Hi Ganhdi - I think you may just have to gather all Snomed codes of interest, and then select only those terms that match.
Snomed has a constraint language (https://confluence.ihtsdotools.org/display/DOCECL/A.1+Simple+Expression+Constraints+-+Valid+Expressions )that you can use to collect snomed codes that fall under a concept. An implementation of this is here: https://github.com/slaverman/SnoLyze hope that helps. Arron -----Original Message----- From: Gandhi Rajan Natarajan [mailto:gandhi.natara...@arisglobal.com] Sent: 11 September 2017 9:17 AM To: dev@ctakes.apache.org Subject: RE: Filtering disease term precisely from EventMention and loading MedDRA library for cTAKES Hi All, Could someone please throw some light on this and help me out? Regards, Gandhi -----Original Message----- From: Gandhi Rajan Natarajan [mailto:gandhi.natara...@arisglobal.com] Sent: Saturday, September 09, 2017 11:52 PM To: dev@ctakes.apache.org Subject: Filtering disease term precisely from EventMention and loading MedDRA library for cTAKES HI All, we have deployed temporal demo application available under https://github.com/healthnlp/examples/tree/master/ctakes-temporal-demo locally and referring to dictionaries(RxNORM,SnoMED) loaded in MySQL DB. We are trying to extract out disease terms using this application. When we tried out the text mentioned in user installation guide, " Dr. Nutritious Medical Nutrition Therapy for Hyperlipidemia Referral from: Julie Tester, RD, LD, CNSD Phone contact: (555) 555-1212 Height: 144 cm Current Weight: 45 kg Date of current weight: 02-29-2001 Admit Weight: 53 kg BMI: 18 kg/m2 Diet: General Daily Calorie needs (kcals): 1500 calories, assessed as HB + 20% for activity. Daily Protein needs: 40 grams, assessed as 1.0 g/kg. Pt has been on a 3-day calorie count and has had an average intake of 1100 calories. She was instructed to drink 2-3 cans of liquid supplement to help promote weight gain. She agrees with the plan and has my number for further assessment. May want a Resting Metabolic Rate as well. She takes an aspirin a day for knee pain", it extracted out 'Hyperlipidemia' and 'plan' as DiseaseDisorderMention. But we expected only disease terms to be extracted out(Hyperlipidemia) but "plan" is not what we expected. How do we avoid this or filter out only disease terms like fever, red eye, nausea etc. from the given text. Any help on this is greatly appreciated. Also please let us know is there a provision to load MedDRA dictionaries and lookup the same in cTAKES? If yes, please let us know how to achieve it? Thanks in advance Regards, Gandhi This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you are not the named addressee you should not disseminate, distribute or copy this e-mail. Please notify the sender or system manager by email immediately if you have received this e-mail by mistake and delete this e-mail from your system. If you are not the intended recipient you are notified that disclosing, copying, distributing or taking any action in reliance on the contents of this information is strictly prohibited and against the law. This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you are not the named addressee you should not disseminate, distribute or copy this e-mail. Please notify the sender or system manager by email immediately if you have received this e-mail by mistake and delete this e-mail from your system. If you are not the intended recipient you are notified that disclosing, copying, distributing or taking any action in reliance on the contents of this information is strictly prohibited and against the law.
