Completed the API development

IT20140984-API/ClassificationModel.yaml

+name: ClassificationModels
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  - asttokens=2.0.5=pyhd3eb1b0_0
+  - backcall=0.2.0=pyhd3eb1b0_0
+  - blas=1.0=mkl
+  - bottleneck=1.3.5=py39h080aedc_0
+  - brotli=1.0.9=h2bbff1b_7
+  - brotli-bin=1.0.9=h2bbff1b_7
+  - ca-certificates=2023.05.30=haa95532_0
+  - certifi=2023.7.22=py39haa95532_0
+  - cmdstan=2.31.0=h58f7c43_0
+  - cmdstanpy=1.1.0=py39haa95532_0
+  - colorama=0.4.6=py39haa95532_0
+  - comm=0.1.2=py39haa95532_0
+  - convertdate=2.3.2=pyhd3eb1b0_0
+  - cycler=0.11.0=pyhd3eb1b0_0
+  - debugpy=1.6.7=py39hd77b12b_0
+  - decorator=5.1.1=pyhd3eb1b0_0
+  - ephem=4.1.2=py39h2bbff1b_0
+  - executing=0.8.3=pyhd3eb1b0_0
+  - freetype=2.12.1=ha860e81_0
+  - giflib=5.2.1=h8cc25b3_3
+  - glib=2.69.1=h5dc1a3c_2
+  - gst-plugins-base=1.18.5=h9e645db_0
+  - gstreamer=1.18.5=hd78058f_0
+  - holidays=0.29=py39haa95532_0
+  - icu=58.2=ha925a31_3
+  - importlib-metadata=6.0.0=py39haa95532_0
+  - importlib_metadata=6.0.0=hd3eb1b0_0
+  - importlib_resources=5.2.0=pyhd3eb1b0_1
+  - intel-openmp=2023.1.0=h59b6b97_46319
+  - ipykernel=6.25.0=pyh6817e22_0
+  - ipython=8.12.2=py39haa95532_0
+  - jedi=0.18.1=py39haa95532_1
+  - jpeg=9e=h2bbff1b_1
+  - jupyter_client=8.1.0=py39haa95532_0
+  - jupyter_core=5.3.0=py39haa95532_0
+  - kiwisolver=1.4.4=py39hd77b12b_0
+  - krb5=1.19.4=h5b6d351_0
+  - lerc=3.0=hd77b12b_0
+  - libbrotlicommon=1.0.9=h2bbff1b_7
+  - libbrotlidec=1.0.9=h2bbff1b_7
+  - libbrotlienc=1.0.9=h2bbff1b_7
+  - libclang=14.0.6=default_hb5a9fac_1
+  - libclang13=14.0.6=default_h8e68704_1
+  - libdeflate=1.17=h2bbff1b_0
+  - libffi=3.4.4=hd77b12b_0
+  - libiconv=1.16=h2bbff1b_2
+  - libogg=1.3.5=h2bbff1b_1
+  - libpng=1.6.39=h8cc25b3_0
+  - libsodium=1.0.18=h62dcd97_0
+  - libtiff=4.5.0=h6c2663c_2
+  - libvorbis=1.3.7=he774522_0
+  - libwebp=1.2.4=hbc33d0d_1
+  - libwebp-base=1.2.4=h2bbff1b_1
+  - libxml2=2.10.3=h0ad7f3c_0
+  - libxslt=1.1.37=h2bbff1b_0
+  - lunarcalendar=0.0.9=pyhd3eb1b0_0
+  - lz4-c=1.9.4=h2bbff1b_0
+  - m2-bash=4.3.042=5
+  - m2-coreutils=8.25=102
+  - m2-filesystem=2016.04=4
+  - m2-gcc-libs=5.3.0=4
+  - m2-gmp=6.1.0=3
+  - m2-libiconv=1.14=3
+  - m2-libintl=0.19.7=4
+  - m2-msys2-runtime=2.5.0.17080.65c939c=3
+  - m2-sed=4.2.2=3
+  - m2w64-binutils=2.25.1=5
+  - m2w64-bzip2=1.0.6=6
+  - m2w64-crt-git=5.0.0.4636.2595836=2
+  - m2w64-gcc=5.3.0=6
+  - m2w64-gcc-ada=5.3.0=6
+  - m2w64-gcc-fortran=5.3.0=6
+  - m2w64-gcc-libgfortran=5.3.0=6
+  - m2w64-gcc-libs=5.3.0=7
+  - m2w64-gcc-libs-core=5.3.0=7
+  - m2w64-gcc-objc=5.3.0=6
+  - m2w64-gmp=6.1.0=2
+  - m2w64-headers-git=5.0.0.4636.c0ad18a=2
+  - m2w64-isl=0.16.1=2
+  - m2w64-libiconv=1.14=6
+  - m2w64-libmangle-git=5.0.0.4509.2e5a9a2=2
+  - m2w64-libwinpthread-git=5.0.0.4634.697f757=2
+  - m2w64-make=4.1.2351.a80a8b8=2
+  - m2w64-mpc=1.0.3=3
+  - m2w64-mpfr=3.1.4=4
+  - m2w64-pkg-config=0.29.1=2
+  - m2w64-toolchain=5.3.0=7
+  - m2w64-toolchain_win-64=2.4.0=0
+  - m2w64-tools-git=5.0.0.4592.90b8472=2
+  - m2w64-windows-default-manifest=6.4=3
