|
import gradio as gr |
|
import pandas as pd |
|
import numpy as np |
|
|
|
import pickle |
|
import matplotlib.pyplot as plt |
|
|
|
with open(r'./model/00calibrated_clf.pickle', 'rb') as f: |
|
modelcalibration00 = pickle.load(f) |
|
with open(r'./model/28calibrated_clf.pickle', 'rb') as f: |
|
modelcalibration28 = pickle.load(f) |
|
with open(r'./model/60calibrated_clf.pickle', 'rb') as f: |
|
modelcalibration60 = pickle.load(f) |
|
with open(r'./model/90calibrated_clf.pickle', 'rb') as f: |
|
modelcalibration90 = pickle.load(f) |
|
|
|
|
|
def plot_probabilities(probabilities): |
|
plt.figure(figsize=(18, 7)) |
|
plt.xticks([0, 28, 60, 90]) |
|
plt.plot([0, 28, 60, 90], probabilities, marker='o') |
|
plt.xlabel('Days') |
|
plt.ylabel('Probability') |
|
plt.title('Probability Line Chart') |
|
plt.grid(True) |
|
plt.tight_layout() |
|
plt.show() |
|
return plt.gcf() |
|
|
|
def get_risk_category(calibrated_class): |
|
if calibrated_class == 1: |
|
return 'Risks that need attention' |
|
else: |
|
return 'Lower risk' |
|
|
|
def process_input(age_input, height_input, weight_input, lods_input, apache_input, cci_input, oasis_input, saps_input, sofa_input, alp_max, alp_min, alt_max, alt_min, ast_max, ast_min, bilirubin_max, bilirubin_min, bun_max, bun_min, creatinine_max, creatinine_min, glucose_mean, glucose_min, inr_max, inr_min, pt_max, pt_min, ptt_max, ptt_min, wbc_max, wbc_min, platelet_max, platelet_min): |
|
|
|
LODS = lods_input |
|
|
|
admission_age = age_input |
|
alp_max = alp_max |
|
alp_min = alp_min |
|
alt_max = alt_max |
|
alt_min = alt_min |
|
apsiii = apache_input |
|
ast_max = ast_max |
|
ast_min = ast_min |
|
bilirubin_total_max = bilirubin_max |
|
bilirubin_total_min = bilirubin_min |
|
bun_max = bun_max |
|
bun_min = bun_min |
|
charlson_comorbidity_index = cci_input |
|
creatinine_max = creatinine_max |
|
creatinine_min = creatinine_min |
|
glucose_mean = glucose_mean |
|
glucose_min = glucose_min |
|
height = height_input |
|
inr_max = inr_max |
|
inr_min = inr_min |
|
oasis = oasis_input |
|
platelets_max = platelet_max |
|
platelets_min = platelet_min |
|
pt_max = pt_max |
|
pt_min = pt_min |
|
ptt_max = ptt_max |
|
ptt_min = ptt_min |
|
sapsii = saps_input |
|
sofa_24hours = sofa_input |
|
wbc_max = wbc_max |
|
wbc_min = wbc_min |
|
weight = weight_input |
|
|
|
data_28 = np.array([ |
|
[charlson_comorbidity_index, oasis, apsiii, weight, sapsii, ast_max, ast_min, alt_min, admission_age, sofa_24hours, pt_min, LODS, alt_max, wbc_min, bilirubin_total_max, height, wbc_max, inr_min, ptt_min, pt_max, inr_max, creatinine_max] |
|
]) |
|
data_60 = np.array([ |
|
[charlson_comorbidity_index, sofa_24hours, wbc_min, apsiii, sapsii, admission_age, wbc_max, alp_min, weight, height, ast_max, oasis, ptt_max, alt_max, LODS, alt_min, ptt_min, alp_max, pt_min, platelets_max, glucose_min, bilirubin_total_max, bun_max, bun_min, bilirubin_total_min, pt_max] |
|
]) |
