|
import streamlit as st |
|
|
|
|
|
st.markdown(""" |
|
|
|
## FHIR - CT - Graph |
|
|
|
# FHIR: |
|
https://huggingface.co/spaces/awacke1/Clinical-Terminology-FHIR-Assessment |
|
https://huggingface.co/spaces/awacke1/SMART-FHIR-Assessment-Observation-SDKs |
|
https://huggingface.co/spaces/awacke1/SMART-FHIR-Kits-SDC-HL7 |
|
https://huggingface.co/spaces/awacke1/SMART-FHIR-Assessment-Blood-Pressure |
|
https://huggingface.co/spaces/awacke1/SMART-FHIR-Assessment-Exercise |
|
|
|
# Clinical Terminology: |
|
https://huggingface.co/spaces/awacke1/Ontology-Gradio |
|
https://huggingface.co/spaces/awacke1/Biomed-NLP-AI-Clinical-Terminology |
|
https://huggingface.co/spaces/awacke1/ClinicalTerminologyNER-Refactored |
|
https://huggingface.co/spaces/awacke1/ClinicalTerminologyAISearch |
|
https://huggingface.co/spaces/awacke1/ClinicalTerminologyAISearch1215 |
|
|
|
# Graph, Clinical Terminology, FHIR Apps and Services: |
|
https://huggingface.co/spaces/awacke1/Git-GPG-Git-Actions-01-GraphViz |
|
https://huggingface.co/spaces/awacke1/Dice-Roll-Treemap-Plotly |
|
https://huggingface.co/spaces/awacke1/GraphVis3 |
|
https://huggingface.co/spaces/awacke1/GraphViz-Demo |
|
https://huggingface.co/spaces/awacke1/StreamlitGraphViz |
|
https://huggingface.co/spaces/awacke1/CardGameActivity-GraphViz |
|
|
|
# CP Matplotlib, NetworkX, Streamlit, PyVis, st-click0detector, graphviz: |
|
https://huggingface.co/spaces/awacke1/CPVisGraph |
|
|
|
# OMS and LOCUS: |
|
https://huggingface.co/spaces/awacke1/NLPGraphOMSandLOCUS |
|
|
|
# Technical Architecture - Open Source Graph ML Libraries: |
|
NetworkX: https://networkx.org/ |
|
PyTorch GNN: https://github.com/microsoft/ptgnn |
|
Jraph: https://github.com/deepmind/jraph |
|
Spektral: https://graphneural.network/ |
|
Graph Nets: https://github.com/deepmind/graph_nets |
|
Deep Graph Library (DGL): https://github.com/dmlc |
|
PyTorch Geometric: https://github.com/pyg-team/pytorch_geometric |
|
|
|
# Provider Graph - Maps of Hospitals |
|
|
|
https://huggingface.co/spaces/awacke1/MN.Map.Hospitals.Top.Five |
|
![image](https://user-images.githubusercontent.com/30595158/226150906-65fcdb27-b234-4500-8cd8-c6b88d1afa05.png) |
|
|
|
|
|
|
|
# Graph, Clinical Terminology, FHIR Apps and Services: |
|
|
|
CP Matplotlib, NetworkX, Streamlit, PyVis, st-click0detector, graphviz: |
|
https://huggingface.co/spaces/awacke1/CPVisGraph |
|
|
|
OMS and LOCUS: |
|
https://huggingface.co/spaces/awacke1/NLPGraphOMSandLOCUS |
|
|
|
https://huggingface.co/spaces/awacke1/Git-GPG-Git-Actions-01-GraphViz |
|
https://huggingface.co/spaces/awacke1/Dice-Roll-Treemap-Plotly |
|
https://huggingface.co/spaces/awacke1/GraphVis3 |
|
https://huggingface.co/spaces/awacke1/GraphViz-Demo |
|
https://huggingface.co/spaces/awacke1/StreamlitGraphViz |
|
https://huggingface.co/spaces/awacke1/CardGameActivity-GraphViz |
|
|
|
Technical Architecture - Open Source Graph ML Libraries: |
|
|
|
NetworkX: https://networkx.org/ |
|
PyTorch GNN: https://github.com/microsoft/ptgnn |
|
Jraph: https://github.com/deepmind/jraph |
|
Spektral: https://graphneural.network/ |
|
Graph Nets: https://github.com/deepmind/graph_nets |
|
Deep Graph Library (DGL): https://github.com/dmlc |
|
PyTorch Geometric: https://github.com/pyg-team/pytorch_geometric |