+  - m2w64-winpthreads-git=5.0.0.4634.697f757=2
+  - m2w64-zlib=1.2.8=10
+  - matplotlib-base=3.7.1=py39hf11a4ad_1
+  - matplotlib-inline=0.1.6=py39haa95532_0
+  - mkl=2023.1.0=h6b88ed4_46357
+  - mkl-service=2.4.0=py39h2bbff1b_1
+  - mkl_fft=1.3.6=py39hf11a4ad_1
+  - mkl_random=1.2.2=py39hf11a4ad_1
+  - msys2-conda-epoch=20160418=1
+  - munkres=1.1.4=py_0
+  - nest-asyncio=1.5.6=py39haa95532_0
+  - numexpr=2.8.4=py39h7b80656_1
+  - numpy=1.25.2=py39h055cbcc_0
+  - numpy-base=1.25.2=py39h65a83cf_0
+  - openssl=1.1.1v=h2bbff1b_0
+  - packaging=23.0=py39haa95532_0
+  - parso=0.8.3=pyhd3eb1b0_0
+  - pcre=8.45=hd77b12b_0
+  - pickleshare=0.7.5=pyhd3eb1b0_1003
+  - pip=23.2.1=py39haa95532_0
+  - platformdirs=2.5.2=py39haa95532_0
+  - ply=3.11=py39haa95532_0
+  - prompt-toolkit=3.0.36=py39haa95532_0
+  - prophet=1.1.4=py39h28ab207_0
+  - psutil=5.9.0=py39h2bbff1b_0
+  - pure_eval=0.2.2=pyhd3eb1b0_0
+  - pygments=2.15.1=py39haa95532_1
+  - pymeeus=0.5.11=pyhd3eb1b0_1
+  - pyparsing=3.0.9=py39haa95532_0
+  - pyqt=5.15.7=py39hd77b12b_0
+  - pyqt5-sip=12.11.0=py39hd77b12b_0
+  - python=3.9.17=h6244533_0
+  - python-dateutil=2.8.2=pyhd3eb1b0_0
+  - pytz=2022.7=py39haa95532_0
+  - pywin32=305=py39h2bbff1b_0
+  - pyzmq=25.1.0=py39hd77b12b_0
+  - qt-main=5.15.2=he8e5bd7_8
+  - qt-webengine=5.15.9=hb9a9bb5_5
+  - qtwebkit=5.212=h2bbfb41_5
+  - setuptools=68.0.0=py39haa95532_0
+  - sip=6.6.2=py39hd77b12b_0
+  - six=1.16.0=pyhd3eb1b0_1
+  - sqlite=3.41.2=h2bbff1b_0
+  - stack_data=0.2.0=pyhd3eb1b0_0
+  - tbb=2021.8.0=h59b6b97_0
+  - tk=8.6.12=h2bbff1b_0
+  - toml=0.10.2=pyhd3eb1b0_0
+  - tornado=6.3.2=py39h2bbff1b_0
+  - tqdm=4.65.0=py39hd4e2768_0
+  - traitlets=5.7.1=py39haa95532_0
+  - typing_extensions=4.7.1=py39haa95532_0
+  - vc=14.2=h21ff451_1
+  - vs2015_runtime=14.27.29016=h5e58377_2
+  - wcwidth=0.2.5=pyhd3eb1b0_0
+  - wheel=0.38.4=py39haa95532_0
+  - xz=5.4.2=h8cc25b3_0
+  - zeromq=4.3.4=hd77b12b_0
+  - zipp=3.11.0=py39haa95532_0
+  - zlib=1.2.13=h8cc25b3_0
+  - zstd=1.5.5=hd43e919_0
+  - pip:
+      - annotated-types==0.5.0
+      - anyio==3.7.1
+      - catboost==1.2
+      - charset-normalizer==3.2.0
+      - click==8.1.6
+      - contourpy==1.1.0
+      - exceptiongroup==1.1.2
+      - faker==19.3.0
+      - fastapi==0.101.0
+      - fonttools==4.42.0
+      - h11==0.14.0
+      - idna==3.4
+      - imbalanced-learn==0.11.0
+      - imblearn==0.0
+      - importlib-resources==6.0.0
+      - ipywidgets==8.1.0
+      - joblib==1.3.1
+      - jupyterlab-widgets==3.0.8
+      - matplotlib==3.7.2
+      - pandas==2.0.3
+      - pillow==10.0.0
+      - plotly==5.15.0
+      - pydantic==2.1.1
+      - pydantic-core==2.4.0
+      - python-graphviz==0.20.1
+      - python-multipart==0.0.6
+      - requests==2.31.0
+      - scikit-learn==1.3.0
+      - scipy==1.11.1
+      - seaborn==0.12.2
+      - sniffio==1.3.0
+      - starlette==0.27.0
+      - svm==0.1.0
+      - tenacity==8.2.2
+      - threadpoolctl==3.2.0
+      - tzdata==2023.3
+      - urllib3==2.0.4
+      - uvicorn==0.23.2
+      - widgetsnbextension==4.0.8
+      - xgboost==1.7.6
+      - xmltodict==0.13.0

