Paloma Maria Silva Rocha Rizol
Biographic Data
| ID | 3679852 |
|---|---|
| NAME | Paloma Maria Silva Rocha Rizol |
| GIVEN NAMES | Paloma Maria Silva Rocha |
| FAMILY NAME | Rizol |
| SIGNATURE | RIZOL P M S R |
| AFFILIATIONS | Universidade Estadual Paulista (Unesp) |
| ORCID | 0000-0001-5246-4438 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 1 |
Fuzzy logic and hospital admission due to respiratory diseases using estimated values by mathematical model
Hospitalizations due to respiratory diseases generate financial costs for the Health System in addition to social costs. Objective of this study was to develop and validate a fuzzy linguistic model for prediction of hospitalization due to respiratory diseases. We constructed a fuzzy model for prediction of hospitalizations due to pneumonia, bronchitis, bronchiolitis and asthma second exposure to fine particulate matter (PM2.5) in residents of Vol…
Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution
OBJECTIVE Predict the number of hospitalizations for asthma and pneumonia associated with exposure to air pollutants in the city of São José dos Campos, São Paulo State. METHODS This is a computational model using fuzzy logic based on Mamdani’s inference method. For the fuzzification of the input variables of particulate matter, ozone, sulfur dioxide and apparent temperature, we considered two relevancy functions for each variable with the lingui…
Modelo fuzzy estimando tempo de internação por doenças cardiovasculares
Para prever o tempo médio de internações por doenças cardiovasculares relacionadas à exposição de poluentes do ar em São José dos Campos (SP), em 2009, foi construído um modelo linguístico fuzzy, baseado no método de Mamdani, com variáveis de entrada: material particulado, dióxido de enxofre, temperatura e vento, obtidos da CETESB, com duas funções de pertinência cada. A variável de saída é o tempo médio de internações, obtido do Datasus, com sei…
Establishing the risk of neonatal mortality using a fuzzy predictive model
The objective of this study was to develop a fuzzy model to estimate the possibility of neonatal mortality. A computing model was built, based on the fuzziness of the following variables: newborn birth weight, gestational age at delivery, Apgar score, and previous report of stillbirth. The inference used was Mamdani's method and the output was the risk of neonatal death given as a percentage. 24 rules were created according to the inputs. The val…
Establishing the risk of neonatal mortality using a fuzzy predictive model
The objective of this study was to develop a fuzzy model to estimate the possibility of neonatal mortality. A computing model was built, based on the fuzziness of the following variables: newborn birth weight, gestational age at delivery, Apgar score, and previous report of stillbirth. The inference used was Mamdani's method and the output was the risk of neonatal death given as a percentage. 24 rules were created according to the inputs. The val…
Establishing the risk of neonatal mortality using a fuzzy predictive model
The objective of this study was to develop a fuzzy model to estimate the possibility of neonatal mortality. A computing model was built, based on the fuzziness of the following variables: newborn birth weight, gestational age at delivery, Apgar score, and previous report of stillbirth. The inference used was Mamdani's method and the output was the risk of neonatal death given as a percentage. 24 rules were created according to the inputs. The val…
Modelo fuzzy estimando tempo de internação por doenças cardiovasculares
Para prever o tempo médio de internações por doenças cardiovasculares relacionadas à exposição de poluentes do ar em São José dos Campos (SP), em 2009, foi construído um modelo linguístico fuzzy, baseado no método de Mamdani, com variáveis de entrada: material particulado, dióxido de enxofre, temperatura e vento, obtidos da CETESB, com duas funções de pertinência cada. A variável de saída é o tempo médio de internações, obtido do Datasus, com sei…
Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution
OBJECTIVE Predict the number of hospitalizations for asthma and pneumonia associated with exposure to air pollutants in the city of São José dos Campos, São Paulo State. METHODS This is a computational model using fuzzy logic based on Mamdani’s inference method. For the fuzzification of the input variables of particulate matter, ozone, sulfur dioxide and apparent temperature, we considered two relevancy functions for each variable with the lingui…
Fuzzy logic and hospital admission due to respiratory diseases using estimated values by mathematical model
Hospitalizations due to respiratory diseases generate financial costs for the Health System in addition to social costs. Objective of this study was to develop and validate a fuzzy linguistic model for prediction of hospitalization due to respiratory diseases. We constructed a fuzzy model for prediction of hospitalizations due to pneumonia, bronchitis, bronchiolitis and asthma second exposure to fine particulate matter (PM2.5) in residents of Vol…
Artificial Intelligence (4 works) · Computer Science (4 works) · Fuzzy logic (4 works) · Medicine (4 works) · Air Quality and Health Impacts (3 works) · Air Quality Monitoring and Forecasting (3 works) · Internal Medicine (3 works) · Mathematics (3 works) · Statistics (3 works) · Air pollutants (2 works)