stigsfoot commited on
Commit
9204d09
1 Parent(s): 3c39d82

Add: Readme

Browse files
Files changed (1) hide show
  1. README.md +69 -0
README.md CHANGED
@@ -1,3 +1,72 @@
1
  ---
2
  license: other
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: other
3
+ task_categories:
4
+ - text-classification
5
+ - table-question-answering
6
+ language:
7
+ - en
8
+ tags:
9
+ - medical
10
  ---
11
+
12
+ # Dataset Card for US Dialysis Facilities
13
+
14
+ <!-- Provide a quick summary of the dataset. -->
15
+
16
+ ## Dataset Details
17
+
18
+ The dataset includes a wide range of metrics, such as Five Star ratings, addresses, city/town, state, and various statistical measures related to the quality and outcomes of the facilities.
19
+
20
+ ### Dataset Description
21
+
22
+ <!-- Provide a longer summary of what this dataset is. -->
23
+ The "DFC_FACILITY.csv" dataset contains information about dialysis facilities, including certification, ratings, locations, and various performance measures.
24
+
25
+ - **Curated by:** Centers for Medicare and Medicaid
26
+ - **Shared by :** Centers for Medicare and Medicaid
27
+ - **Adapted for NLP tasks by:** Noble Ackerson @Byte An Atom Research
28
+
29
+ ### Dataset Sources
30
+
31
+ <!-- Provide the basic links for the dataset. -->
32
+
33
+ - **Repository:** https://data.cms.gov/provider-data/topics/dialysis-facilities
34
+
35
+ ## LLM Prototype Goal & Use case
36
+ Enhance the quality of dialysis care and patient experiences by providing actionable insights to healthcare providers and policymakers.
37
+
38
+ To do this I Fine-tune Llama 2 to create an intelligent decision support system that:
39
+
40
+ - Analyzes Facility Performance: Utilizes quality measures, clinical data, and patient surveys to evaluate individual dialysis facilities' performance.
41
+ - Generates Personalized Recommendations: Offers tailored recommendations for improvement based on identified weaknesses or areas of concern.
42
+ - Provides Comparative Analysis: Compares facilities at state and national levels to benchmark performance and identify best practices.
43
+ - Visualizes Patient Experience Insights: Processes ICH-CAHPS Survey data to visualize and interpret patient experiences, providing insights into patient satisfaction and areas for enhancing patient-provider relationships.
44
+
45
+
46
+ - **Demo [optional]:** https://colab.research.google.com/drive/1QyPJBiTezCzCCjkH3GlenlXGJCtxFSGz?usp=sharing
47
+
48
+ ## Uses
49
+
50
+ <!-- Address questions around how the dataset is intended to be used. -->
51
+ These are the official datasets used on Medicare.gov provided by the Centers for Medicare & Medicaid Services. These datasets allow you to compare the quality of care provided in Medicare-certified dialysis facilities nationwide.
52
+
53
+ ## Dataset Structure
54
+
55
+ <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
56
+
57
+ The dataset consists of 118 columns, covering various metrics and attributes of dialysis facilities. Some key columns include Certification Number, Facility Name, Five Star Rating, Address, and numerous statistical measures related to healthcare outcomes.
58
+ Each row represents a unique dialysis facility.
59
+
60
+ ## Dataset Creation
61
+
62
+ ### Curation Rationale
63
+
64
+ <!-- Motivation for the creation of this dataset. -->
65
+
66
+ These datasets allow you to compare the quality of care provided in Medicare-certified dialysis facilities nationwide.
67
+
68
+ #### Personal and Sensitive Information
69
+
70
+ <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
71
+
72
+ Given the dataset involves healthcare facilities, care should be taken to ensure no personal or sensitive patient information is included or can be derived.