable Descriptions for Cases with Complications from a Colorectal Cancer Database

Hadrien Lorenzo, Misbah Razzaq, Pierre-Emmanuel Morange, Jérôme Saracco, David-Alexandre Trégouët and Rodolphe Thiébaut. High-dimensional multi-block analysis of factors associated with thrombin generation potential

Cassandra Williams, Sudanthi Wijewickrema, Patorn Piromchai and Stephen O’Leary. The Effect of Practice Distribution on Skill Retention in Virtual Reality Temporal Bone Surgery Training

Guilherme Zabot, Bruno Faiçal, Mirela Cazzolato, Lucas Scabora, Agma Traina and Caetano Traina. UCORM: Indexing Uncorrelated Metric Spacesfor Concise Content-Based Retrieval of Medical Images

Lukas Kohout, Manuel Butz and Wilhelm Stork. Using Acceleration Data for Detecting Temporary Cognitive Overload in Health Care Exemplified Shown in a Pill Sorting Task

Hasan Fleyeh and Jerker Westin. Extracting Body Landmarks from Videos for Parkinson Gait Analysis

Igor Falcão, Daniel Souza, Marcos Seruffo and Diego Cardoso. Usability and Cognitive Benefits of a Serious Game to Combat Aedes aegypti Mosquito

Jie Wang, Zhigang Li, Rui Jiang and Zhen Xie. Instance Segmentation of Anatomical Structures in Chest Radiographs

Gopabandhu Hota, Abhilash Nandy, Kshitiz Goel, Dishank Yadav, Saumo Pal and Ankush Roy. An Adaptive Anaphylaxis Detection and Emergency Response System

Muntazir Mehdi, Denis Schwager, Rüdiger Pryss, Winfried Schlee, Manfred Reichert and Franz J. Hauck. Towards Automated Smart Mobile Crowdsensing for Tinnitus Research

Jayr Pereira, Carolline Pena, Mariana de Melo, Bruno Cartaxo, Sérgio Soares and Robson Fidalgo. Facilitators and Barriers to Using Alternative and Augmentative Communication Systems by Aphasic

Lilia Aljihmani, Yibo Zhu, Hasan Abbas, Ranjana Mehta, Farzan Sasangohar, Madhav Erraguntla, Qammer Abbasi and Khalid Qaraqe. Spectral Analysis of Hand Tremors induced during a Fatigue Test

Sofía Ahufinger and Pilar Herrero. 3D Brain Connectivity Visualization for Medical Systems

Maria Sanchez-Doria, Jose Emilio Labra Gayo, Daniel Fernández-Álvarez and Herminio García-González. Testing the usability of SNOMED CT terms suggestion in medical report

Lucas Lima, José Ferreira Junior and Marcelo Oliveira. Efficient Hyperparameter Optimization of Convolutional Neural Networks on Classification of Early Pulmonary Nodules

Tuğba Günaydın and Reis Burak Arslan. LOWER-LIMB FOLLOW-UP: A Surface Electromyography Based Serious Computer Game and Patient Follow-Up System For Lower Extremity Muscle Strengthening Exercises in Physiotherapy and Rehabilitation

Gilvan Veras Magalhães Junior, João Paulo Albuquerque Vieira, Roney Lira de Sales Santos, Pedro de Alcântara dos Santos Neto and Raimundo Santos Moura. A Study of the Influence of Textual Features in Learning Medical Prior Authorization

David Griol and Zoraida Callejas. Mobile Conversational Agents for stroke rehabilitation therapy

Chathurangika Kahandawaarachchi, Yasith Dissnayake and Prasansanie Thilakasiri. Memory Improvement Tool for Aphasia

Aaron Masino, Daniel Forsyth, Heather Nuske, John Herrington, Jeffrey Pennington, Yelena Kushleyeva and Christopher Bonafide. m-Health and Autism: Recognizing Stress and Anxiety with Machine Learning and Wearables Data

Wilson Daniel Da Silva and Cléver Ricardo Guareis de Farias. Support for accessibility, reproducibility and transparency in a service-oriented gene expression analysis platform

Jongwoo Kim, Loc Tran, Emily Y. Chew and Sameer Antani. Optic Disc and Cup Segmentation for Glaucoma Characterization Using Deep Learning

Henrique Silva and Rosana Braga. IoT applications to combat Aedes aegypti: a Systematic Literature Mapping

Carmen Luque, José María Luna and Sebastian Ventura. MiNerDoc: a Semantically Enriched Text Mining System to Transform Clinical Text into Knowledge