|
data_90 = np.array([ |
|
[charlson_comorbidity_index, apsiii, admission_age, sapsii, LODS, sofa_24hours, oasis, wbc_max, height, wbc_min, weight, bun_min, creatinine_max, ptt_min, ptt_max, creatinine_min, glucose_min, glucose_mean, bilirubin_total_max, alt_min, platelets_min, pt_min, alp_min, bun_max, inr_min, alp_max, platelets_max] |
|
]) |
|
data_00 = np.array([ |
|
[oasis, charlson_comorbidity_index, LODS, sofa_24hours, wbc_min, apsiii, sapsii, weight, platelets_min, wbc_max, admission_age, pt_min, alp_min, bun_min, ptt_min, alp_max, inr_min, ast_min] |
|
]) |
|
|
|
|
|
calibrated_prob_28 = modelcalibration28.predict_proba(data_28)[:, 1] |
|
calibrated_class_28 = modelcalibration28.predict(data_28)[0] |
|
|
|
calibrated_prob_60 = modelcalibration60.predict_proba(data_60)[:, 1] |
|
calibrated_class_60 = modelcalibration60.predict(data_60)[0] |
|
|
|
calibrated_prob_90 = modelcalibration90.predict_proba(data_90)[:, 1] |
|
calibrated_class_90 = modelcalibration90.predict(data_90)[0] |
|
|
|
calibrated_prob_00 = modelcalibration00.predict_proba(data_00)[:, 1] |
|
calibrated_class_00 = modelcalibration00.predict(data_00)[0] |
|
|
|
probabilities = [calibrated_prob_00, calibrated_prob_28, calibrated_prob_60, calibrated_prob_90] |
|
output_plot = plot_probabilities(probabilities) |
|
|
|
risk_category_00 = get_risk_category(calibrated_class_00) |
|
risk_category_28 = get_risk_category(calibrated_class_28) |
|
risk_category_60 = get_risk_category(calibrated_class_60) |
|
risk_category_90 = get_risk_category(calibrated_class_90) |
|
|
|
return risk_category_00, risk_category_28, risk_category_60, risk_category_90, output_plot |
|
|
|
|
|
|
|
with gr.Blocks() as demo: |
|
with gr.Row(): |
|
gr.Markdown('# Prediction of Death Events in ICU Patients with DVT &Diabetes') |
|
with gr.Row(): |
|
with gr.Column(): |
|
gr.Markdown('## Basic Information') |
|
|
|
age_input = gr.Number(label="admission_age", step=1) |
|
height_input = gr.Number(label="Height (cm)", step=0.1) |
|
weight_input = gr.Number(label="Weight (kg)", step=0.1) |
|
|
|
|
|
gr.Markdown("## Clinical Scoring Section") |
|
lods_input = gr.Number(label="LODS (Logistic Organ Dysfunction Score)", step=0.1) |
|
apache_input = gr.Number(label="APACHE III (Acute Physiology and Chronic Health Evaluation III)", step=0.1) |
|
cci_input = gr.Number(label="CCI (Charlson Comorbidity Index)", step=0.1) |
|
oasis_input = gr.Number(label="OASIS (Oxford Acute Severity of Illness Score)", step=0.1) |
|
saps_input = gr.Number(label="SAPS II (Simplified Acute Physiology Score II)", step=0.1) |
|
sofa_input = gr.Number(label="SOFA (Sequential Organ Failure Assessment, 24hr average)", step=0.1) |
|
|
|
gr.Markdown("## Laboratory indicators on the first day") |
|
|
|
gr.Markdown("### Hematologic Tests") |
|
|
|
|
|
gr.Markdown("#### White Blood Cell Count (WBC) (10^9/L)") |
|
wbc_max = gr.Number(label="Max") |
|
wbc_min = gr.Number(label="Min") |
