Analyzing complex data from COVID-19 to support decision making and prognosis

• Grant number: 20/07200-9
• Support Opportunities: Regular Research Grants
• Start date: July 01, 2020
• End date: March 31, 2023
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Agma Juci Machado Traina
• Grantee: Agma Juci Machado Traina
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated researchers: Caetano Traina Junior ; Diego Armando Cardona Cardenas ; Elaine Parros Machado de Sousa ; José Fernando Rodrigues Júnior ; José Raniery Ferreira Junior ; Leticia Rittner ; Marcel Koenigkam Santos ; Marco Antonio Gutierrez ; Paulo Mazzoncini de Azevedo Marques ; Roberto de Alencar Lotufo ; Robson Leonardo Ferreira Cordeiro
• Associated research grant: 16/17078-0 - Mining, indexing and visualizing Big Data in clinical decision support systems (MIVisBD), AP.TEM
• Associated scholarship(s): 20/12528-3 - Database development and support for machine learning aimed at radiomic studies for COVID-19, BP.TT; 20/14180-4 - Development of radiographic quantitative markers for Precision Medicine regarding acute respiratory syndrome, BP.PD; 20/10902-5 - Handling similarity queries over incomplete data in a Relational DBMS, BP.TT

Abstract

This supplementary research project aims at proposing, exploring and developing new methods and algorithms to be used in decision-making processes for medical diagnosis and prognosis of patients in the context of COVID-19. These methods and algorithms will be instantiated in systems and applications that will be made available to the scientific community to support this decision-making process quickly and accurately. The challenges to be overcome begin with the assembly of databases and images from different and often incomplete platforms, and the application of the radiomic technique on X-ray (RX) and computed tomography (CT) images, with the premise of that massive quantitative and qualitative characteristics on X-ray images can bring the necessary information for the diagnosis of COVID-19, in the same way that CT provides. The advantage of this approach that will be investigated is the lower cost and greater availability of X-rays, allowing more patients to benefit from the results of this proposal. In addition to providing cured and consistent material for research and advances in the area of COVID-19. In addition, cured databases and images for research will be made available to the community of the area. (AU)

Scientific publications

(24)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

BRANDOLI, BRUNO; DE GEUS, ANDRE R.; SOUZA, JEFFERSON R.; SPADON, GABRIEL; SOARES, AMILCAR; RODRIGUES, JR., JOSE F.; KOMOROWSKI, JERZY; MATWIN, STAN. Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. SENSORS, v. 21, n. 12, JUN 2021. (17/08376-0, 18/17620-5, 19/04461-9, 20/07200-9, 16/17078-0, 14/25337-0)

CAZZOLATO, MIRELA T.; RAMOS, JONATHAN S.; RODRIGUES, LUCAS S.; SCABORA, LUCAS C.; CHINO, DANIEL Y. T.; JORGE, ANA E. S.; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; JR, CAETANO TRAINA; TRAINA, AGMA J. M.. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. COMPUTERS IN BIOLOGY AND MEDICINE, v. 134, JUL 2021. (18/24414-2, 16/17078-0, 16/17330-1, 20/07200-9, 20/11258-2, 20/10902-5)

GIUNTINI, FELIPE TALIAR; DE MORAES, KAUE L.; CAZZOLATO, MIRELA T.; KIRCHNER, LUZIANE DE FATIMA; DOS REIS, MARIA DE JESUS D.; TRAINA, AGMA J. M.; CAMPBELL, ANDREW T.; UEYAMA, JO. Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks. IEEE ACCESS, v. 9, p. 93182-93194, 2021. (13/07375-0, 20/11258-2, 18/24414-2, 18/17335-9, 16/17078-0, 20/07200-9)

GIUNTINI, FELIPE TALIAR; DE MORAES, KAUE L. P.; CAZZOLATO, MIRELA T.; KIRCHNER, LUZIANE DE FATIMA; DOS REIS, MARIA DE JESUS D.; TRAINA, AGMA J. M.; CAMPBELL, ANDREW T.; UEYAMA, JO. Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining. IEEE ACCESS, v. 9, p. 97621-97635, 2021. (18/24414-2, 20/07200-9, 13/07375-0, 16/17078-0, 20/11258-2, 18/17335-9)

ALVES, MATHEUS A. C.; CORDEIRO, ROBSON L. F.. Effective and unburdensome forecast of highway traffic flow with adaptive computing. KNOWLEDGE-BASED SYSTEMS, v. 212, JAN 5 2021. (20/07200-9, 18/05714-5, 16/17078-0)

