Breast Cancer

Description

This dataset consists of several clinical features observed or measured for 116 participants in a study of breast cancer.

Usage

BreastCancer

Format

Age

Age in years

BMI

Body mass index in kg/m^2

Glucose

Glucose in mg/dL

Insulin

Insulin in \muU/mL

HOMA

Homeostasis model assessment

Classification

Presence of breast cancer (0 if no cancer, 1 if with cancer)

Source

https://bmccancer.biomedcentral.com/articles/10.1186/s12885-017-3877-1

References

Patricio, Miguel, et al. "Using Resistin, glucose, age and BMI to predict the presence of breast cancer", BMC Cancer, (2018).

HP13Cbicarbonate

Description

Data from an experiment made on rats which compares the HP13C bicarbonate signal intensities normalized to the total sum of metabolites and corresponding initial reaction rate as a function of the injected dose of HP1-13C pyruvate. Two groups of rats were compared (i.e. fed and overnight-fasted). Dataset from Can et al. 2022.

Usage

HP13Cbicarbonate

Format

signal

HP13C bicarbonate signal intensities normalized to the total sum of metabolites

dose

initial reaction rate as a function of the injected dose of HP13C pyruvate

group

fed and overnight-fasted

Source

https://www.nature.com/articles/s42003-021-02978-2

Peruvian Blood Pressure

Description

This dataset consists of variables possibly relating to blood pressures of 39 Peruvians who have moved from rural high-altitude areas to urban lower-altitude areas.

Usage

PeruvianBP

Format

Age

Age in years

Years

Years in urban area

Weight

Weight in kg

Height

Height in mm

Chin

Chin skinfold

Forearm

Forearm skinfold

Calf

Calf skinfold

Pulse

Resting pulse rate

Systol

Systolic blood pressure

boxplot_w_points

Description

boxplot_w_points

Usage

boxplot_w_points(
  ...,
  col_points = "#9033FF3F",
  col_boxplot = "#d2d2d2",
  horizontal = FALSE,
  main = "",
  names = NULL,
  las = 0,
  xlab = "",
  ylab = "",
  seed = 123,
  jitter_param = 0.25
)

Arguments

Value

No return value. Plot a boxplot.

Examples

x <- rnorm(20, mean = 5)
y <- rnorm(20, mean = 10)
z <- rnorm(20, mean = 15)
boxplot_w_points(x, main = "test")
boxplot_w_points(x, y, names = c("x", "y"), las = 1, main = "Data")
boxplot_w_points(x, y, z, names = c("x", "y", "z"), horizontal = TRUE, las = 1, main = "Data")
boxplot_w_points(x, y, z, names = c("x", "y", "z"), horizontal = FALSE, las = 1, main = "Data")

Bronchitis

Description

Data collected in a study to assess the effects of smoking and pollution on being diagnosed with bronchitis. This dataset is based on 212 subjects.

Usage

bronchitis

Format

bron

Presence of bronchitis (0 for no and 1 for yes)

cigs

Average daily number of smoked cigarettes

poll

Pollution index

Centenarian Blood Pressure

Description

This dataset consists of variables that are potentially related to blood pressure measurements and contains one group of patients aged between 52 and 89 years old who live in urban areas, and another group of 50 centenarian women aged between 101-121 who live in the island of Okinawa, which is known for its high number of centenarians.The dataset lists the following variables:

Usage

centenarian

Format

Age

Age in years

Chin

Chin skinfold in cm

Forearm

Forearm skinfold in cm

Calf

Calf skinfold in cm

Pulse

Resting pulse rate

BMI

The Body Mass Index (BMI) of the participant

Centenarian

A dummy variable indicating if the participant is Centenarian

Cystol

Systolic blood pressure

codex

Description

This dataset is based on an observational study conducted at Geneva University Hospitals to assess the impact of weight on the pharmacokinetics of dexamethasone in normal-weight versus obese patients hospitalized for COVID-19.