|
|
|
|
|
|
|
# Clinical Terminology: |
|
# FHIR: |
|
https://huggingface.co/spaces/awacke1/Clinical-Terminology-FHIR-Assessment |
|
https://huggingface.co/spaces/awacke1/SMART-FHIR-Assessment-Observation-SDKs |
|
https://huggingface.co/spaces/awacke1/SMART-FHIR-Kits-SDC-HL7 |
|
https://huggingface.co/spaces/awacke1/SMART-FHIR-Assessment-Blood-Pressure |
|
https://huggingface.co/spaces/awacke1/SMART-FHIR-Assessment-Exercise |
|
|
|
|
|
# Clinical Terminology: |
|
https://huggingface.co/spaces/awacke1/Ontology-Gradio |
|
https://huggingface.co/spaces/awacke1/Biomed-NLP-AI-Clinical-Terminology |
|
https://huggingface.co/spaces/awacke1/ClinicalTerminologyNER-Refactored |
|
https://huggingface.co/spaces/awacke1/ClinicalTerminologyAISearch |
|
https://huggingface.co/spaces/awacke1/ClinicalTerminologyAISearch1215 |
|
|
|
|
|
|
|
|
|
# Saturday Evening: |
|
https://huggingface.co/spaces/awacke1/MN.Map.Hospitals.Top.Five |
|
![image](https://user-images.githubusercontent.com/30595158/226150906-65fcdb27-b234-4500-8cd8-c6b88d1afa05.png) |
|
|
|
|
|
# Iceland Myths - Places to See - https://huggingface.co/spaces/awacke1/Maps.Markers.Honor.Iceland |
|
![image](https://user-images.githubusercontent.com/30595158/226151615-71d82400-b849-419e-833c-e8632676bc49.png) |
|
|
|
Γsbyrgi: Thor, trying to prove his strength, challenged Sleipnir to a race. Odin agreed, but secretly fed Sleipnir his favorite snack, lightning bolts. With each step, Sleipnir left a massive print, and thus, Γsbyrgi was formed. |
|
|
|
![image](https://user-images.githubusercontent.com/30595158/226151903-2298f479-f829-48bb-83e5-546677da85ac.png) |
|
|
|
|
|
|
|
# Saturday |
|
write a streamlit python program that uses functions and user interface elements of a textbox, a dial, a four direction button array for up down left right and display a folium map with the data in python list dictionaries with these values: Aurora Spottings, Notifications on Nerthern Lights, Northern lights map location cities and countries for Iceland on a map written with folium for latitude and longitude of top ten places to view Northern Lights. Cite References as urls. |
|
|
|
# Maps |
|
|
|
Space | URL |
|
------------------------------------------------------------------------------------------------------------------------------------------- |
|
awacke1/VizLib-TopLargeHospitalsNewJersey-03-09-2023 | https://huggingface.co/spaces/awacke1/VizLib-TopLargeHospitalsNewJersey-03-09-2023 |
|
awacke1/Bird-Species-Migration-Month-Map | https://huggingface.co/spaces/awacke1/Bird-Species-Migration-Month-Map |
|
βοΈπ§ π¬π§¬ Clinical Terminology Auto Mapper AI π©ββοΈπ©ΊβοΈπ | https://huggingface.co/spaces/awacke1/SNOMED-LOINC-eCQM |
|
awacke1/Visualization-Plotly-Sunbursts-Treemaps-and-WebGL | https://huggingface.co/spaces/awacke1/Visualization-Plotly-Sunbursts-Treemaps-and-WebGL |
|
awacke1/HTML5-Aframe-3D-Maps | https://huggingface.co/spaces/awacke1/HTML5-Aframe-3D-Maps |
|
awacke1/HTML5-Aframe-3dMap-Flight | https://huggingface.co/spaces/awacke1/HTML5-Aframe-3dMap-Flight |
|
|
|
Figures: |
|
![image](https://user-images.githubusercontent.com/30595158/226116055-25b8c900-bc10-472d-8b5f-61c7b8b5452b.png) |
|
|
|
|
|
|
|
# Top Ten Board Games |
|
## Map-Making-Strategy |
|