RODRIGUES, LUCAS S.; VESPA, THIAGO G.; ELEUTERIO, IGOR A. R.; OLIVEIRA, WILLIAN D.; TRAINA, AGMA J. M.; TRAINA JR, CAETANO; GROEN, D; DEMULATIER, C; PASZYNSKI, M; KRZHIZHANOVSKAYA, VV; et al. MiDaS: Extract Golden Results from Knowledge Discovery Even over Incomplete Databases. COMPUTATIONAL SCIENCE, ICCS 2022, PT IV, v. N/A, p. 15-pg., 2022-01-01. (16/17078-0, 20/10902-5, 20/07200-9)

CLEMENTINO, JOSE M., JR.; FAICAL, BRUNO S.; BONES, CHRISTIAN C.; TRAINA, CAETANO, JR.; GUTIERREZ, MARCO A.; TRAINA, AGMA J. M.; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; KANE, B; et al. Multilevel Clustering Explainer: An Explainable Approach to Electronic Health Records. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2021-01-01. (20/07200-9, 16/17078-0, 18/06074-0, 19/04660-1, 18/06228-7)

MARCOMINI, KAREM DAIANE; CARDONA CARDENAS, DIEGO ARMANDO; MACHADO TRAINA, AGMA JUCI; KRIEGER, JOSE EDUARDO; GUTIERREZ, MARCO ANTONIO; DRUKKER, K; IFTEKHARUDDIN, KM. A deep learning approach for COVID-19 screening and localization on Chest X-Ray images. MEDICAL IMAGING 2022: COMPUTER-AIDED DIAGNOSIS, v. 12033, p. 9-pg., 2022-01-01. (20/07200-9, 16/17078-0, 20/14180-4)

DE AGUIAR, ERIKSON J.; MARCOMINI, KAREM D.; QUIRINO, FELIPE A.; GUTIERREZ, MARCO A.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; DRUKKER, K; IFTEKHARUDDIN, KM. Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases. MEDICAL IMAGING 2022: COMPUTER-AIDED DIAGNOSIS, v. 12033, p. 7-pg., 2022-01-01. (20/07200-9, 16/17078-0, 20/14180-4)

MILON-FLORES, DANIELA F.; CORDEIRO, ROBSON L. F.. How to take advantage of behavioral features for the early detection of grooming in online conversations. KNOWLEDGE-BASED SYSTEMS, v. 240, p. 29-pg., 2022-01-22. (20/07200-9, 16/17078-0, 18/05714-5)

SPADON, GABRIEL; HONG, SHENDA; BRANDOLI, BRUNO; MATWIN, STAN; RODRIGUES-JR, JOSE F.; SUN, JIMENG. Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v. 44, n. 9, p. 17-pg., 2022-09-01. (16/17078-0, 20/07200-9, 18/17620-5, 17/08376-0, 14/25337-0, 19/04461-9)

CLEMENTINO JR, JOSE M.; BONES, CHRISTIAN C.; FAICAL, BRUNO S.; LINARES, OSCAR C.; LIMA, DANIEL M.; GUTIERREZ, MARCO A.; TRAINA JR, CAETANO; TRAINA, AGMA J. M.; DEHERRERA, AGS; GONZALEZ, AR; et al. Bag-of-Attributes Representation: a Vector Space Model for Electronic Health Records Analysis in OMOP. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., 2020-01-01. (18/06228-7, 16/17078-0, 20/07200-9, 19/04660-1, 18/06074-0)

DE OLIVEIRA NOVAES, JOAO VICTOR; DUTRA SANTOS, LUCIO FERNANDES; TRAINA, AGMA JUCI MACHADO; TRAINA, CAETANO, JR.; CHIUSANO, S; CERQUITELLI, T; WREMBEL, R. ORTree: Tuning Diversified Similarity Queries by Means of Data Partitioning. ADVANCES IN DATABASES AND INFORMATION SYSTEMS, ADBIS 2022, v. 13389, p. 14-pg., 2022-01-01. (16/17078-0, 20/07200-9)

RODRIGUES, LUCAS SANTIAGO; CAZZOLATO, MIRELA TEIXEIRA; MACHADO TRAINA, AGMA JUCI; TRAINA JR, CAETANO; SATOH, S; ZIMEK, A; BARTOLINI, I; JONSSON, BP; VADICAMO, L; CARRARA, F; et al. Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values. SIMILARITY SEARCH AND APPLICATIONS, SISAP 2020, v. 12440, p. 9-pg., 2020-01-01. (20/07200-9, 18/24414-2, 16/17078-0, 20/10902-5)