Usage

codex

Format

id

ID of the patient

gender

Gender (0 for men and 1 for women)

age

Age

bmi

Body mass index

weight

Weight in kg

number_doses

Number of doses of the dexamethasone (DEX) drug

tmax

The time it takes for the drug to reach the maximum concentration (i.e. Cmax) after its administration in hours (h)

cmax

The maximum concentration that achieves in the blood after the drug has been administered (ng/m)

t1_2

t1_2 is the time required to decrease the drug concentration within the body by one-half during elimination in hours (h)

auc

The integral (from 0 to 8 hours) of a curve that describes the variation of a drug concentration in the blood as a function of time it takes for a drug to reach the maximum concentration (Cmax) after administration of a drug (ng.h/m)

length_hospital

Number of days the patient were hospitalized

length_intermed

Number of days the patient were hospitalized at the intermediate and intensive care unit

crp

crp

comor_e

Presence of cormobidity type e

comor_p

Presence of cormobidity type p

comor_v

Presence of cormobidity type v

comor_c

Presence of cormobidity type c

comor_r

Presence of cormobidity type r

obese

Indicator variable based on whether the subject is obese (i.e. with BMI > 30), 0 for no and 1 for yes.

Biomarkers in pigs fed with various diets

Description

This dataset contains measured biomarkers in pigs fed with various diets.

Usage

cortisol

Format

A data frame with 61 rows and 9 variables:

id

the id of the pig

group

the diet fed to the pig (chipped diet or non-chipped diet)

gender

the gender of the pig

cortisol

urine costisol in pg/ml

acth

serum acth in pg/ml

crh

serum crh in pg/ml

testosterone

testosterone in ng/ml

lh

LH in ng/ml

caloric

daily caloric intake in kcal

Intensive care admission of COVID-19 patients in Belgium

Description

Data from Parisi, et al., (2021) which studies the applicability of predictive models for intensive care admission of COVID-19 patients in a secondary care hospital in Belgium. This study is based on data of patients admitted to an emergency department with a positive RT-PCR SARS-CoV-2 test.

Usage

covid

Format

A data frame with 64 rows and 5 variables:

icu

admission to an Intensive Care Unit (0 for no, 1 for yes)

sex

sex (men, women)

age

age in years

ldh

lactate dehydrogenase in U/L

spo2

oxygen saturation in percentage

Source

https://jeccm.amegroups.org/article/view/6927/html

References

Parisi, Nicolas, et al. "Non applicability of validated predictive models for intensive care admission and death of COVID-19 patients in a secondary care hospital in Belgium.", Journal of Emergency and Critical Care Medicine, (2021).

COVID-19 Spatial

Description

Data from the COVID-19 Data Hub joined with spatial features for Switzerland.

Usage

data_covid_switzerland_spatial

Format

admin

Country

iso_alpha_3

3-letter code of the country according to the standard ISO 3166-1 Alpha-3

date

Date

confirmed

Cumulative number of confirmed cases

population

Total population

tests

Cumulative number of tests

diff_confirmed

Daily number of confirmed cases

diff_test

Daily number of tests

confirmed_per_pop

Number of daily confirmed cases divided per the country population

confirmed_per_pop_ma

Moving Average applied to confirmed_per_pop with a window of 7 days

geometry

'sf' geometry list of country

Source

https://covid19datahub.io/

Diabetes study in Bangladesh

Description

This dataset contains reports of diabetes symptoms from 520 individuals, encompassing symptoms potentially associated with the condition. It was compiled through a questionnaire aimed at recently diagnosed diabetics or individuals displaying one or more symptoms. Data collection took place via direct questionnaire at Sylhet Diabetes Hospital in Bangladesh.

