krishnareddy commited on
Commit
2731678
1 Parent(s): 4b66725

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +24 -0
README.md CHANGED
@@ -7,6 +7,7 @@ tags:
7
  - ICD10
8
  pretty_name: ICD10 DX Code Description
9
  ---
 
10
  # ICD10 Diagnosis Description Mapping Dataset
11
 
12
  ## Overview
@@ -81,6 +82,29 @@ Here's an example of how to use this dataset and the model:
81
  # Output: "Chronic obstructive pulmonary disease, unspecified"
82
  ```
83
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
84
  ## Citation
85
 
86
  If you use this dataset or the pre-trained model in your research or applications, please consider citing the source or authors for proper attribution.
 
7
  - ICD10
8
  pretty_name: ICD10 DX Code Description
9
  ---
10
+
11
  # ICD10 Diagnosis Description Mapping Dataset
12
 
13
  ## Overview
 
82
  # Output: "Chronic obstructive pulmonary disease, unspecified"
83
  ```
84
 
85
+ **Warning: Potential Mapping Errors**
86
+
87
+ This dataset has been harnessed from another rule-based NLP application, and it's important to be aware of the possibility of errors in the mapping of clinical text to standard codes or standard descriptions. While every effort has been made to ensure accuracy, there are inherent challenges in automated mapping processes, especially when dealing with complex medical terminology and variations in clinical documentation.
88
+
89
+ Users should exercise caution when relying on the generated results and consider the following:
90
+
91
+ 1. **Clinical Variation:** Clinical documentation can vary significantly in style and terminology, which may lead to inaccuracies in mapping.
92
+
93
+ 2. **Complex Cases:** Some medical conditions or descriptions may not have a one-to-one mapping to standard codes or descriptions, resulting in potential discrepancies.
94
+
95
+ 3. **Data Quality:** The accuracy of the mapping is also dependent on the quality and consistency of the input clinical text.
96
+
97
+ 4. **Continuous Improvement:** Efforts are ongoing to improve the accuracy of the mapping, and users are encouraged to provide feedback and report any discrepancies.
98
+
99
+ It is advisable to cross-verify the results generated by this dataset, especially in critical healthcare applications where accuracy is paramount.
100
+
101
+ Please use this dataset responsibly and in conjunction with clinical expertise to make informed decisions.
102
+
103
+ If you encounter any issues or have suggestions for improvement, please reach out to the dataset maintainers.
104
+
105
+ Thank you for your understanding and cooperation.
106
+
107
+
108
  ## Citation
109
 
110
  If you use this dataset or the pre-trained model in your research or applications, please consider citing the source or authors for proper attribution.