Prior to conducting a brain death exam, what factors must be considered? A. The family members agreed for the brain death determination exam to be started B. The patient's Core temperature >must be 36 oC C. No paralytics or sedatives have been given within 24 hours. D. The patient's GCS must be < 8

What Medical Imaging Examinations are use for Brain Death Determination? A. Radionuclide Imaging of the brain B. All of the above C. Cerebral Angiography (4 vessels) of the brain D. Computed Tomography of the brain E. Magnetic Resonance Imaging of the brain

The following reflexes are evaluated during the clinical brain death determination process (multiple answers): A. Gag reflex B. Cough reflex C. Spinal Cord reflex D. Blinking of eyelids

examination of brain structures to detect damage areas assumed to be responsible for behavioral conditions that existed be for the person died

The legal definition of death by neurologic criteria includes A. Cessation of cardiac and pulmonary function B. Irreversible loss of all functions of the brain C. Irreversible loss of all functions of the brain excluding brainstem D. Loss of all functions of the brainstem

Perform medical data analysis by creating statistical tests on a given data set.Medical data analysisIn this assignment, you will perform medical data analysis by creating statistical tests on a given data set. You will check which variables are potentially a cause of a patient's death.1. For categorical variables, you should perform the chi-squared test of independence between each categorical variable and death variable. Treat variables as categorical if dtype is int64.2. For numerical variables, perform two Shapiro–Wilk tests: one for each sample that was created by splitting the data by death variable.2.1. If p-values from Shapiro–Wilk tests indicate that both samples have a normal distribution (p-values greater than 0.05), perform the unpaired t-test with the parameter equal_var = False.2.2. Otherwise perform the Mann-Whitney U test.RequirementsImplement a function perform_tests which accepts one argument:data: a pandas DataFrame consisting of the following columns: death (an indicator of whether a patient died less than a year after the operation) and 17 other variables (either categorical or numerical) describing health condition after operation and taken medicaments.The function returns a dictionary with the following four keys:mann_whitney, ttest, chi_square: each of these consists of a list of tuples with (variable name, p-value from the corresponding test). For chi_square, these should be categorical variables; for mann_whitney, numerical variables that don't have a normal distribution; and for ttest, numerical variables with a normal distribution.shapiro_wilk: a list of tuples with (variable name, (p-value for sample with deaths=0, p-value for sample with deaths=1)). These should be all numerical variables.Round all p-values in the output to four decimal places.ExampleWith data limited to the following columns:example_data = data[["death", "Na+", "DBP", "PLT", "ivabradine", "MRA"]]so that example_data.head() looks as follows: death Na+ DBP PLT ivabradine MRA0 0 136.0 126.0 196.0 1 01 0 147.0 108.0 245.0 0 12 0 133.0 109.0 219.0 0 13 0 150.0 114.0 294.0 1 04 0 151.0 95.0 293.0 0 1the function perform_tests(example_data) will return:{'mann_whitney': [('Na+', 0.2143)], 'ttest': [('DBP', 0.0), ('PLT', 0.4739)], 'chi_square': [('ivabradine', 0.0144), ('MRA', 0.2884)], 'shapiro_wilk': [('Na+', (0.0, 0.0071)), ('PLT', (0.2361, 0.6935)), ('DBP', (0.5272, 0.3715))]}HintsUse the scipy.stats package to perform all tests.In addition to the Python 3.8 standard library you can use SciPy 1.5.2.If you would like to access CSV data sets locally you can download zipped files.