RT @Andy_McMurry: @jcorkery @zakkohane Can’t hurt to use Philter from @atulbutte lab , removes 99.5% PHI. From real world use can confirm a…
RT @Andy_McMurry: @jcorkery @zakkohane Can’t hurt to use Philter from @atulbutte lab , removes 99.5% PHI. From real world use can confirm a…
RT @Andy_McMurry: @jcorkery @zakkohane Can’t hurt to use Philter from @atulbutte lab , removes 99.5% PHI. From real world use can confirm a…
@jcorkery @zakkohane Can’t hurt to use Philter from @atulbutte lab , removes 99.5% PHI. From real world use can confirm actually holds up on new data. Disclaimer: no conflicts, free and open source https://t.co/uMfYyjnnGO
RT @TomPetersonPhD: The manuscript for our new tool, Protected Health Information (PHI) filter ("Philter" for short) is now live: https://t…
Philter: accurately and securely de-identifying free-text #clinicalnotes #PHI @LemasLab #EHR https://t.co/hcJGVkeKge
@IAmSamFin If I understood your query, then a shouldn’t these fit into your scope? 1. https://t.co/HV1QXbJRlw 2. https://t.co/IiXCB9xwFN Still missing another one that I read a few months back. Hope the above fits your query.
A really interesting tool to anonymise medical notes and therefore make them mine-able for research. #npjdigitalmed is run by my colleague @Wanda_Layman.
Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes #npjdigitalmed https://t.co/FxMGuGUiry https://t.co/3XHX5vNCDJ
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @AndreEsteva: "Philter" (Protected Health Information Filter) - a novel way to de-identify free-text clinical notes. @UCSF @atulbutte @B…
"Philter" (Protected Health Information Filter) - a novel way to de-identify free-text clinical notes. @UCSF @atulbutte @BeauNorgeot https://t.co/OiXdj0FO90 https://t.co/TQoOdKB0vl
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @mattlungrenMD: Incredible new work!! This is huge - open source approach by @UCSFMedicine will accelerate responsible open medical da…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @curtlanglotz: Timely and game changing work from @UCSF_ICHS on data de-identification. Thank you @atulbutte and team for making this s…
@arumshisky @SeeTedTalk @evanmiltenburg @annargrs @stevebarolak @emilymbender @dirk_hovy @SteveMeystre @NLM_LHC Some approaches use a cascading regex/"black list"/ "white list" approach instead, e.g. Philter @atulbutte https://t.co/lMwtIHebsq
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @mattlungrenMD: Incredible new work!! This is huge - open source approach by @UCSFMedicine will accelerate responsible open medical da…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: We manually deidentified 4500 notes of 100 different kinds (out of our 70 million), used 2500 to build and 2000 to test. Two…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @mattlungrenMD: Incredible new work!! This is huge - open source approach by @UCSFMedicine will accelerate responsible open medical da…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
Great strides for NLP and use for research with clinical free text notes
RT @curtlanglotz: Timely and game changing work from @UCSF_ICHS on data de-identification. Thank you @atulbutte and team for making this s…
RT @curtlanglotz: Timely and game changing work from @UCSF_ICHS on data de-identification. Thank you @atulbutte and team for making this s…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @mattlungrenMD: Incredible new work!! This is huge - open source approach by @UCSFMedicine will accelerate responsible open medical da…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @mattlungrenMD: Incredible new work!! This is huge - open source approach by @UCSFMedicine will accelerate responsible open medical da…
Timely and game changing work from @UCSF_ICHS on data de-identification. Thank you @atulbutte and team for making this software open source. We hope the training data can be shared soon too.
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
Incredible new work!! This is huge - open source approach by @UCSFMedicine will accelerate responsible open medical data sharing for research/education. @StanfordAIMI hopes solutions like Philter can de-identify medical imaging text reports for our ope
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
Largest set of deidentified clinical notes disclosed to date, perfect for #nlp secondary analysis 👇
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
Awesome. Looking forward to giving it a try!
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @TomPetersonPhD: The manuscript for our new tool, Protected Health Information (PHI) filter ("Philter" for short) is now live: https://t…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
RT @atulbutte: THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #E…
Philter runs in the safest of environments, can run on an air-gapped machine, no internet access needed. Tested on our corpus and the 2014 i2b2 test corpus, compared with the great tools Physionet and Scrubber. https://t.co/XVEsWeZ51q https://t.co/Fp6fYCpt
Philter = Protected Health Information filter, now out in @Nature_NPJ Digital Medicine, thanks for highlighting us on the home page! https://t.co/FVGF49ja3a https://t.co/jgGTexpA57
We manually deidentified 4500 notes of 100 different kinds (out of our 70 million), used 2500 to build and 2000 to test. Two annotators per note. This might be the largest set of deidentified notes disclosed to date (@UCSF IRB approved). https://t.co/XVEsW
THRILLED to announce Philter, our new tool to deidentify clinical text. Now more than ever, safe & responsible sharing of #EHR data is needed to fight pandemics & disease, but text is hardest to share. @BeauNorgeot built a new tool w/ a great team!
The manuscript for our new tool, Protected Health Information (PHI) filter ("Philter" for short) is now live: https://t.co/EdangZn4Gb Philter accurately and automatically removes PHI from free text clinical notes, which can facilitate their availability fo
Protected Health Information filter (Philter): accurately and securely de-identifying free-text clinical notes https://t.co/i91r4e8aLN