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akshayubhat
computationalhealthcare
HISTORICAL RECORD2017–2017
akshayubhat / computationalhealthcare · Not publicly available

computationalhealthcare

Discover this repository through its Hacker News conversations.

2Distinct people
2Mentions
0Explicit recommenders
REPOSITORY AT A GLANCE

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What it is

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What people are saying

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2017-01-23 03:16:20 UTC to 2017-02-27 12:13:33 UTC. Weeks start Monday, UTC.

012017-01-23 00:00:00 UTC to 2017-01-30 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJan 232017-01-30 00:00:00 UTC to 2017-02-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-02-06 00:00:00 UTC to 2017-02-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsFeb 62017-02-13 00:00:00 UTC to 2017-02-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-02-20 00:00:00 UTC to 2017-02-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-02-27 00:00:00 UTC to 2017-03-06 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsFeb 27

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jan 232017-01-23 00:00:00 UTC2017-01-30 00:00:00 UTC101
Jan 302017-01-30 00:00:00 UTC2017-02-06 00:00:00 UTC000
Feb 62017-02-06 00:00:00 UTC2017-02-13 00:00:00 UTC000
Feb 132017-02-13 00:00:00 UTC2017-02-20 00:00:00 UTC000
Feb 202017-02-20 00:00:00 UTC2017-02-27 00:00:00 UTC000
Feb 272017-02-27 00:00:00 UTC2017-03-06 00:00:00 UTC110

What Hacker News says

2 sources
I am a researcher in Medical / Healthcare AI, and currently developing a Caffe like framework for learning from publicly available large claims dataset.[1] I actually have a very pessimistic outlook. I think outside of few specific applications in Radiology and maybe pathology, AI/ML is unlikely to succeed in Medicine. Even Deep Mind which started its health division by building a Non-AI app. The major issue in medicine is figuring out the right kind of problem/intervention/interface. Worse a lot of research in this field (outside of radiology) is pure hype. It typically involves researchers teaming up with their friends in university associated hospital to publish studies on private datasets which can never be reproduced. Why worry whether the problem definition is correct or clinically meaningful when you can claim anything and the co
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mmunity lets you get away with calling your work Deepest Patient or AI Doctor. This is why Physicians & medical researcher mock machine learning in healthcare research. It is going to take another half a decade or even a decade untill unform EMR/EHR datasets become available. And some Imagenet style competition weeds out the current crop of GRU-LSTM-RNN-Stacked-Autoencode-GAE papers whose goal is to stuff resumes with "hot" keywords rather than actually improve the state of the art in an emiprical manner. [1] https://github.com/AKSHAYUBHAT/ComputationalHealthcare
In Predicting Medical AI in 2017

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