description

view.py

@@ -1,56 +1,55 @@
-# Gradio
-examples = [
-    [
-        [['1', '0', '0', '104', '24', '10.6', '171', '14.54', '236', '182', '12.33', '3.2', '72']],
-        "PT_NO = 10001862, VISIBLE_STONE_CT = True, REAL_STONE = True",
-    ],
-    [
-        [['0', '1','0','106','18','13.6', '388', '21.13', '196', '118', '1.87', '2.7', '58']],
-        "PT_NO = 10007376, VISIBLE_STONE_CT = True, REAL_STONE = True",
-    ],
-    [
-        [['1', '0','1','205','18','9.3', '103', '8.45', '440', '100', '4.21', '4.5', '63']],
-        "PT_NO = 10040285, VISIBLE_STONE_CT = False, REAL_STONE = True",
-    ],
-    [
-        [['0', '1','1','130','20','12.1', '192', '8.63', '47', '59', '0.02', '0.4', '57']],
-        "PT_NO = 10005545, VISIBLE_STONE_CT = False, REAL_STONE = False",
-    ],
-]
-
-tabular_header = ['DUCT_DILIATATION_8MM', 'DUCT_DILIATATION_10MM','PANCREATITIS','FIRST_SBP','FIRST_RR','Hb', 'PLT', 'WBC', 'ALP', 'AST', 'CRP', 'BILIRUBIN', 'AGE']
-
-description = """
-GPU 리소스 제약으로 인해, 온라인 데모에서는 NVIDIA RTX 3090 24GB를 사용하고 있습니다. \n
-
-**Note**: 현재 저희 모델은 **총담관결석증**의 분석 및 진단을 중심으로 최적화되어 있으며, 정확하고 신뢰할 수 있는 결과를 제공합니다. \n 
-모델은 다음과 같은 입력 데이터를 처리하며, 아래와 같이 각각 **이산형(discrete)** **연속형(continuous)** 데이터로 처리됩니다. \n
-
-- 이산형 변수:
-- DUCT_DILIATATION_8MM
-- DUCT_DILIATATION_10MM
-- PANCREATITIS
-
-- 연속형 변수:
-- FIRST_SBP (Systolic blood pressure)
-- FIRST_RR (Respiratory rate)
-- Hb (Hemoglobin)
-- PLT (Platelet)
-- WBC (White Blood Cell)
-- ALP (Alkaline Phosphatase)
-- ALT (Alanine Aminotransferase)
-- AST (Aspartate Aminotransferase)
-- CRP (C-Reactive Protein)
-- BILIRUBIN
-- AGE 
-
-**중요**: 입력 데이터의 컬럼이 변경(추가, 삭제)될 경우, 모델의 예측 결과가 달라질 수 있습니다. \n 
-따라서 입력 데이터의 구조를 변경하기 전에 모델의 재학습 또는 재검증이 필요합니다. \n
-"""
-
-title_markdown = ("""
-# 임상 데이터 기반 머신러닝을 이용한 총담관석 예측 모델  
-## Development of a Common Bile Duct Stone Prediction Model Using Machine Learning Based on Clinical Data
-[📖[Learn more about Common Bile Duct Stones (총담관결석증)](https://namu.wiki/w/%EC%B4%9D%EB%8B%B4%EA%B4%80%EA%B2%B0%EC%84%9D%EC%A6%9D)] 
-### Copyright © 2024 Dongguk University (DGU) and Dongguk University Medical Center (DUMC). All rights reserved.
+# Gradio
+examples = [
+    [
+        [['100.0', '24.0', '38.2', '72', '0.0', '1.0', '14.54','236.0','548.0','182.0','12.33','3.2','355.0']],
+        "PT_NO = 10001862, VISIBLE_STONE_CT = True, REAL_STONE = True",
+    ],
+
+    [
+        [['81.0','18.0','36.1','58','0.0','1.0','21.13','196.0','70.0','118.0','1.87','2.7','359.0']],
+        "PT_NO = 10007376, VISIBLE_STONE_CT = True, REAL_STONE = True",
+    ],
+    [
+        [['80.0','18.0','36.6','63','1.0','0.0','8.45','440.0','199.0','100.0','4.21','4.5','365.0']],
+        "PT_NO = 10040285, VISIBLE_STONE_CT = False, REAL_STONE = True",
+    ],
+    [
+        [['83.0','20.0','36.7','57','1.0','1.0','8.63','47.0','32.0','59.0','0.02','0.4','359.0']],
+        "PT_NO = 10005545, VISIBLE_STONE_CT = False, REAL_STONE = False",
+    ],
+]
+
+tabular_header = ['FIRST_HR', 'FIRST_RR', 'FIRST_BT','AGE', 'PANCREATITIS', 'DUCT_DILIATATION_10MM', 'WBC', 'ALP', 'ALT', 'AST','CRP', 'BILIRUBIN','GGT']
+
+description = """
+Due to GPU resource constraints, the online demo is running on 2 vCPUs and 16 GB of RAM. \n
+
+**Note**: This model is specifically designed for the diagnosis and prediction of common bile duct(CBD) stones and provides accurate and reliable results. \n 
+The input data consists of the following **discrete** and **continuous** variables, all of which play a significant role in the model's performance \n
+
+- Discrete Variables:
+- DUCT_DILIATATION_10MM (Presence of common bile duct dilation (≥10mm))
+- PANCREATITIS (Presence of pancreatitis)
+
+- Continuous Variables:
+- FIRST_HR: Initial heart rate (Float)
+- FIRST_RR: Initial respiratory rate (Float)
+- FIRST_BT: Initial body temperature (Float)
+- AGE: Age
+- WBC: White blood cell count (Float)
+- ALP: Alkaline phosphatase (Float)
+- ALT: Alanine aminotransferase (Float)
+- AST: Aspartate aminotransferase (Float)
+- CRP: C-reactive protein (Float)
+- BILIRUBIN: Bilirubin level (Float)
+- GGT: Gamma-glutamyl transferase (Float)
+
+**Important**: Changes to the structure of the input data (e.g., adding, removing columns) may affect the model's predictions. \n 
+Therefore, it is essential to retrain or revalidate the model if any modifications are made to the input data structure. \n
+"""
+
+title_markdown = ("""
+## Development of a Common Bile Duct Stone Prediction Model Using Machine Learning Based on Clinical Data
+[📖[Learn more about Common Bile Duct Stones (https://namu.wiki/w/%EC%B4%9D%EB%8B%B4%EA%B4%80%EA%B2%B0%EC%84%9D%EC%A6%9D)] 
+### Copyright © 2024 Dongguk University (DGU) and Dongguk University Medical Center (DUMC). All rights reserved.
 """)