https://huggingface.co/spaces/awacke1/Top-Ten-Board-Games-Map-Making-Strategy |
|
|
|
|
|
|
|
# MediaPipe |
|
### A cross language SDK for AI that is real time, 3d, camera responsive, and on any device for nearly any language |
|
#### Vision |
|
#### Natural Language |
|
#### Audio |
|
|
|
Mediapipe has fast and flexible AI/ML pipelines. |
|
Examples with Javascript Links! |
|
|
|
1. Image Classifier: https://mediapipe-studio.webapps.google.com/demo/image_classifier |
|
2. Object Detector: https://mediapipe-studio.webapps.google.com/demo/object_detector |
|
3. Text Classification: https://mediapipe-studio.webapps.google.com/demo/text_classifier |
|
4. Gesture Recognizer: https://mediapipe-studio.webapps.google.com/demo/gesture_recognizer |
|
5. Hand Landmark Detection: https://mediapipe-studio.webapps.google.com/demo/hand_landmarker |
|
6. Audio Classifier: https://mediapipe-studio.webapps.google.com/demo/audio_classifier |
|
|
|
|
|
Get started with just Javascript!! |
|
Getting Started: https://google.github.io/mediapipe/getting_started/javascript.html |
|
|
|
Javascript Solutions - Ready to Demo: |
|
1. Face Mesh: https://codepen.io/mediapipe/full/KKgVaPJ |
|
2. Face Detection: https://codepen.io/mediapipe/full/dyOzvZM |
|
3. Hands: https://codepen.io/mediapipe/full/RwGWYJw |
|
4. Face, Hands, Body: https://codepen.io/mediapipe/full/LYRRYEw |
|
5. Objectron: https://codepen.io/mediapipe/full/BaWvzdY |
|
6. Full Skeletal Pose: https://codepen.io/mediapipe/full/jOMbvxw |
|
7. Self Segmentation From Background: https://codepen.io/mediapipe/full/wvJyQpq |
|
|
|
Demonstration in Action with Screenshots: |
|
|
|
Self Segmentation From Background: |
|
![image](https://user-images.githubusercontent.com/30595158/225767564-786928a3-7c91-4df1-babb-0cc4c2b71460.png) |
|
|
|
Full Skeletal Pose: |
|
![image](https://user-images.githubusercontent.com/30595158/225767721-6f088349-3f56-41b3-85d4-98f2456dc165.png) |
|
|
|
Hands - Both in 3D Projection even hidden surface vertices - Mahalo: |
|
![image](https://user-images.githubusercontent.com/30595158/225767970-0e1000e8-72a8-4276-a6f0-ccfcd3ac6d72.png) |
|
|
|
Holistic - Face, Hands, Body: |
|
![image](https://user-images.githubusercontent.com/30595158/225768092-2cb4a144-7033-46b1-a476-3e0ec376eb36.png) |
|
|
|
Face Detection: |
|
![image](https://user-images.githubusercontent.com/30595158/225768256-c97c0f62-6ef9-4c7e-aa41-8eaf4f344a3d.png) |
|
|
|
Face Mesh Real Time - 30 Frames per second! |
|
![image](https://user-images.githubusercontent.com/30595158/225768360-c64197ff-919f-47a9-8cc0-c6d5e73e5853.png) |
|
|
|
|
|
|
|
# ASR Voice and Virtual Assistants With Avatars |
|
1. https://huggingface.co/spaces/awacke1/ASR-openai-whisper-large |
|
2. https://huggingface.co/spaces/awacke1/ASR-voidful-wav2vec2-xlsr-multilingual-56 |
|
3. https://huggingface.co/spaces/awacke1/ASR-nvidia-stt_en_conformer_ctc_large |
|
4. https://huggingface.co/spaces/awacke1/ASR-facebook-hubert-large-ls960-ft |
|
5. https://huggingface.co/spaces/awacke1/ASR-openai-whisper-tiny.en |
|
6. https://huggingface.co/spaces/awacke1/ASR-openai-whisper-tiny |
|
7. https://huggingface.co/spaces/awacke1/ASR-openai-whisper-medium |
|
8. https://huggingface.co/spaces/awacke1/ASR-nvidia-stt_en_conformer_transducer_xlarge |
