'Pregnant 1st quarter':'PREG1',
'Pregnant 2nd quarter':'PREG2',
'Pregnant 3rd quarter':'PREG3',
'Post-pregancy':'PREGPOST'
}
result = [html.Br(),html.B('Result:'),html.Div('Input the patient profile...')]
parameters = [
("Patient profile",[
('stage',stage,gui_utils.Button.radio,'positive test'),
('age','67',gui_utils.Button.input,None),
('gender',['male','female'],gui_utils.Button.radio,'male')]),
("Clinical history",[('comorbidities',comorbidities.keys(),gui_utils.Button.multidrop,['Cancer','Diabetes','Hepatic disease'])])]
layout = gui_utils.get_layout(pagetitle,parameters,[('result',result,gui_utils.Button.html)])
models_path = "./calc_models/"
files = ["calc_hosp_recall", "calc_hosp_f1", "calc_ic1_recall", "calc_ic1_f1", "calc_ic2_recall", "calc_ic2_f1",
"calc_out1_recall", "calc_out1_f1", "calc_out2_recall", "calc_out2_f1", "calc_out3_recall", "calc_out3_f1",
"calc_rs_recall", "calc_rs_f1"]
classifiers = []
for file in files:
filename = models_path + file + ".sav"
clf = pickle.load(open(filename, 'rb'))
classifiers.append(clf)
target_dict = {"Hosp": {"phrase": ("need hospitalization","needing"), "classifiers": (classifiers[0], classifiers[1])},
"IC1": {"phrase": ("need intensive care","needing"), "classifiers": (classifiers[2], classifiers[3])},
'humidade',
'intensidade_vento',
'prec_acumulada',
'pressao',
'radiacao'
]
parameters = [
('nan', '10', gui_utils.Button.input_hidden),
('csv_file_upload', '', gui_utils.Button.upload),
('csv_file_path', '', gui_utils.Button.input_hidden)
]
charts = [
('results_container', gui_utils.get_null_label(), gui_utils.Button.html, True)
]
layout = gui_utils.get_layout(pagetitle, [('parameters', 55, parameters)], charts, prefix=prefix)
def get_graph(fig, title=None):
children = []
if title is not None:
children.append(html.Div([html.H3(title, style={'marginBottom': 0})], style={'textAlign': "center"}))
children.append(dcc.Graph(figure=fig))
return html.Div(children)
def get_state_field(field: str, accessor: str = 'value', prefix: str = '', type=None):
states = dash.callback_context.states
pagetitle = 'Biclustering'
prefix = 'padroes_rodovia_from_file'
parameters = [('nan', '10', gui_utils.Button.input_hidden),
('csv_file_upload', '', gui_utils.Button.upload),
('csv_file_path', '', gui_utils.Button.input_hidden),
('method', 'biclustering', gui_utils.Button.input_hidden),
('dataset', ['waze', 'espiras',
'integrative'], gui_utils.Button.radio),
('attributes', [''], gui_utils.Button.multidrop)]
charts = [('results_container', gui_utils.get_null_label(),
gui_utils.Button.html, True)]
layout = gui_utils.get_layout(
pagetitle,
[('parameters', 27, parameters),
('method_parameters', 27, get_all_method_params(), 'empty_box')],
charts,
prefix=prefix)
def get_graph(fig, title=None):
children = []
if title is not None:
children.append(
html.Div([html.H3(title, style={'marginBottom': 0})],
style={'textAlign': "center"}))
children.append(dcc.Graph(figure=fig))
return html.Div(children)
'real_chart', 'discrete_chart', 'real_heatmap', 'discrete_heatmap'
]
method_parameters = {
'biclustering_main':
parameters_to_iluapp_layout(bicpams_parameters['main']) +
[('biclusters_plot', bics_plot_types, gui_utils.Button.radio),
('biclusters', default_biclusters_options, gui_utils.Button.multidrop),
('biclusters_cache', '', gui_utils.Button.input_hidden)],
'biclustering_optional':
parameters_to_iluapp_layout(bicpams_parameters['optional'])
}
layout = gui_utils.get_layout(pagetitle, [
('parameters', 27, parameters),
('selection_map', 27, [('lisbon_map', embed_map(
get_map(), prefix), gui_utils.Button.html)]),
('method_parameters', 27, get_all_method_params(), 'empty_box'),
],
charts,
prefix=prefix)
def get_state_field(field: str,
accessor: str = 'value',
prefix: str = '',
type=None):
states = dash.callback_context.states
value = states['{}{}.{}'.format(prefix, field, accessor)]
if type:
if type == dict:
try:
value = eval(value)
('end_hour', '23:59', gui_utils.Button.input),
('dataset', ['waze', 'espiras', 'integrative'], gui_utils.Button.radio),
('method', ['two_step_regression'], gui_utils.Button.radio),
('attributes', ['all'], gui_utils.Button.multidrop),
('geo_json', '', gui_utils.Button.input_hidden),
('series_cache', '', gui_utils.Button.input_hidden),
('meteo_series_cache', '', gui_utils.Button.input_hidden)
]
charts = [
('speed_series', gui_utils.get_null_label(), gui_utils.Button.html, True),
('time_point_series', gui_utils.get_null_label(), gui_utils.Button.html, True),
('prediction', gui_utils.get_null_label(), gui_utils.Button.html, True)
]
layout = gui_utils.get_layout(pagetitle, [('parameters', 27, parameters),
('selection_map', 27, [('lisbon_map', embed_map(get_map(), prefix),
gui_utils.Button.html)])], charts, prefix=prefix)
def get_state_field(field: str, accessor: str = 'value', prefix: str = '', type=None):
states = dash.callback_context.states
value = states['{}{}.{}'.format(prefix, field, accessor)]
if type:
if type == dict:
try:
value = eval(value)
except:
return None
else:
value = type(value)
return value