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app.R
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app.R
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library(fresh)
mytheme <- create_theme(
adminlte_color(
light_blue = "#434C5E"
),
adminlte_sidebar(
width = "400px",
dark_bg = "#D8DEE9",
dark_hover_bg = "#81A1C1",
dark_color = "#2E3440"
),
adminlte_global(
content_bg = "#FFF",
box_bg = "#D8DEE9",
info_box_bg = "#D8DEE9"
)
)
library(shiny)
library(shinydashboard)
library(tidymodels)
library(tidyverse)
library(ranger)
model <- readr::read_rds("model.rds")
ui <- dashboardPage(
dashboardHeader(title = "Functional Impairment Risk Calculator"),
dashboardSidebar(
menuItem(
"Functional Impairment",
tabName = "func_tab"
),
disable = TRUE
),
dashboardBody(
use_theme(mytheme),
tags$head(tags$style(HTML(
'.abovetext {
line-height: 20px;
text-align: center;
font-family: "Arial";
padding: 0 15px;
color: white;
font-size: 1em;
}
@media (min-width: 1200px) {
.myClass {
line-height: 20px;
text-align: center;
font-family: "Arial";
padding: 0 15px;
color: white;
font-size: x-large
}
}
'))),
tags$script(HTML('
$(document).ready(function() {
$("header").find("nav").append(\'<span class="abovetext">Authors: Kyara Rodrigues Aguiar, Bruno Braga Montezano, Jacson Gabriel Feiten, Karen Jansen, Ives Cavalcante Passos.<br> This application should only be used for educational and research purposes.</span>\');
})
')),
tabItem(
tabName = "func_tab",
box(valueBoxOutput("func_prediction")),
box(selectInput("abep3_t1",
label = "Socioeconomic Status",
choices = list("Upper" = "X1", "Middle" = "X2", "Lower" = "X3"))),
box(selectInput("estano_t1",
label = "Currently studying",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("religdic_t1",
label = "Has a religion",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("escol_t1",
label = "Education",
choices = list("Incomplete high school" = "X1",
"Complete high school" = "X2",
"Complete higher education" = "X3"))),
box(selectInput("pais_doencapsi",
label = "Parental psychiatric disease",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("medpsi",
label = "Psychiatric medication",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("internacao_vida",
label = "Lifetime psychiatric hospitalization",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("trabatu_t1",
label = "Currently working",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("trat_t1",
label = "Psychological or psychiatric treatment",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("interr_t1",
label = "Interrupted treatment before completion",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("pais_faleceu",
label = "Parents passed away",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("aldtenta_t1",
label = "Knows someone who tried suicide",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("distat_t1",
label = "Current dysthymia",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("agoraat_t1",
label = "Current agoraphobia",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("fobsoa_t1",
label = "Current social anxiety disorder",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("panico_lifetime",
label = "Lifetime panic disorder",
choices = list("No" = "X0", "Yes" = "X1"))),
box(selectInput("srq3_t1",
label = "SRQ Item 3",
choices = list("No" = "X0", "Yes" = "X1"))),
box(sliderInput("somabdi_t1",
label = "Beck Depression Inventory score",
min = 0, max = 100, value = 10)),
box(sliderInput("somasrq_t1",
label = "Self-Regulation Questionnaire score",
min = 0, max = 100, value = 10)),
box(sliderInput("abuso_emocional",
label = "Emotional abuse CTQ domain score",
min = 0, max = 100, value = 10)),
box(sliderInput("abuso_fisico",
label = "Physical abuse CTQ domain score",
min = 0, max = 100, value = 10)),
box(sliderInput("abuso_sexual",
label = "Sexual abuse CTQ domain score",
min = 0, max = 100, value = 10)),
box(sliderInput("neg_emocional",
label = "Emotional neglect CTQ domain score",
min = 0, max = 100, value = 10)),
box(sliderInput("neg_fisica",
label = "Physical neglect CTQ domain score",
min = 0, max = 100, value = 10)),
box(selectInput("any_ilicit_drug",
label = "Any illicit drug use",
choices = list("No" = "No", "Yes" = "Yes")))
)
)
)
server <- function(input, output) {
output$func_prediction <- renderValueBox({
prediction <- predict(
model,
tibble("abep3_t1" = input$abep3_t1,
"estano_t1" = input$estano_t1,
"religdic_t1" = input$religdic_t1,
"escol_t1" = input$escol_t1,
"pais_doencapsi" = input$pais_doencapsi,
"medpsi" = input$medpsi,
"internacao_vida" = input$internacao_vida,
"trabatu_t1" = input$trabatu_t1,
"trat_t1" = input$trat_t1,
"interr_t1" = input$interr_t1,
"pais_faleceu" = input$pais_faleceu,
"aldtenta_t1" = input$aldtenta_t1,
"distat_t1" = input$distat_t1,
"agoraat_t1" = input$agoraat_t1,
"fobsoa_t1" = input$fobsoa_t1,
"panico_lifetime" = input$panico_lifetime,
"srq3_t1" = input$srq3_t1,
"somabdi_t1" = input$somabdi_t1,
"somasrq_t1" = input$somasrq_t1,
"abuso_emocional" = input$abuso_emocional,
"abuso_fisico" = input$abuso_fisico,
"abuso_sexual" = input$abuso_sexual,
"neg_emocional" = input$neg_emocional,
"neg_fisica" = input$neg_fisica,
"any_ilicit_drug" = input$any_ilicit_drug)
)
prediction_prob <- predict(
model,
tibble("abep3_t1" = input$abep3_t1,
"estano_t1" = input$estano_t1,
"religdic_t1" = input$religdic_t1,
"escol_t1" = input$escol_t1,
"pais_doencapsi" = input$pais_doencapsi,
"medpsi" = input$medpsi,
"internacao_vida" = input$internacao_vida,
"trabatu_t1" = input$trabatu_t1,
"trat_t1" = input$trat_t1,
"interr_t1" = input$interr_t1,
"pais_faleceu" = input$pais_faleceu,
"aldtenta_t1" = input$aldtenta_t1,
"distat_t1" = input$distat_t1,
"agoraat_t1" = input$agoraat_t1,
"fobsoa_t1" = input$fobsoa_t1,
"panico_lifetime" = input$panico_lifetime,
"srq3_t1" = input$srq3_t1,
"somabdi_t1" = input$somabdi_t1,
"somasrq_t1" = input$somasrq_t1,
"abuso_emocional" = input$abuso_emocional,
"abuso_fisico" = input$abuso_fisico,
"abuso_sexual" = input$abuso_sexual,
"neg_emocional" = input$neg_emocional,
"neg_fisica" = input$neg_fisica,
"any_ilicit_drug" = input$any_ilicit_drug),
type = "prob"
) %>%
gather() %>%
arrange(desc(value)) %>%
slice(1) %>%
select(value)
prediction_color <- if_else(prediction$.pred_class == "Yes", "red", "green")
valueBox(
value = paste0(round(100*prediction_prob$value, 0), "%"),
subtitle = paste0("Functional impairment: ", prediction$.pred_class),
color = prediction_color
)
})
}
shinyApp(ui, server)