def calc_risk_score_infection(*argv):
language = argv[0]
default = html.H4(languages["results_card_infection"][language][0],
className="score-calculator-card-content-infection"),
submit = argv[1]
labs = argv[2]
feats = argv[3:-1]
temp_unit = argv[-1]
if not labs and oxygen_in_infec:
feats = switch_oxygen(feats, oxygen_infec_ind)
#if submit button was clicked
if submit > 0:
x = feats
if labs:
valid, err, x = valid_input(labs_features["numeric"], x[0],
len(labs_features["numeric"]),
language)
else:
valid, err, x = valid_input(no_labs_features["numeric"], x[0],
len(no_labs_features["numeric"]),
language)
if valid:
if labs:
score, imputed, fig = predict_risk_infec(
labs_cols, labs_model, labs_features, labs_imputer,
labs_explainer, x, temp_unit,
languages["results_card_infection"][language],
language)
else:
score, imputed, fig = predict_risk_infec(
no_labs_cols, no_labs_model, no_labs_features,
no_labs_imputer, no_labs_explainer, x, temp_unit,
languages["results_card_infection"][language],
language)
if fig:
image = display_fig_infec(fig)
else:
image = ''
return score, '', imputed, image, {
"height": 200
}, languages["visual_1"][language]
else:
return default, err, '', '', {}, ''
#user has not clicked submit
return default, '', '', '', {}, ''
def valid_input_mort(labs, feature_vals, language):
if labs:
features = labs_features_mort
imputer = labs_imputer_mort
else:
features = no_labs_features_mort
imputer = no_labs_imputer_mort
length = len(features["numeric"])
return valid_input(features["numeric"], feature_vals[0], length, language)
def valid_input_infec(labs, feature_vals, language):
if labs:
with open('assets/risk_calculators/infection/labs_imputer.pkl',
'rb') as file:
imputer_pickle = pickle.load(file)
with open('assets/risk_calculators/infection/labs_json.pkl',
'rb') as file:
features_pickle = pickle.load(file)
else:
with open('assets/risk_calculators/infection/without_labs_imputer.pkl',
'rb') as file:
imputer_pickle = pickle.load(file)
with open('assets/risk_calculators/infection/without_labs_json.pkl',
'rb') as file:
features_pickle = pickle.load(file)
features = features_pickle["json"]
imputer = imputer_pickle["imputer"]
length = len(features["numeric"])
return valid_input(features["numeric"], feature_vals[0], length, language)