|
|
|
|
|
gr.Markdown("#### Platelet Count (10^9/L)") |
|
platelet_max = gr.Number(label="Max") |
|
platelet_min = gr.Number(label="Min") |
|
with gr.Column(): |
|
|
|
gr.Markdown("### Liver Function Tests") |
|
|
|
gr.Markdown("#### Alkaline Phosphatase (ALP) (U/L)") |
|
alp_max = gr.Number(label="Max") |
|
alp_min = gr.Number(label="Min") |
|
|
|
gr.Markdown("#### Alanine Aminotransferase (ALT) (U/L)") |
|
alt_max = gr.Number(label="Max") |
|
alt_min = gr.Number(label="Min") |
|
|
|
gr.Markdown("#### Aspartate Aminotransferase (AST) (U/L)") |
|
ast_max = gr.Number(label="Max") |
|
ast_min = gr.Number(label="Min") |
|
|
|
gr.Markdown("#### Total Bilirubin (mg/dL)") |
|
bilirubin_max = gr.Number(label="Max") |
|
bilirubin_min = gr.Number(label="Min") |
|
|
|
|
|
gr.Markdown("### Renal Function Tests") |
|
|
|
|
|
gr.Markdown("#### Blood Urea Nitrogen (BUN) (mg/dL)") |
|
bun_max = gr.Number(label="Max") |
|
bun_min = gr.Number(label="Min") |
|
with gr.Column(): |
|
|
|
gr.Markdown("#### Creatinine (mg/dL)") |
|
creatinine_max = gr.Number(label="Max") |
|
creatinine_min = gr.Number(label="Min") |
|
|
|
|
|
gr.Markdown("### Glucose Levels") |
|
|
|
gr.Markdown("#### Glucose (mg/dL)") |
|
glucose_mean = gr.Number(label="Mean") |
|
glucose_min = gr.Number(label="Min") |
|
|
|
|
|
gr.Markdown("### Coagulation Tests") |
|
|
|
gr.Markdown("#### International Normalized Ratio (INR) (ratio)") |
|
inr_max = gr.Number(label="Max") |
|
inr_min = gr.Number(label="Min") |
|
|
|
gr.Markdown("#### Prothrombin Time (PT) (seconds)") |
|
pt_max = gr.Number(label="Max") |
|
pt_min = gr.Number(label="Min") |
|
|
|
gr.Markdown("#### Partial Thromboplastin Time (PTT) (seconds)") |
|
ptt_max = gr.Number(label="Max") |
|
ptt_min = gr.Number(label="Min") |
|
with gr.Row(): |
|
submit_button = gr.Button("Submit") |
|
|
|
with gr.Row(): |
|
gr.Markdown("## Risk Prediction Results") |
|
with gr.Row(): |
|
risk_category_00 = gr.Label(label="00-day Prediction Category") |
|
|
|
risk_category_28 = gr.Label(label="28-day Prediction Category") |
|
|
|
risk_category_60 = gr.Label(label="60-day Prediction Category") |
|
|
|
risk_category_90 = gr.Label(label="90-day Prediction Category") |
|
|
|
with gr.Row(): |
|
output_plot = gr.Plot(label="Probability Line Chart") |
|
|
|
|
|
submit_button.click( |
|
process_input, |
|
inputs=[ |
|
age_input, height_input, weight_input, |
|
|
|
lods_input, apache_input, cci_input, oasis_input, saps_input, sofa_input, |
|
wbc_max, wbc_min, platelet_max, platelet_min, |
|
alp_max, alp_min, alt_max, alt_min, ast_max, ast_min, bilirubin_max, bilirubin_min, |
|
bun_max, bun_min, creatinine_max, creatinine_min, |
|
glucose_mean, glucose_min, |
|
inr_max, inr_min, pt_max, pt_min, ptt_max, ptt_min |
|
], |
|
outputs=[ |
|
risk_category_00, |
|
risk_category_28, |
|
risk_category_60, |
|
risk_category_90, |
|
output_plot |
|
] |
|
) |
|
|
|
demo.launch(share=True) |
