技术及平台资讯
医管局数据实验室採用Apache Hadoop作为分析平台。Apache Hadoop为一种开源软件，用于储存及处理大量分散及多样的数据。作为大数据平台，Apache Hadoop发挥着数据储存、数据处理、数据查阅、数据管理、保安及操作的功能。
医管局数据实验室平台提供顶尖的数据研究主题，如数据分析、优化/可视化、模拟，以及医疗行业的运作研究。
本平台提供Apache Hadoop解决方案以助决策及製订策略。它的主要组成部份包括HDFS, HBASE, HIVE, Kafka, Sqoop, Spark, Tez, Zookeeper, Storm 及Ranger。
下图显示了医管局数据实验室採用的Hadoop的主要组成部份：
可用软件
| Hadoop 生态系统 | |
| 软件 | 版本 |
| Spark | 2.4.7.7.1.7.1000-141 |
| TEZ | 0.9.1.7.1.7.1000-141 |
| Ranger | 2.1.0.7.1.7.1000-141 |
| Zookeeper | 3.5.5.7.1.7.1000-141 |
| Hadoop HDFS | 3.1.1.7.1.7.1000-141 |
| Hadoop YARN | 3.1.1.7.1.7.1000-141 |
| Hive | 3.1.3000.7.1.7.1000-141 |
| HBase | 2.2.3.7.1.7.1000-141 |
| Sqoop | 1.4.7.7.1.7.1000-141 |
| GPU 伺服器组件 | |
| 标准库及驱动程式 | 版本 |
| CUDA | 11.0.194 |
| NVIDIA Driver | 460.73.01 |
| R & 模组 | |
| 套装名称 | 版本 |
| Rstudio Server | 1.4.1717 |
| R | 4.3.1 |
| abind | 1.4-5 |
| backports | 1.4.1 |
| base | 4.3.1 |
| bit | 4.0.5 |
| bit64 | 4.0.5 |
| boot | 1.3-28.1 |
| brio | 1.1.3 |
| broom | 1.0.4 |
| callr | 3.7.3 |
| car | 3.1-2 |
| carData | 3.0-5 |
| cellranger | 1.1.0 |
| chk | 0.9.0 |
| class | 7.3-22 |
| cli | 3.6.1 |
| clipr | 0.8.0 |
| cluster | 2.1.4 |
| cobalt | 4.5.1 |
| codetools | 0.2-19 |
| colorspace | 2.1-0 |
| commonmark | 1.9.0 |
| compiler | 4.3.1 |
| corrplot | 0.92 |
| cowplot | 1.1.1 |
| cpp11 | 0.4.3 |
| crayon | 1.5.2 |
| data.table | 1.14.8 |
| datasets | 4.3.1 |
| DBI | 1.1.3 |
| deldir | 1.0-9 |
| desc | 1.4.2 |
| diffobj | 0.3.5 |
| digest | 0.6.31 |
| dplyr | 1.1.2 |
| ellipsis | 0.3.2 |
| evaluate | 0.21 |
| exactRankTests | 0.8-35 |
| fansi | 1.0.4 |
| farver | 2.1.1 |
| forcats | 1.0.0 |
| foreach | 1.5.2 |
| foreign | 0.8-84 |
| fs | 1.6.2 |
| gbm | 2.1.8.1 |
| generics | 0.1.3 |
| ggplot2 | 3.4.2 |
| ggpubr | 0.6.0 |
| ggrepel | 0.9.3 |
| ggsci | 3.0.0 |
| ggsignif | 0.6.4 |
| glmnet | 4.1-7 |
| glue | 1.6.2 |
| graphics | 4.3.1 |
| grDevices | 4.3.1 |
| grid | 4.3.1 |
| gridExtra | 2.3 |
| gtable | 0.3.3 |
| haven | 2.5.2 |
| highr | 0.10 |
| hms | 1.1.3 |
| interp | 1.1-4 |
| isoband | 0.2.7 |
| iterators | 1.0.14 |
| jomo | 2.7-6 |
| jpeg | 0.1-10 |
| jsonlite | 1.8.5 |
| KernSmooth | 2.23-21 |
| km.ci | 0.5-6 |
| KMsurv | 0.1-5 |
| knitr | 1.43 |
| labeling | 0.4.2 |
| lattice | 0.21-8 |
| latticeExtra | 0.6-30 |
| lifecycle | 1.0.3 |
| lme4 | 1.1-33 |
| magrittr | 2.0.3 |
| markdown | 1.7 |
| MASS | 7.3-60 |
| MatchIt | 4.5.3 |
| MatchThem | 1.0.1 |
| Matrix | 1.5-4.1 |
| MatrixModels | 0.5-1 |
| maxstat | 0.7-25 |
| methods | 4.3.1 |
| mgcv | 1.8-42 |
| mice | 3.16.0 |
| minqa | 1.2.5 |
| mitml | 0.4-5 |
| mitools | 2.4 |
| mnormt | 2.1.1 |
| munsell | 0.5.0 |
| mvtnorm | 1.2-2 |
| nlme | 3.1-162 |
| nloptr | 2.0.3 |
| nnet | 7.3-19 |
| numDeriv | 2016.8-1.1 |
| ordinal | 2022.11-16 |
| pan | 1.6 |
| parallel | 4.3.1 |
| pbkrtest | 0.5.2 |
