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Preparing E-Health/drishti for FHIR DevDays

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Preparing E-Health/drishti for FHIR DevDays
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dermatologist / gist:6a110d32b2b21eb94d819a598000566f
Created Oct 17, 2018 — forked from rxaviers/gist:7360908
Complete list of github markdown emoji markup
View gist:6a110d32b2b21eb94d819a598000566f


:bowtie: :bowtie: 😄 :smile: 😆 :laughing:
😊 :blush: 😃 :smiley: ☺️ :relaxed:
😏 :smirk: 😍 :heart_eyes: 😘 :kissing_heart:
😚 :kissing_closed_eyes: 😳 :flushed: 😌 :relieved:
😆 :satisfied: 😁 :grin: 😉 :wink:
😜 :stuck_out_tongue_winking_eye: 😝 :stuck_out_tongue_closed_eyes: 😀 :grinning:
😗 :kissing: 😙 :kissing_smiling_eyes: 😛 :stuck_out_tongue:
dermatologist / sem-latex.R
Created Oct 17, 2018
Structural Equation Modeling in R with output as LaTeX tables.
View sem-latex.R
options(xtable.floating = FALSE)
options(xtable.timestamp = "") = read.csv("C:\\data.csv", header = TRUE)
DM.model <- '
# Measurement model Ref:
# Model:
dermatologist /
Created Nov 5, 2018 — forked from rafaeltuelho/
camel snippet using oauth to get an auth token and use it to request a secured rest service
.log("get access token")
.simple("<auth service context>/oauth2/token")
View citing-github-repo.bib
author = {Eapen, BR.},
title = {Behavioural Research support tools in Python including Grounded Theory Dictionary Generator.},
year = {2016},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{}},
commit = {4f57d6a0e4c030202a07a60bc1bb1ed1544bf679}
dermatologist /
Created Feb 10, 2019 — forked from cwant/
This is a script that takes a fresh Compute Canada Ubuntu 16.04 cloud instance, installs docker, docker-compose, ruby, grabs avalon source, and starts services
dermatologist /
Created Feb 11, 2019 — forked from narulkargunjan/
Topic Modeling (LDA/Word2Vec) with Spacy
import os
import codecs
data_directory = os.path.join('..', 'data',
businesses_filepath = os.path.join(data_directory,
with, encoding='utf_8') as f:
View Singularity cheat sheet
// Create a Singularity image from a Docker image that is in the Docker hub
// where /tmp/ is the folder where the image will be created and ubuntu:14.04
// is the docker image used to convert to the Singularity image
docker run \
-v /var/run/docker.sock:/var/run/docker.sock \
-v /tmp/:/output \
--privileged -t --rm \
singularityware/docker2singularity \
dermatologist /
Created Aug 3, 2019 — forked from pirate/
Backup a docker-compose project, including all images, named and unnamed volumes, container filesystems, config, logs, and databases.
#!/usr/bin/env bash
# Fully backup a docker-compose project, including all images, named and unnamed volumes, container filesystems, config, logs, and databases.
project_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && cd .. && pwd )"
cd "$project_dir"
project_name=$(basename "$project_dir")
backup_time=$(date +"%Y-%m-%d_%H-%M")
dermatologist /
Last active Aug 13, 2019
Convert pre-trained cui2vec to Glove and word2vec
import os
from gensim.models import KeyedVectors
from gensim.scripts.glove2word2vec import glove2word2vec
if os.path.exists('cui2vec_w.txt'):
wv_from_text = KeyedVectors.load_word2vec_format('cui2vec_w.txt', unicode_errors='ignore')
print(wv_from_text.most_similar("C0000052", topn=2))
wv_from_text.save_word2vec_format('cui2vec_w.bin', binary=True)
with open("cui2vec_pretrained.csv",'r') as f:
dermatologist / Dockerfile
Created Aug 14, 2019 — forked from orenitamar/Dockerfile
Installing numpy, scipy, pandas and matplotlib in Alpine (Docker)
View Dockerfile
# Below are the dependencies required for installing the common combination of numpy, scipy, pandas and matplotlib
# in an Alpine based Docker image.
FROM alpine:3.4
RUN echo "" >> /etc/apk/repositories
RUN apk --no-cache --update-cache add gcc gfortran python python-dev py-pip build-base wget freetype-dev libpng-dev openblas-dev
RUN ln -s /usr/include/locale.h /usr/include/xlocale.h
RUN pip install numpy scipy pandas matplotlib
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