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System for Medical Concept Extraction and Linking

active 2023-08-212026-03-03 (UTC)

Complete coverage26,333 / 26,333 hourly files (100%) · 2 absent upstream2023-08-152026-08-16 (UTC)
Events
152
Pushes
3
Pull requests
4
Issues
10
Stars
97
Forks
15

Activity over time

Daily event counts in the loaded window

Line chart, 926 days from 2023-08-21 to 2026-03-03. Pushes: 3 total, peak 3 in a day. Pull requests: 4 total, peak 3 in a day. Issues: 10 total, peak 1 in a day. Comments: 22 total, peak 3 in a day. Stars: 97 total, peak 3 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

  • Issue comment#101Chilliwiddit2025-12-24 06:58
    Getting Errors in QUICKUMLS Installation
  • Issue comment#79felipepaes2025-06-09 23:01
    about `nlp.add_pipe` in the demo
  • Issue comment#101Tharun23312025-05-16 21:06
    Getting Errors in QUICKUMLS Installation
  • Issue comment#101mattiafonderico2025-05-16 07:29
    Getting Errors in QUICKUMLS Installation
  • Issue comment#101Tharun23312025-04-07 23:36
    Getting Errors in QUICKUMLS Installation
  • Issue comment#101Shubh789da2025-04-07 04:10
    Getting Errors in QUICKUMLS Installation
  • Issue comment#101Tharun23312025-04-06 18:57
    Getting Errors in QUICKUMLS Installation
  • Issue comment#101Shubh789da2025-04-06 09:15
    Getting Errors in QUICKUMLS Installation
  • Issue#101Tharun23312025-03-22 16:41
    Getting Errors in QUICKUMLS Installation
  • Issue comment#99ghisvail2025-03-05 10:04
    Use plyvel for the leveldb backend
  • Issue#100youngbinkim02025-01-15 15:16
    [BUG] Issues when multithreading with simstring
  • Issue comment#99darebfh2024-12-27 18:02
    Use plyvel for the leveldb backend
  • Issue comment#94RuiqiTu2024-12-24 07:49
    [BUG]ValueError: [E090] Extension 'similarity' already exists on Span. To overwrite the existing extension, set `force=True` on `Span.set_extension`.
  • Issue#100youngbinkim02024-12-11 15:01
    [BUG] Issues when multithreading with simstring
  • Issue#97GChampagne12024-08-15 14:53
    Numpy Dependency is Broken; Needs Updating to Explicitly Disallow v2
  • Issue comment#97ghisvail2024-08-14 15:24
    Numpy Dependency is Broken; Needs Updating to Explicitly Disallow v2
  • Issue comment#97ghisvail2024-08-13 14:08
    Numpy Dependency is Broken; Needs Updating to Explicitly Disallow v2
  • Issue comment#97GChampagne12024-08-13 12:52
    Numpy Dependency is Broken; Needs Updating to Explicitly Disallow v2
  • Issue comment#97ghisvail2024-08-13 09:15
    Numpy Dependency is Broken; Needs Updating to Explicitly Disallow v2
  • Issue#98ghisvail2024-08-12 12:15
    Unable to install on Python 3.12 due to leveldb
  • Issue comment#94msegar2024-08-03 19:54
    [BUG]ValueError: [E090] Extension 'similarity' already exists on Span. To overwrite the existing extension, set `force=True` on `Span.set_extension`.
  • Issue#97GChampagne12024-07-24 21:12
    Numpy Dependency is Broken; Needs Updating to Explicitly Disallow v2
  • Issue comment#92HelloWorldLTY2024-07-02 18:43
    Google colab support
  • Issue comment#94JuneHou2024-05-20 17:37
    [BUG]ValueError: [E090] Extension 'similarity' already exists on Span. To overwrite the existing extension, set `force=True` on `Span.set_extension`.
  • Issue comment#94rmalla12024-03-31 05:36
    [BUG]ValueError: [E090] Extension 'similarity' already exists on Span. To overwrite the existing extension, set `force=True` on `Span.set_extension`.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 97 stars here means stars gained during the window, not the repo's star count.