| pillar | 1.9.0 |
| pkgconfig | 2.0.3 |
| pkgload | 1.3.2 |
| png | 0.1-8 |
| polynom | 1.4-1 |
| praise | 1.0.0 |
| prettyunits | 1.1.1 |
| processx | 3.8.1 |
| progress | 1.2.2 |
| ps | 1.7.5 |
| psych | 2.3.6 |
| purrr | 1.0.1 |
| quantreg | 5.95 |
| R6 | 2.5.1 |
| RColorBrewer | 1.1-3 |
| Rcpp | 1.0.10 |
| RcppEigen | 0.3.3.9.3 |
| RcppProgress | 0.4.2 |
| readr | 2.1.4 |
| readxl | 1.4.2 |
| rematch | 1.0.1 |
| rematch2 | 2.1.2 |
| rlang | 1.1.1 |
| rpart | 4.1.19 |
| rprojroot | 2.0.3 |
| rstatix | 0.7.2 |
| scales | 1.2.1 |
| shape | 1.4.6 |
| SparseM | 1.81 |
| spatial | 7.3-16 |
| splines | 4.3.1 |
| stats | 4.3.1 |
| stats4 | 4.3.1 |
| stringi | 1.7.12 |
| stringr | 1.5.0 |
| survey | 4.2-1 |
| survival | 3.5-5 |
| survminer | 0.4.9 |
| survMisc | 0.5.6 |
| tcltk | 4.3.1 |
| testthat | 3.1.8 |
| tibble | 3.2.1 |
| tidyr | 1.3.0 |
| tidyselect | 1.2.0 |
| tidyverse | 2.0.0 |
| tools | 4.3.1 |
| twang | 2.5 |
| tzdb | 0.4.0 |
| ucminf | 1.2.0 |
| utf8 | 1.2.3 |
| utils | 4.3.1 |
| vctrs | 0.6.3 |
| viridisLite | 0.4.2 |
| vroom | 1.6.3 |
| waldo | 0.5.1 |
| WeightIt | 0.14.2 |
| withr | 2.5.0 |
| xfun | 0.39 |
| xgboost | 1.7.5.1 |
| xtable | 1.8-4 |
| yaml | 2.3.7 |
| zoo | 1.8-12 |
| Python & 模组 | |
| 套装名称 | 版本 |
| Python | 3.9.16 |
| absl-py | 1.4.0 |
| anyio | 3.7.1 |
| argon2-cffi | 21.3.0 |
| argon2-cffi-bindings | 21.2.0 |
| arrow | 1.2.3 |
| asttokens | 2.2.1 |
| astunparse | 1.6.3 |
| async-lru | 2.0.4 |
| attrs | 23.1.0 |
| Babel | 2.12.1 |
| backcall | 0.2.0 |
| beautifulsoup4 | 4.12.2 |
| bleach | 6.0.0 |
| cachetools | 5.3.1 |
| certifi | 2023.5.7 |
| cffi | 1.15.1 |
| charset-normalizer | 3.1.0 |
| comm | 0.1.4 |
| contourpy | 1.0.7 |
| cycler | 0.11.0 |
| debugpy | 1.6.7 |
| decorator | 5.1.1 |
| defusedxml | 0.7.1 |
| easyocr | 1.7.0 |
| exceptiongroup | 1.1.2 |
| executing | 1.2.0 |
| fastjsonschema | 2.18.0 |
| filelock | 3.12.2 |
| flatbuffers | 1.12 |
| fonttools | 4.39.4 |
| fqdn | 1.5.1 |
| gast | 0.4.0 |
| google-auth | 2.19.0 |
| google-auth-oauthlib | 0.4.6 |
| google-pasta | 0.2.0 |
| grpcio | 1.54.2 |
| h5py | 3.8.0 |
| idna | 3.4 |
| imageio | 2.31.1 |
| importlib-metadata | 6.6.0 |
| ipykernel | 6.25.0 |
| ipython | 8.14.0 |
| isoduration | 20.11.0 |
| jedi | 0.19.0 |
| Jinja2 | 3.1.2 |
| joblib | 1.2.0 |
| json5 | 0.9.14 |
| jsonpointer | 2.4 |
| jsonschema | 4.18.6 |
| jsonschema-specifications | 2023.7.1 |
| jupyter_client | 8.3.0 |
| jupyter_core | 5.3.1 |
| jupyter-events | 0.7.0 |
| jupyter-lsp | 2.2.0 |
| jupyter_server | 2.7.0 |
| jupyter_server_terminals | 0.4.4 |
| jupyterlab | 4.0.4 |
| jupyterlab-pygments | 0.2.2 |
| jupyterlab_server | 2.24.0 |
| keras | 2.9.0 |
| Keras-Preprocessing | 1.1.2 |
| kiwisolver | 1.4.4 |
| lazy_loader | 0.3 |
| libclang | 16.0.0 |
| lit | 16.0.6 |
| Markdown | 3.4.3 |