João Rafael Almeida and José Luís Oliveira. GenericCDSS – A Generic Clinical Decision Support System

Hasan Ogul, Alejandro Baldominos, Tunc Asuroglu and Ricardo Colomo-Palacios. On computer-aided prognosis of septic shock from vital signs

William J Hulme, Charlotte Stockton-Powdrell, Shôn Lewis, Glen P Martin, Sandra Bucci, Bijan Parsia, Ibrahim Habli, Alexander J Casson and Niels Peek. Cluster Hidden Markov Models: an application to Ecological Momentary Assessment of Schizophrenia

Zoe Valero-Ramon, Carlos Fernandez-Llatas, Antonio Martinez-Millana and Vicente Traver. A dynamic behavioral approach to nutritional assessment using process mining

Ignacio Martinez Soriano, Juan Luis Castro Peña, Jesualdo Tomas Fernandez Breis, Ignacio San Roman, Adrian Alonso Barriuso and David Guevara Baraza. Snomed2Vec: representation of SNOMED CT terms using Word2Vec

Jie Wang, Rui Jiang and Zhen Xie. Rule-based Method to Develop Question-answer Dataset from Chest X-ray Reports

Marco Antônio Schwertner, Sandro José Rigo, Denis Andrei Araújo and Bjoern Skofier. Fostering natural language question answering over knowledge bases in oncology EHR

Shane Sheehan, Pierre Albert, Masood Masoodian and Saturnino Luz. TeMoCo: A Visualization tool for Temporal Analysis of Multi-Party Dialogues in Clinical Settings

Leila Yousefi, Stephen Swift, Mahir Arzoky, Luca Chiovato, Lucia Sacchi and Allan Tucker. Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery

Stefano Mariani, Franco Zambonelli, Akos Tenyi, Isaac Cano and Josep Roca. Risk Prediction as a Service: a DSS architecture promoting interoperability and collaboration

Gerardo Lagunes García, Lucía Prieto Santamaría, Eduardo P. Garcia Del Valle, Massimiliano Zanin, Ernestina Menasalvas and Alejandro Rodriguez. Wikipedia disease articles: an analysis of their content and evolution

Papers accepted for poster presentation:

Sofía Ahufinger, Elías Pequeño and Pilar Herrero. Mob_EEG: A User-centered Design for Wireless EEG in ICU

Xiaoli Liu, Xiang Su, Satu Tamminen, Topi Korhonen and Juha Röning. Predicting the Heart Rate Response to Outdoor Running Exercise

Carlos Martinez-Millana, Antonio Martinez-Millana, Bernardo Valdivieso Martinez and Vicente Traver Salcedo. Comparing data base engines for building big data analytics in obesity detection

Wagner Daufenbach Do Amaral, Mario Antonio Ribeiro Dantas and Fernanda Campos. A Model for Recognition of Human Activities in Ambient Assisted Living

Félix Buendía, Joaquín Gayoso-Cabada, Juan Antonio Juanes-Méndez and José-Luis Sierra. Transforming Unstructured Clinical Free-Text Corpora into Reconfigurable Medical Digital Collections

Caroline Leroy, Yvonne Kammerer, Uwe Oestermeier, Karsten Büringer, Michael Bitzer and Peter Gerjets. Inferential reasoning driving clinical diagnosis: Suggestions for new assessment approaches

Ishtiaq Ahmad, Haris Hussain and Mahnoor Rasheed. A Robust Motor Imagery Based EEG Signal Classification Method for BCI Systems

Matt-Mouley Bouamrane and Ramsay Meikleim. Haemodialysis Electronic Patient Portal: A Design Requirements Analysis and Feasibility Study with Domain Experts

Jonathan de Matos, Alceu de Souza Britto Jr., Luiz Eduardo Soares de Oliveira and Alessandro Lameiras Koerich. Texture CNN for Histopathological Image Classification

Edson Damasceno Carvalho and Helton Hideraldo Bíscaro. Models of deformation without geometric mesh for soft tissues

Steve Counsell, Stephen Swift, Mahir Arzoky and Giuseppe Destefanis. An Empirical Study of the AGIS Visual Field Metric and its Seasonal Variations

Antonio Martinez-Millana, Zoe Valero-Ramon, Carlos Fernandez-Llatas, Purificación Garcia Segovia and Vicente Traver Salcedo. Evaluation of an app based questionnaire for the nutritional assessment in elderly housing

