Publications by Ismael calandri
Sustain
1. Descriptives of train set Here, I will try to analyze the meaning of the clusters found. 1.a Clasification 1.3 Asymmetry There doesn’t seem to be much asymmetry… Question for Rik: Could we be wasting computing power with so many regions? Clinical features For this I only used the training subjects on their first MRI, in order to compar...
1367 sym R (60114 sym/81 pcs) 19 img 1 tbl
sustain
1. Descriptives of train set Here, I will try to analyze the meaning of the clusters found. 1.a Clasification library(readr) library(tidyverse) library(caret) library(emmeans) train_subtypes <- read_csv("data_validation/train_subtypes.csv") train_subtypes <- train_subtypes %>% mutate(ml_subtype = ml_subtype+1) %>% mutate( poor_fi...
1394 sym R (80997 sym/106 pcs) 19 img 1 tbl
late 2
library(haven) LATElong <- read_sav("LATElong.sav") lat2<-read_sav("ROC.sav") Section 1, uncorrected Hippocampus library(cutpointr) ## Warning: package 'cutpointr' was built under R version 4.4.3 hip<-LATElong %>% filter(region_type==1) set.seed(5620) opt_cut_h <- cutpointr(data=hip, MRI, LATE_status, direction = "<="...
166 sym R (14237 sym/65 pcs)
hipertension
library(readxl) library(gtsummary) ## #Uighur library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.4 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.1 ## ✔ ggplot2 3.5.0 ✔ tibble 3.2.1 ...
28 sym R (2890 sym/15 pcs) 1 img 3 tbl
AUC LATE
#data load ########## LATElong <- read_sav("Data/LATElong.sav") Step 1: Estimate the optimal cutoff for hippocampal volume. hip<-LATElong %>% filter(region_type==1) We use a bootstrapping method with 1,000 samples. To determine the optimal cutoff, we maximize the Youden index, which combines sensitivity and specificity. set.seed(5620) opt_cut_...
792 sym R (9250 sym/49 pcs) 3 img
comunalities_brazil_draft
General communalities Correlation basecom<-elsi %>% select(less_education, hearing_loss, high_cholesterol, depression, physical_inactivity, smoking, diabetes, hypertension, obesity, exc_alcohol, social_isolation, air_pollution, ...
395 sym R (16029 sym/48 pcs) 1 img 14 tbl
comunalities_brazil
data origin and preparation library(readr) elsi <- read_csv("elsi.csv") ## Rows: 9412 Columns: 17 ## ── Column specification ──────────────────────────────────────────────────────── ## Delimiter: "," ## chr (2): homem, e9 ## dbl...
124 sym R (6528 sym/15 pcs) 5 tbl
TGAtime
2024-07-04 Analisis AGT/Stroke time Seccion 1: AGT Orden Hay un patron temporal-circadiano para AGT? Ese patron temporal depende del ciclo luminico? Hay un patron temporal estacional? Hay distintos patrones para distintos triggers? Patron temporal circadiano - circularplot Patron temporal circadiano - deteccion modal Patron temporal circadiano...
3317 sym 21 img 2 tbl
Document
Burnout_2 library(tidyverse) ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ✔ dplyr 1.1.4 ✔ readr 2.1.4 ✔ forcats 1.0.0 ✔ stringr 1.5.1 ✔ ggplot2 3.5.0 ✔ tibble 3.2.1 ✔ lubridate 1.9.3 ✔ tidyr 1.3.0 �...
315 sym 3 img 15 tbl
burnout general
Burnout library(tidyverse) ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ✔ dplyr 1.1.4 ✔ readr 2.1.4 ✔ forcats 1.0.0 ✔ stringr 1.5.1 ✔ ggplot2 3.5.0 ✔ tibble 3.2.1 ✔ lubridate 1.9.3 ✔ tidyr 1.3.0 ✔...
514 sym Python (15420 sym/29 pcs) 7 img 6 tbl