| MarkupSafe | 2.1.2 |
| matplotlib | 3.6.0 |
| matplotlib-inline | 0.1.6 |
| mistune | 3.0.1 |
| mpmath | 1.3.0 |
| nbclient | 0.8.0 |
| nbconvert | 7.7.3 |
| nbformat | 5.9.2 |
| nest-asyncio | 1.5.7 |
| networkx | 3.1 |
| ninja | 1.11.1 |
| notebook | 7.0.2 |
| notebook_shim | 0.2.3 |
| numpy | 1.22.4 |
| nvidia-cublas-cu11 | 11.10.3.66 |
| nvidia-cuda-cupti-cu11 | 11.7.101 |
| nvidia-cuda-nvrtc-cu11 | 11.7.99 |
| nvidia-cuda-runtime-cu11 | 11.7.99 |
| nvidia-cudnn-cu11 | 8.5.0.96 |
| nvidia-cufft-cu11 | 10.9.0.58 |
| nvidia-curand-cu11 | 10.2.10.91 |
| nvidia-cusolver-cu11 | 11.4.0.1 |
| nvidia-cusparse-cu11 | 11.7.4.91 |
| nvidia-nccl-cu11 | 2.14.3 |
| nvidia-nvtx-cu11 | 11.7.91 |
| oauthlib | 3.2.2 |
| opencv-python-headless | 4.8.0.74 |
| opt-einsum | 3.3.0 |
| overrides | 7.3.1 |
| packaging | 23.1 |
| pandas | 1.4.1 |
| pandocfilters | 1.5.0 |
| parso | 0.8.3 |
| pexpect | 4.8.0 |
| pickleshare | 0.7.5 |
| Pillow | 10.0.0 |
| platformdirs | 3.10.0 |
| prometheus-client | 0.17.1 |
| prompt-toolkit | 3.0.39 |
| protobuf | 3.19.6 |
| psutil | 5.9.5 |
| ptyprocess | 0.7.0 |
| pure-eval | 0.2.2 |
| pyasn1 | 0.5.0 |
| pyasn1-modules | 0.3.0 |
| pyclipper | 1.3.0.post4 |
| pycparser | 2.21 |
| Pygments | 2.15.1 |
| PyGObject | 3.26.1 |
| pyparsing | 3.0.9 |
| python-apt | 1.6.6 |
| python-bidi | 0.4.2 |
| python-dateutil | 2.8.2 |
| python-json-logger | 2.0.7 |
| pytz | 2023.3 |
| PyWavelets | 1.4.1 |
| PyYAML | 6.0.1 |
| pyzmq | 25.1.0 |
| referencing | 0.30.0 |
| requests | 2.31.0 |
| requests-oauthlib | 1.3.1 |
| rpds-py | 0.9.2 |
| rsa | 4.9 |
| scikit-image | 0.21.0 |
| scikit-learn | 1.0.2 |
| scipy | 1.11.1 |
| Send2Trash | 1.8.2 |
| shapely | 2.0.1 |
| six | 1.16.0 |
| sniffio | 1.3.0 |
| soupsieve | 2.4.1 |
| stack-data | 0.6.2 |
| sympy | 1.12 |
| tensorboard | 2.9.1 |
| tensorboard-data-server | 0.6.1 |
| tensorboard-plugin-wit | 1.8.1 |
| tensorflow-estimator | 2.9.0 |
| tensorflow-gpu | 2.9.1 |
| tensorflow-io-gcs-filesystem | 0.32.0 |
| termcolor | 2.3.0 |
| terminado | 0.17.1 |
| threadpoolctl | 3.1.0 |
| tifffile | 2023.7.18 |
| tinycss2 | 1.2.1 |
| tomli | 2.0.1 |
| torch | 1.13.0 |
| torchaudio | 0.13.0 |
| torchvision | 0.14.0 |
| tornado | 6.3.2 |
| traitlets | 5.9.0 |
| triton | 2.0.0 |
| typing_extensions | 4.6.2 |
| unattended-upgrades | 0.1 |
| uri-template | 1.3.0 |
| urllib3 | 1.26.16 |
| wcwidth | 0.2.6 |
| webcolors | 1.13 |
| webencodings | 0.5.1 |
| websocket-client | 1.6.1 |
| Werkzeug | 2.3.4 |
| wheel | 0.40.0 |
| wrapt | 1.15.0 |
| zipp | 3.15.0 |
| DICOM & 其他工具 | |
| 名称 | 版本 |
| Sante DICOM Viewer Lite | 3.1.5 |
| itk-SNAP | 3.6.0 |
| OsiriX DICOM Viewer | 12.0.1 |
| PyCharm | 2018.3.4 (Community Edition) |
| FSL | 5.0.8 |
| dcm2nii | 2MAY2016 |
| libgdcm-tools | 2.6.3 |
| DCMTK - DICOM Toolkit | 3.6.3 |
修订日期：2023年11月03日