Antonio Sousa Vieira de Carvalho Junior, Thiago Carvalho Sousa and Helton Hideraldo Bíscaro. Blood flow SPH simulation with elastic deformation of blood vessels

Eduardo Beckhauser, Vinicius Andreoli Petrolini, Alexandre Savaris, Aldo von Wangenheim and Dirk Krechel. Systematic approach and tools for migrating from text-based reports to structured reports: Based on the DICOM Structured Reporting guidelines

Oscar Cuadros Linares, Bruno Faiçal, Paulo Barbosa, Bernd Hamann, Alexandre Fabro and Agma Traina. How to Automatically Identify Regions of Interest in High-resolution Images of Lung Biopsy for Interstitial Fibrosis Diagnosis

Jefferson Camelo, Pedro Santos Neto, Erick Passos, Ricardo Rabelo, Jardeson Barbosa and Lucas Lopes. How to Avoid Customer Churn in Health Insurance/Plans? A Machine Learning Approach

Lina Garcés, Isabella Zanin Vicente and Elisa Yumi Nakagawa. Software Architecture for Health Care Supportive Home System to Assist Patients with Diabetes Mellitus

Sandro Luis Freire de Castro Silva, Nadja Antonio, Marcelo Fornazin and Rodrigo Pereira dos Santos. Looking for Emergent Systems in Computer-Based Medical Systems: A Review from the Last DecadeRui Lebre, Rui Jesus, Pedro Nunes and Carlos Costa. Collaborative Framework for a Whole-Slide Image Viewer

Haridimos Kondylakis, Yannis Petrakis, Svoronos Leivadaros, Galatia Iatraki and Dimitrios Katehakis. Using XDS and FHIR to Support Mobile Access to EHR Information Through Personal Health Apps

Ali Hassan, Memoona Iftikhar, Shoab Khan, Farhan Riaz and Hafiza Aleeha Zafar. Use of time-frequency based DWT for ERD and ERS Detection in EEG Motor Imagery

Farhan Riaz, Rehan Nemati, Hina Ajmal, Ali Hassan, Ernest Edifor, Raheel Nawaz. Osteoporosis Classification Using Texture Features

Bernardo Cánovas Segura, Antonio Morales, Antonio Lopez Martinez-Carrasco, Manuel Campos, Jose M. Juarez, Lucía López Rodríguez and Francisco Palacios. Improving interpretable prediction models for antimicrobial resistance

Carolyn McGregor and Priscilla Xoliswa Majola. Opportunities for a Cloud based Health Analytics as a Service for Eastern Cape Initiation Schools in South Africa

Joaquín Pineda-Gutiérrez, Lourdes Miró-Amarante, Mariló Hernández-Velázquez, Francisco Sivianes-Castillo and Manuel Domínguez-Morales. Designing a wearable device for step analyzing

Martí Zamora and Ricard Gavaldà. Interpretable Patient Trajectories from Temporally Annotated Health Records

Homero Schiabel, Maria Angelica Sousa and Bruno Matheus. Developing and testing an image dataset from a random structured breast phantom: a tool to CADx schemes evaluation

Gergely Szlobodnyik. Extracting activity patterns from altering biological networks: a sparse autoencoder approach

Papers accepted for oral presentation:

Lydia Montandon and Dimosthenis Kyriazis. CrowdHEALTH: Collective Wisdom Driving Public Health Policies

Audald Lloret-Villas and Jordi Rambla. European Genome-phenome Archive (EGA) – Granular solutions for the next 10 years

Niels Henrik Pontoppidan. EVOTION – big data supporting public hearing health policies

Nekane Larburu, Naiara Muro and Ivan Macia. DESIREE DEMO – a web-based software ecosystem for the personalized, collaborative and multidisciplinary management of primary breast cancer

Anastasios Delopoulos. Big Data against Childhood Obesity, the BigO project

Laura Lopez-Perez, Liss Hernández, Manuel Ottaviano, Elena Martinelli, Tito Poli, Lisa Licitra, Maria T. Arredondo and Giuseppe Fico. BD2Decide: Big Data and models for personalized Head and Neck Cancer Decision support

Michaela Black, Jonathan Wallace, Debbie Rankin, Raymond Bond, Maurice Mulvenna, Brian Cleland, Paul Carlin, Scott Fischaber, Gorka Epelde, Gorana Nikolic, Juha Pajula and Regina Connolly. Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch

Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi, Anastasios Nentidis, Konstantinos Bougatiotis, Maria-Esther Vidal, Ernestina Menasalvas, Alejandro Rodriguez-Gonzalez, Eleftherios Samaras, Peter Garrard, Maria Torrente, Mariano Provencio Pulla, Nikos Dimakopoulos, Rui Mauricio, Jordi Rambla De Argila, Gian Gaetano Tartaglia and George Paliouras. iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine

Manuel Ottaviano, Maria Fernanda Cabrera-Umpiérrez and Maria Teresa Arredondo Waldmeyer. PULSE: Participatory Urban Living for Sustainable Environment

Monica Caballero, Jon Ander Gómez and Aimilia Bantouna. Deep-Learning and HPC to Boost Biomedical Applications for Health (DeepHealth)

Flávia Dias Casagrande, Oda Olsen Nedrejord, Wonho Lee and Evi Zouganeli. Action Recognition in Real Homes using Low Resolution Depth Video Data

Papers accepted for poster presentation:

Rachel Mutrux and Mirna Becevic. Show-Me ECHO Project: Telementoring initiative

Papers accepted for oral presentation:

Krati Gupta, Arnav Bhavsar and Anil Sao. Deep Neural Network based Identification of HEp-2 Specimen Images for Autoimmune Disorders Detection

Jordi Carrere-Molina, Laia Subirats and Jordi Casas-Roma. Towards an analysis of post-transcriptional gene regulation in psoriasis via microRNAs using Machine Learning algorithms

Gerardo Lagunes García and Alejandro Rodriguez González. Characterization of diseases based on phenotypic information through knowledge extraction using public sources

Fer Carmona, Jordi Conesa and Jordi Casas-Roma. Towards the Analysis of How Anonymization Affects Usefulness of Health Data in the Context of Machine Learning

Papers accepted for oral presentation:

Adele Marshall and Aleksandar Novakovic. Analysing the performance of a real-time healthcare 4.0 systems using shared frailty time to event models

Gabriele Piantadosi, Stefano Marrone, Antonio Galli, Mario Sansone and Carlo Sansone. DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network

Papers accepted for poster presentation:

Luis Daniel Bolaños, Jose Maria Vicente-Samper, David Zambrana Vinaroz, Oscar Andres Vivas, Vicente Esteve Sala and Jose Maria Sabater-Navarro. Low cost EDA device for screening diabetic neuropathy

Sara Montagna, Angelo Croatti, Alessandro Ricci, Vanni Agnoletti and Vittorio Albarello. Pervasive Tracking for Time-Dependent Acute Patient Flow: a Case Study in Trauma Management

Papers accepted for oral presentation:

Michela Assale, Erica Barbero and Federico Cabitza. Digitizing the Informed Consent: the challenges to design for practices

Micael Pedrosa, Carlos Costa and Julian Dorado. GDPR impacts and opportunities for computer-aided diagnosis – Guidelines and legal perspectives

Papers accepted for oral presentation:

Andrik Rampun, Bryan Scotney, Philip Morrow and Hui Wang. Breast Density Classification using Local Septenary Patterns: A Multi-resolution and Multi-Topology Approach

Jaime Benjumea, Enrique Dorronzoro, Jorge Ropero, Octavio Rivera-Romero and Alejandro Carrasco. Privacy in Mobile Health Applications for Breast Cancer Patients

Haridimos Kondylakis, Lefteris Koumakis, Dimitrios Katehakis, Angelina Kouroubali, Kostas Marias, Manolis Tsiknakis, Panagiotis Simos and Evangelos Karademas. Developing a Data Infrastructure for Enabling Breast Cancer Women to BOUNCE Back

Nekane Larburu, Monica Arrue, Iván Macía, Naiara Muro and Jon Kerexeta. Breast Cancer Digital Patient Model to Capture and Visualize Real World Data

Papers accepted for poster presentation:

Diego Fiori de Carvalho, Jose Antonio Camacho-Guerrero, Andrey Omar Mozo Uscamayta, Heleno Murilo Campeão Vale, Luis Maldonado and Harley Francisco Oliveira. WORKFLOW MODULE FRONT END IN A ONCO APP

Louise Brennan, Enrique Dorronzoro Zubiete and Brian Caulfield. Biofeedback in Breast Cancer Rehabilitation: Applying the WHO ICF Core Set to Identify Opportunities and Recommendations

Dominic O’Connor and Brian Caulfield. Development of a personalised and progressive neuromusuclar electrical stimulation (NMES) exercise intervention for early stage cancer rehabilitation

Papers accepted for oral presentation:

Kh Tohidul Islam, Sudanthi Wijewickrema and Stephen O’Leary. Identifying Diabetic Retinopathy from OCT Images using Deep Transfer Learning with Artificial Neural Networks

Fredrik Lund Henriksen, Rune Jensen, Håkon Kvale Stensland, Dag Johansen, Michael Riegler and Pål Halvorsen. Performance of Data Enhancements and Training Optimization for Neural Network – A Polyp Detection Case Study

Alejandro Ruiz-de-la-Cuadra, Jose Luis Lopez-Cuadrado, Israel Gonzalez-Carrasco and Belen Ruiz-Mezcua. Sequence Time Expression Recognition in the Spanish Clinical Narrative

Jonathan Rebane, Isak Karlsson and Panagiotis Papapetrou. An Investigation of Interpretable Deep Learning for Adverse Drug Event Prediction

Papers accepted for poster presentation:

Tarum Khajuria, Eman Badr, Mouaz Al-Mallah, Sherif Sakr. LDLCT: An Instance-based Framework for Lesion Detection on Lung CT Scans

Papers accepted for oral presentation:

Javad Rahimipour Anaraki, Saeed Samet, Mohamed Shehata, Kris Aubrey-Bassler, Ebrahim Karami, Saba Samet and Andrew Smith. Detecting Relative Changes in Circulating Blood Volume using Ultrasound and Simulation

Tomas Koutny, Antonio Della Cioppa, Ivanoe De Falco, Michal Krcma, Ernesto Tarantino and Umberto Scafuri. De–randomized Meta-Differential Evolution for Calculating and Predicting Glucose Levels

Radwa El Shawi, Youssef Sherif, Mouaz Al-Mallah, Sherif Sakr. Interpretability in HealthCare: A Comparative Study of Local Machine Learning Interpretabiliy Techniques

Antonio Della Cioppa, Rosa Senatore and Angelo Marcelli. Automatic Diagnosis of Parkinson Disease through handwriting analysis: a Cartesian Genetic Programming approach

Biraja Ghoshal and Allan Tucker. Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians when Segmenting Nuclei Image Data

Quentin Thurier, Ning Hua and Luke Boyle. Inspecting a machine learning based clinical risk calculator: a practical perspective

Roberto Enea, Maria Teresa Pazienza and Andrea Turbati. EMMI: Enquiry Model for Medical Investigation

Pavel Kroupa, Kerlann Le Calvez, Caroline Morton and Matthew Williams. K-Nearest Neighbours algorithm for simple, interpretable survival predictions

Tom Van Steenkiste, Dirk Deschrijver and Tom Dhaene. Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders

Silvia Panicacci, Massimiliano Donati, Luca Fanucci, Irene Bellini, Francesco Profili and Paolo Francesconi. Exploring Machine Learning Algorithms to Identify Heart Failure Patients: the Tuscany Region case study

Angi Ghanem and Özden Gür Ali. Evaluating Average and Heterogeneous Treatment Effects In Light of Domain Knowledge: Impact of Behaviors on Disease Prevalence

Italo Zoppis, Sara Manzoni and Giancarlo Mauri. A Computational Model for Promoting Targeted Communication and Supplying Social Explainable Recommendations

Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins and Björn Schuller. I know how you feel now, and here’s why!: Demystifying Time-continuous High Resolution Text-based Affect Predictions In the Wild

Hamid Usefi and Javad Rahimipour Anaraki. A Comparative Study of Feature Selection Methods on Genomic Datasets

Papers accepted for poster presentation:

Paula Subías Beltrán, Silvia Orte, Eloisa Vargiu, Filippo Palumbo, Leonardo Angelini, Omar Abou Khaled, Elena Mugellini and Maurizio Caon. A Decision Support System to Propose Coaching Plans for Seniors

Francesco Gargiulo, Stefano Silvestri and Mario Ciampi. Exploit Hierarchical Label Knowledge for Deep Learning

Laura Verde and Giuseppe De Pietro. An objective measure of carotid disease based on a multiparameter approach

Awad Alyousef, Svetlana Nihtyanova, Chris Denton and Allan Tucker. Latent Class Multi-Label Classification to Identify Subclasses of Disease for Improved Prediction

Feras Odeh and Adel Taweel. Mining Adverse Drug Reaction Mentions using Features Engineering and Convolution Neural Networks

Lejla Alic, Hasan Abbas, Marelyn Rios, Muhammad Abdul-Ghani and Khalid Qaraqe. Predicting Diabetes in Healthy Population through Machine Learning