ICD-10 nternational Statistical Classification of Diseases and Related Health Problems - Ground Truth and some Experimental R Code for NL Classifier

BLOG --- https://dreamtolearn.com/ryan/r_journey_to_watson/17 SERVICE - http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/nl-classifier.html

Background

ICD-10 is the International Statistical Classification of Diseases and Related Health Problems 10th Revision. It's a REALLY long list of codes that hospitals and insurance companies use to classify treatments.

It's 65k+ rows of ailments. It's a big and interesting data set.

At a recent IBM Watson team summit, the data set came up in a conversation with a colleague. I was curious if we could create a QUICK AND DIRTY natural language classifier that would take a speech or text input, and output the top 10 most likely matches.

Benefits of such a system would include:

-More accurate tagging of PRIMARY and SECONDARY ICD 10 Codes - better data for all the reasons that the codes exist in the first place (better fit)

-More profitability for hospitals (assuming better tagging can translate to more successful claims from insurance companies)

-Save Time - less rework and re-classification

WIKI:  https://en.wikipedia.org/wiki/ICD-10#List

SOURCE CODE

CAVEAT: THIS GROUND TRUTH WAS PREPARED IN 30 MINUTES - IT IS NOT A SOLUTION, BUT RATHER AN EXAMPLE OF ONE PART OF A WIDER APPROACH. https://github.com/rustyoldrake/IBM_Watson_NLC_ICD10_Health_Codes BLOG: https://dreamtolearn.com/ryan/r_journey_to_watson/16

ICD-10 Organization ======

Here's what it looks like at a meta level:

Chapter Blocks Title I A00–B99 Certain infectious and parasitic diseases II C00–D48 Neoplasms III D50–D89 Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism IV E00–E90 Endocrine, nutritional and metabolic diseases V F00–F99 Mental and behavioural disorders VI G00–G99 Diseases of the nervous system VII H00–H59 Diseases of the eye and adnexa VIII H60–H95 Diseases of the ear and mastoid process IX I00–I99 Diseases of the circulatory system X J00–J99 Diseases of the respiratory system XI K00–K93 Diseases of the digestive system XII L00–L99 Diseases of the skin and subcutaneous tissue XIII M00–M99 Diseases of the musculoskeletal system and connective tissue XIV N00–N99 Diseases of the genitourinary system XV O00–O99 Pregnancy, childbirth and the puerperium XVI P00–P96 Certain conditions originating in the perinatal period XVII Q00–Q99 Congenital malformations, deformations and chromosomal abnormalities XVIII R00–R99 Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified XIX S00–T98 Injury, poisoning and certain other consequences of external causes XX V01–Y98 External causes of morbidity and mortality XXI Z00–Z99Factors influencing health status and contact with health services XXII U00–U99 Codes for special purposes

TOP TEN CLASSES (Taken from the 50 returned from the 5 X 10 functions)

watson.query.five.classifiers("bitten by a wild pig in the left leg") class confidence 1: W55 0.33606352760420066 2: M79 0.21942966846914216 3: S90 0.20187063115504736 4: S72 0.1867607490106112 5: M02 0.1849542951462859 6: R62 0.18333693860407277 7: Z63 0.14295376020063674 8: S71 0.13195078900692148 9: T16 0.11516054234192707 10: S59 0.09322628449385714