|
9. https://huggingface.co/spaces/awacke1/ASR-openai-whisper-base |
|
10. https://huggingface.co/spaces/awacke1/ASR-facebook-wav2vec2-large-960h-lv60-self |
|
11. https://huggingface.co/spaces/awacke1/ASR-facebook-wav2vec2-base-960h |
|
12. https://huggingface.co/spaces/awacke1/ASR-High-Accuracy-Test |
|
13. https://huggingface.co/spaces/awacke1/ASRGenerateStory |
|
14. https://huggingface.co/spaces/awacke1/TTS-STT-Blocks |
|
15. https://huggingface.co/spaces/awacke1/2-LiveASR |
|
16. https://huggingface.co/spaces/awacke1/CloneAnyVoice |
|
17. https://huggingface.co/spaces/awacke1/ASR-SOTA-NvidiaSTTMozilla |
|
18. https://huggingface.co/spaces/awacke1/ASRSpeechRecognition1 |
|
19. https://huggingface.co/spaces/awacke1/1110-ASRLiveExample |
|
20. https://huggingface.co/spaces/awacke1/Z1-ASRLiveSpeechRecognition-GR |
|
21. https://huggingface.co/spaces/awacke1/PrivateASRWithMemory |
|
22. https://huggingface.co/spaces/awacke1/TimerASRLive |
|
|
|
# Best Voice Apps - HF: |
|
1. https://huggingface.co/spaces/BilalSardar/Voice-Cloning |
|
2. https://huggingface.co/spaces/RamAnanth1/chatGPT_voice |
|
3. https://huggingface.co/spaces/Voicemod/speech-synthesis-demo |
|
4. https://huggingface.co/spaces/ysharma/Voice-to-Youtube |
|
5. https://huggingface.co/spaces/ramkamal2000/voice-conversion-yourtts |
|
6. https://huggingface.co/spaces/RamAnanth1/co_chat_voice |
|
7. https://huggingface.co/spaces/ysharma/Voice-to-jokes |
|
8. https://huggingface.co/spaces/jayesh95/Voice-QA |
|
|
|
|
|
|
|
# Supervised Learning (SL) for ML and Reinforcement Learning with Human Feedback (RLHF): |
|
|
|
For human imitation we use reinforcement learning for fine tuning since feedback based on rewards shapes the quality of output where an agent completes a task and then observes a result. SL works on ranks not responses so is good for modifying elements at the token level however RLHF is trained to estimate the quality of the response with cumulative rewards for coherent conversation. RLHF considers context and coherence of entire conversation. Supervised learning is used to teach the model initially where the model learns basic structure and content. In the RLHF stage the model is refined with responses that represent improved accuracy. |
|
|
|
|
|
|
|
|
|
|
|
# Mermaid Model for Core NLP Tasks: |
|
|
|
```mermaid |
|
graph LR; |
|
A[Reader]-->B[Classifier]; |
|
A-->C[Retriever]; |
|
A-->D[Summarizer]; |
|
B-->E[Ranker]; |
|
B-->F[Query Classifier]; |
|
D-->G[Generator]; |
|
F-->H[Question Generator]; |
|
H-->G; |
|
I[File Converter]-->J[Preprocessor]; |
|
J-->A; |
|
I-->C; |
|
K[Snowflake]-->B; |
|
L[Oracle]-->B; |
|
M[Pandas CSV]-->A; |
|
N[Index]-->C; |
|
N-->E; |
|
O[Query with Filters]-->F; |
|
P[Evaluation]-->E; |
|
P-->F; |
|
Q[Retraining]-->B; |
|
Q-->E; |
|
R[Annotation]-->B; |
|
``` |
|
|
|
# Core NLP Task Model for QA |
|
|
|
Tasks: |
|
1. Reader |
|
2. Summarizer |
|
3. Classifier |
|
4. Retriever |
|
5. Ranker |
|
6. Query Classifier |
|
7. Question Generator |
|
8. Generator |
|
|
|
Connectors: |
|
1. File Converter |
|
2. Preprocessor |
|
3. Snowflake |
|
4. Oracle |
|
5. Pandas CSV |
|
|
|
Supported Workflow: |
|
1. Index |
|
2. Query with Filters |
|
3. Evaluation |
|
4. Retraining |
|
5. Annotation |
|
|
|
# QA Model Spaces: |
|