Usage

diabetes

Format

age

Age of the patient in years

gender

Gender of the patient (Male, Female)

polyuria

Presence of polyuria (excessive urination) (Yes, No)

polydipsia

Presence of polydipsia (excessive thirst) (Yes, No)

sudden_weight_loss

Presence of sudden weight loss (Yes, No)

weakness

Presence of weakness (Yes, No)

polyphagia

Presence of polyphagia (excessive hunger) (Yes, No)

genital_thrush

Presence of genital thrush (Yes, No)

visual_blurring

Presence of visual blurring (Yes, No)

itching

Presence of itching (Yes, No)

irritability

Presence of irritability (Yes, No)

delayed_healing

Presence of delayed healing (Yes, No)

partial_paresis

Presence of partial paresis (Yes, No)

muscle_stiffness

Presence of muscle stiffness (Yes, No)

alopecia

Presence of alopecia (Yes, No)

obesity

Presence of obesity (Yes, No)

class

Diagnosis class (1 if presence of diabetes, 0 otherwise)

Source

https://link.springer.com/chapter/10.1007/978-981-13-8798-2_12

References

Islam, M. M. F., et al. "Likelihood prediction of diabetes at early stage using data mining techniques", Computer vision and machine intelligence in medical image analysis, (2020).

Diet

Description

Diet

Usage

diet

Format

id

ID

gender

Gender (male or female)

age

Age in years

height

Height in m

diet.type

Type of diet (A, B or C)

initial.weight

Initial weight in kg

final.weight

Final weight in kg

Forced Expiratory Volume

Description

This dataset is based on a study conducted in suburban Boston in the late 1970s to investigate the relationship between forced expiratory volume and smoking behavior in 654 youths between the ages of 3 and 19.

Usage

fev

Format

fev

forced expiratory volume or FEV, which measures the amount of air a person can exhale during a forced breath.

age

age in years

sex

gender of the person (0 for males and 1 for females)

height

height in cm

smoke

smoking behavior (0 for non-smokers and 1 for smokers)

hist_compare_to_normal

Description

hist_compare_to_normal

Usage

hist_compare_to_normal(
  x,
  col = "lightgray",
  main = "",
  xlab = "",
  ylab = "",
  lwd_line = 1.5,
  col_line1 = "#ff160e",
  col_line2 = "#335bff",
  add_legend = TRUE,
  legend_position = "topleft",
  delta = 0.2,
  ...
)

Arguments

Value

No return value. Plot a histogram.

Examples

n <- 1000
x <- rnorm(n = n)
hist_compare_to_normal(x)
x2 <- rexp(n, rate = 25)
hist_compare_to_normal(x2, legend_position = "topright")

Kuwait Blood Pressure

Description

This dataset contains a collection of variables believed to be potentially associated with the blood pressure measurements of 213 individuals from Kuwait. The dataset lists the following variables:

Usage

kuwait_bp

Format

age

Age in years

weight

Weight in kg

height

Height in mm

chin

Chin skinfold in cm

forearm

Forearm skinfold in cm

calf

Calf skinfold in cm

pulse

Resting pulse rate

left_handed

Whether or not the participant is left-handed

bmi

The Body Mass Index (BMI) of the participant

systol

Systolic blood pressure

Customer attendance of a pharmacy in Geneva

Description

This dataset contains the number of clients in a pharmacy for each hour over two years.

Usage

pharmacy

Format

A data frame with 17520 rows and 4 variables:

date

the date

hours

the hour of the day

weekday

the week day

attendance

the recorded number of clients

Reading

Description

This dataset is based on the effectiveness of directed reading activities for elementary school students (6-12 years old).

Usage

reading

Format

id

Student id

score

Degree of Reading Power (DRP) test score

age

Age of the students

group

Binary variable indicating whether a student participated to the directed reading activities (Treatment if the student participated, Control otherwise)

Snoring

Description

This dataset is based on a study on the physical and behavioral characteristics of snorers.

Usage

snoring

Format

sex

gender of the person (0 for males and 1 for females)

age

age in years

height

height in cm

weight

weight in kg

smoke

smoking behavior (0 for non-smokers and 1 for smokers)

alcohol

number of glasses drunk per day (in red wine equivalent)

snore

snoring diagnosis (0 for not snoring, 1 for snoring)

Students

Description

Students

Usage

students

Format

day

day

case

case