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Mochão H, Gonçalves D, Alexandre L, Castro C, Valério D, Barahona P, Moreira-Gonçalves D, Costa PMD, Henriques R, Santos LL, Costa RS. IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 219:106754. [PMID: 35364482 DOI: 10.1016/j.cmpb.2022.106754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 03/07/2022] [Accepted: 03/11/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND The performance of traditional risk score systems to predict (post)-operative outcomes is limited. This weakness reduces confidence in its use to support clinical risk mitigation decisions. However, the rapid growth of health data in the last years offers principles to deal with some of these limitations. In this regard, the data allows the extraction of relevant information for both patients stratification and the rigorous identification of associated risk factors. The patients can then be targeted to specific preoperative optimization programs, thus contributing to the reduction of associated morbidity and mortality. OBJECTIVES The main goal of this work is, therefore, to provide a clinical decision support system (CDSS) based on data-driven modeling methods for surgical risk prediction specific for cancer patients in Portugal. RESULTS The result is IPOscore, a single web-based platform aimed at being an innovative approach to assist clinical decision-making in the surgical oncology domain. This system includes a database to store/manage the clinical data collected in a structured format, data visualization and analysis tools, and predictive machine learning models to predict postoperative outcomes in cancer patients. IPOscore also includes a pattern mining module based on biclustering to assess the discriminative power of a pattern towards postsurgical outcomes. Additionally, a mobile application is provided to this end. CONCLUSIONS The IPOscore platform is a valuable tool for surgical oncologists not only for clinical data management but also as a preventative and predictive healthcare system. Currently, this clinical support tool is being tested at the Portuguese Institute of Oncology (IPO-Porto), and can be accessed online at https://iposcore.org.
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Affiliation(s)
- Hugo Mochão
- IDMEC, Instituto Superior Tecnico, Universidade de Lisboa, Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal
| | - Daniel Gonçalves
- IDMEC, Instituto Superior Tecnico, Universidade de Lisboa, Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal; LAQV-REQUIMTE, DQ, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Campus da Caparica, Caparica, 2829-516, Portugal; INESC-ID, Lisboa, Portugal, R. Alves Redol 9, Lisboa, 1000-029, Portugal
| | - Leonardo Alexandre
- IDMEC, Instituto Superior Tecnico, Universidade de Lisboa, Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal; LAQV-REQUIMTE, DQ, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Campus da Caparica, Caparica, 2829-516, Portugal; INESC-ID, Lisboa, Portugal, R. Alves Redol 9, Lisboa, 1000-029, Portugal
| | - Carolina Castro
- Experimental Pathology and Therapeutics Group of Portuguese Institute of Oncology of Porto FG, EPE (IPO-Porto), Porto, Portugal
| | - Duarte Valério
- IDMEC, Instituto Superior Tecnico, Universidade de Lisboa, Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal
| | - Pedro Barahona
- NOVA LINCS, Dept. Informatica Faculdade de Ciencias e Tecnologia, Universidade NOVA de Lisboa, Campus da Caparica, Caparica, 2829-516, Portugal
| | - Daniel Moreira-Gonçalves
- Research Centre in Physical Activity, Health and Leisure, Faculdade de Desporto, Universidade do Porto, Porto, Portugal
| | - Paulo Matos da Costa
- General Surgery Service, Hospital Garcia de Orta, E.P.E., Portugal; Faculdade de Medicina da Universidade de Lisboa, Portugal
| | - Rui Henriques
- INESC-ID, Lisboa, Portugal, R. Alves Redol 9, Lisboa, 1000-029, Portugal; Instituto Superior Tecnico, University of Lisbon, Lisbon, Portugal
| | - Lúcio L Santos
- Surgical ICU of the Portuguese Institute of Oncology, Porto, Portugal; Surgical Oncology Department, IPO-Porto, Porto, Portugal; Experimental Pathology and Therapeutics Group of Portuguese Institute of Oncology of Porto FG, EPE (IPO-Porto), Porto, Portugal
| | - Rafael S Costa
- LAQV-REQUIMTE, DQ, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Campus da Caparica, Caparica, 2829-516, Portugal; IDMEC, Instituto Superior Tecnico, Universidade de Lisboa, Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal.
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