Data extraction - Scientific articles, Medicine

Job ID: 33517592

Budget: $30 – $250 USD

I need someone with expertise in medicine to:
1) read 200 PubMed abstracts (I will provide Pubmed ids)
and
2) extract information about 4 main points in these abstracts:
disease & drug being studied, study design, and data type.
3) compare disease and drug from abstract and title to diseases and drugs present in Pubmed MESH headings and Key words


Example Pubmed link:
https://pubmed.ncbi.nlm.nih.gov/29052434/?format=pubmed

AB - Abstract
MH - MESH headings
OT - Key words

I don't want algorithmic solutions. Please only apply if you have medical background.

The result that I want to get:
csv table with columns:

1) PubMed id
_____________
Abstract
2) Study population (the disease that is being studied) captured by the MESH terms
3) Study population (the disease that is being studied) NOT captured by the MESH terms
4) Other diseases that are captured by the MESH terms

5) Study population (the disease that is being studied) captured by the Key words
6) Study population (the disease that is being studied) NOT captured by the Key words
7) Other non relevant diseases that are captured by the Key words

8) Drug of interest (Exposure) captured by the MESH terms
9) Drug of interest (Exposure) NOT captured by the MESH terms
10) Other non relevant drugs that are captured by the MESH terms

11) Drug of interest (Exposure) captured by the Key words
12) Drug of interest (Exposure) NOT captured by the Key words
13) Other non relevant drugs that are captured by the Key words
__________
14 - 26) the same for TITLE
__________
27) Study design
28) Data type
Related categories: Data Entry Research Medical Data Mining Data Extraction