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DOMINGOS ALVES
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Linhas de pesquisa e interesse atual
Atuando principalmente nas seguintes áreas: 1. Sistemas de Apoio a Decisão em Saúde Pública Baseados em Evidências; 2. Inteligência em Saúde no contexto da e-Saúde; 3. Informática em Saúde Pública; |
Produções de destaque
1. Felix Hector Rigoli; Sergio Mascarenhas; Domingos Alves; Tiago Canelas; Geraldo Duarte. Tracking Pregnant Women Displacements in Sao Paulo, Brazil: A Complex Systems Approach to Regionalization through the Emergence of Patterns. BMC Medicine (2019) 17: 184. 2. OLADAPO, OLUFEMI T.;… Alves, Domingos;…; GÜLMEZOGLU, A. METIN. Progression of the first stage of spontaneous labour: A prospective cohort study in two sub-Saharan African countries. PLOS MEDICINE. , v.15, p.e1002492 – , 2018. 3. Miyoshi NSB, Azevedo-Marques JMD, Alves D, Azevedo-Marques PMD. An eHealth Platform for the Support of a Brazilian Regional Network of Mental Health Care (eHealth Interop): Development of an Interoperability Platform for Mental Care Integration. JMIR Ment Health 2018 (Dec 07);5(4): e10129. 4. YOSHIURA, VINICIUS TOHORU ; DE AZEVEDO-MARQUES, JOÃO MAZZONCINI ; RZEWUSKA, MAGDALENA ; VINCI, ANDRÉ LUIZ TEIXEIRA ; SASSO, ARIANE MORASSI ; MIYOSHI, NEWTON SHYDEO BRANDÃO ; FUREGATO, ANTONIA REGINA FERREIRA ; RIJO, RUI PEDRO CHARTERS LOPES ; DEL-BEN, CRISTINA MARTA ; Alves, Domingos . A web-based information system for a regional public mental healthcare service network in Brazil. International Journal of Mental Health System, v. 11, p. 1-10, 2017. 5. PELLISON, FELIPE CARVALHO ; LOPES RIJO, RUI PEDRO CHARTERS ; LIMA, VINÍCIUS COSTA ; DE LIMA, RICARDO ROBERTO ; MARTINHO, RICARDO ; CRUZ CORREIA, RICARDO JOÃO ; Alves, Domingos . Development and evaluation of an interoperable system based on the semantic web to enhance the management of patients? tuberculosis data. PROCEDIA COMPUTER SCIENCE, v. 121, p. 791-796, 2017. 6. Hummel, A.D. ; Maciel, R.F. ; Sousa, F.S. ; Cohrs, F.M. ; Falcão, A.E.J. ; Teixeira, F. ; Baptista, R. ; Mancini, F. ; da Costa, T.M. ; ALVES, D. ; Rodrigues, R.G.D.S. ; Miranda, R. ; Pisa, I.T. . Artificial Intelligence Techniques: Predicting Necessity for Biopsy in Renal Transplant Recipients Suspected of Acute Cellular Rejection or Nephrotoxicity. TransplantationProceedings, v. 43, p. 1343-1344, 2011. 7. GAGLIARDI, H. F.; ALVES, D. . Small-World Effect in Epidemics Using Cellular Automata. Mathematical Population Studies v. 17, p. 79-90, 2010. 8. ALVES, D.; V. J. Hass ; A. Caliri. The Predictive Power of R0 in an Epidemic Probabilistic System. Journal of Biological Physics (Print), v. 29, n.issue 1, p. 63-75, 2003 |