COSTA, MARCUS V. L.; DE AGUIAR, ERIKSON J.; RODRIGUES, LUCAS S.; RAMOS, JONATHAN S.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; ALMEIDA, JR; SPILIOPOULOU, M; ANDRADES, JAB; PLACIDI, G; et al. A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model. 2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS, v. N/A, p. 6-pg., 2023-01-01. (16/17078-0, 20/07200-9, 21/08982-3)

PONCIANO, JEAN R.; LINHARES, CLAUDIO D. G.; ROCHA, LUIS E. C.; FARIA, ELAINE R.; TRAVENCOLO, BRUNO A. N.; ACM. Combining clutter reduction methods for temporal network visualization. 37TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, v. N/A, p. 8-pg., 2022-01-01. (20/10049-0, 16/17078-0, 20/07200-9)

LINHARES, CLAUDIO D. G.; LIMA, DANIEL M.; PONCIANO, JEAN R.; OLIVATTO, MAURO M.; GUTIERREZ, MARCO A.; POCO, JORGE; TRAINA JR, CAETANO; TRAINA, AGMA J. M.. ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v. 29, n. 10, p. 16-pg., 2023-10-01. (20/10049-0, 16/17078-0, 20/07200-9)

LINARES, OSCAR CUADROS; SORIANO-VARGAS, AUREA AUREA; FAICAL, BRUNO S.; HAMANN, BERND; FABRO, ALEXANDRE T.; TRAINA, AGMA J. M.; DEHERRERA, AGS; GONZALEZ, AR; SANTOSH, KC; TEMESGEN, Z; et al. Efficient Segmentation of Cell Nuclei in Histopathological Images. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., 2020-01-01. (16/17078-0, 18/06228-7, 18/06074-0, 20/07200-9)

LINHARES, CLAUDIO D. G.; TINOCO, CLAUDINEY R.; PONCIANO, JEAN R.; OLIVEIRA, GINA M. B.; TRAVENCOLO, BRUNO A. N.; XAVIER-JUNIOR, JC; RIOS, RA. A Network-Based Visual Analytics Approach for Performance Evaluation of Swarms of Robots in the Surveillance Task. INTELLIGENT SYSTEMS, PT I, v. 13653, p. 16-pg., 2022-01-01. (20/07200-9, 16/17078-0, 20/10049-0)

CAZZOLATO, MIRELA T.; RAMOS, JONATHAN S.; RODRIGUES, LUCAS S.; SCABORA, LUCAS C.; CHINO, DANIEL Y. T.; JORGE, ANA E. S.; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; TRAINA JR, CAETANO; TRAINA, AGMA J. M.; DEHERRERA, AGS; et al. Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., 2020-01-01. (16/17078-0, 20/07200-9, 17/23780-2, 18/24414-2, 16/17330-1)

DE AGUIAR, ERIKSON J.; COSTA, MARCUS V. L.; TRAINA-, CAETANO, JR.; TRAINA, AGORA J. M.; ALMEIDA, JR; SPILIOPOULOU, M; ANDRADES, JAB; PLACIDI, G; GONZALEZ, AR; SICILIA, R; et al. Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings. 2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS, v. N/A, p. 4-pg., 2023-01-01. (16/17078-0, 20/07200-9, 21/08982-3)

CAZZOLATO, MIRELA T.; TRAINA, AGMA J. M.; BOHM, KLEMENS. Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution. INFORMATION SYSTEMS, v. 105, MAR 2022. (20/11258-2, 16/17078-0, 20/07200-9, 18/24414-2)

RAMOS, JONATHAN S.; MACIEL, JAMILLY G.; CAZZOLATO, MIRELA T.; TRAINA JR, CAETANO; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, AGMA J. M.; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; KANE, B; et al. BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2021-01-01. (20/11258-2, 17/23780-2, 20/07200-9, 16/17078-0, 18/04266-9)

LINHARES, CLAUDIO D. G.; LIMA, DANIEL M.; BONES, CHRISTIAN C.; REBELO, MARINA F. S.; GUTIERREZ, MARCO A.; TRAINA JR, CAETANO; TRAINA, AGMA J. M.; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; et al. I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2021-01-01. (20/07200-9, 16/17078-0, 19/04660-1, 20/10049-0)