IT20140984-API/README.md

+# CKD-Research-Project-Backend
\ No newline at end of file

IT20140984-API/drg1.csv

+Month,Sales
+2005-1-31,2815
+2005-2-28,2672
+2005-3-31,2755
+2005-4-30,2721
+2005-5-31,2946
+2005-6-30,3036
+2005-7-31,2282
+2005-8-31,2212
+2005-9-30,2922
+2005-10-31,4301
+2005-11-30,5764
+2005-12-31,7312
+2006-1-31,2541
+2006-2-28,2475
+2006-3-31,3031
+2006-4-30,3266
+2006-5-31,3776
+2006-6-30,3230
+2006-7-31,3028
+2006-8-31,1759
+2006-9-30,3595
+2006-10-31,4474
+2006-11-30,6838
+2006-12-31,8357
+2007-1-31,3113
+2007-2-28,3006
+2007-3-31,4047
+2007-4-30,3523
+2007-5-31,3937
+2007-6-30,3986
+2007-7-31,3260
+2007-8-31,1573
+2007-9-30,3528
+2007-10-31,5211
+2007-11-30,7614
+2007-12-31,9254
+2008-1-31,5375
+2008-2-29,3088
+2008-3-31,3718
+2008-4-30,4514
+2008-5-31,4520
+2008-6-30,4539
+2008-7-31,3663
+2008-8-31,1643
+2008-9-30,4739
+2008-10-31,5428
+2008-11-30,8314
+2008-12-31,10651
+2009-1-31,3633
+2009-2-28,4292
+2009-3-31,4154
+2009-4-30,4121
+2009-5-31,4647
+2009-6-30,4753
+2009-7-31,3965
+2009-8-31,1723
+2009-9-30,5048
+2009-10-31,6922
+2009-11-30,9858
+2009-12-31,11331
+2010-1-31,4016
+2010-2-28,3957
+2010-3-31,4510
+2010-4-30,4276
+2010-5-31,4968
+2010-6-30,4677
+2010-7-31,3523
+2010-8-31,1821
+2010-9-30,5222
+2010-10-31,6872
+2010-11-30,10803
+2010-12-31,13916
+2011-1-31,2639
+2011-2-28,2899
+2011-3-31,3370
+2011-4-30,3740
+2011-5-31,2927
+2011-6-30,3986
+2011-7-31,4217
+2011-8-31,1738
+2011-9-30,5221
+2011-10-31,6424
+2011-11-30,9842
+2011-12-31,13076
+2012-1-31,3934
+2012-2-29,3162
+2012-3-31,4286
+2012-4-30,4676
+2012-5-31,5010
+2012-6-30,4874
+2012-7-31,4633
+2012-8-31,1659
+2012-9-30,5951
\ No newline at end of file

IT20140984-API/model_loader.py

+import pickle
+
+def load_model():
+    with open('rf_clf_model.pkl', 'rb') as model_file:
+        model = pickle.load(model_file)
+    return model
+
+def DecisionTree_model():
+    with open('DTC_model.pkl', 'rb') as model_file:
+        model = pickle.load(model_file)
+    return model    
+
+def Nephrotic_model():
+    with open('Random Forest_Nephrotic_model.pkl', 'rb') as model_file:
+        model = pickle.load(model_file)
+    return model   
+
+def CKD_model():
+    with open('SVM_model.pkl', 'rb') as model_file:
+        model = pickle.load(model_file)
+    return model
+
+def AKI_model():
+    with open('Random Forest_Aki_model.pkl', 'rb') as model_file:
+        model = pickle.load(model_file)
+    return model