|
|
QA use cases include QA, Semantic Document and FAQ Search. |
|
|
|
1. Streamlit Question Answering w Hugging Face: https://huggingface.co/spaces/awacke1/Question-answering |
|
2. Seq2Seq: |
|
- https://huggingface.co/spaces/awacke1/4-Seq2SeqQAT5 |
|
- https://huggingface.co/spaces/awacke1/AW-04-GR-Seq-2-Seq-QA-Auto-Gen |
|
- |
|
3. BioGPT: https://huggingface.co/spaces/awacke1/microsoft-BioGPT-Large-PubMedQA |
|
4. NLP QA Context: https://huggingface.co/spaces/awacke1/NLPContextQATransformersRobertaBaseSquad2 |
|
- https://huggingface.co/spaces/awacke1/SOTA-Plan |
|
5. https://huggingface.co/spaces/awacke1/Question-answering |
|
6. QA MLM: https://huggingface.co/spaces/awacke1/SOTA-MedEntity |
|
|
|
# π€ QA Models and Datasets: |
|
|
|
- Reader model extracts answers from text using QA pairs. SQuAD is the primary dataset. |
|
- Transformers (huggingface) has research momentum and solves real business problems. |
|
|
|
## π» Process: |
|
|
|
1. Best practices for QA systems: https://www.youtube.com/playlist?list=PLHgX2IExbFotW6WgDZ-cMzpDBUNKCMBbF |
|
2. Optimize Question/Answer Heads for SQuAD. |
|
3. QA search to ask questions to textual kb. |
|
4. Return text sections as answers. |
|
5. Organize text collection. |
|
6. Find similar documents to given input. |
|
7. Perform semantic and comprehensive word matching. |
|
8. Match incoming questions to FAQ KB dataset. |
|
|
|
## π Tasks: |
|
|
|
1. Visual, |
|
2. Document, and |
|
3. Table QA. |
|
4. Zero Shot Classification. |
|
5. Translation. |
|
6. Conversational/Chat. |
|
7. Text2Text Generation. |
|
8. ASR/TTS. |
|
|
|
# Mermaid model |
|
|
|
```mermaid |
|
graph LR; |
|
A[Reader model]-->B[SQuAD]; |
|
C[Transformers from Huggingface]-->D[Real Business Problems]; |
|
E[Best practices for QA systems]-->F[Optimize Question/Answer Heads for SQuAD]; |
|
G[QA search]-->H[Textual KB]; |
|
H-->I[Return text sections as answers]; |
|
J[Organize text collection]-->K[Find similar documents to given input]; |
|
K-->I; |
|
L[Perform semantic and comprehensive word matching]-->I; |
|
M[Match incoming questions to FAQ KB dataset]-->I; |
|
N[Visual QA]-->O[Document QA]; |
|
N-->P[Table QA]; |
|
Q[Zero Shot Classification]-->I; |
|
R[Translation]-->I; |
|
S[Conversational/Chat]-->I; |
|
T[Text2Text Generation]-->I; |
|
U[ASR/TTS]-->I; |
|
|
|
``` |
|
|
|
# Top 50 Assessments in Physical and Mental Health |
|
|
|
Below are the top 50 mental and physical health assessments. |
|
1. **Patient Health Questionnaire (PHQ-9)** π§ - Major depressive disorder (ICD-10: F32) |
|
2. **Generalized Anxiety Disorder 7-item Scale (GAD-7)** π° - Generalized anxiety disorder (ICD-10: F41.1) |
|
3. **Hamilton Rating Scale for Depression (HRSD)** π§ - Major depressive disorder (ICD-10: F32) |
|
4. **World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0)** π§ πͺ - Physical and mental disability (ICD-10: Z73.1) |
|
5. **Short Form-36 Health Survey (SF-36)** πͺπ§ - Health-related quality of life (CPT: 99499) |
|
6. **Health Assessment Questionnaire (HAQ)** πͺ - Functional status assessment (CPT: 97750) |
|
7. **EuroQol-5D (EQ-5D)** πͺπ§ - Health-related quality of life (LOINC: 83792-6) |
|
8. **Geriatric Depression Scale (GDS)** π§βπ¦³π§ - Depression in older adults (ICD-10: F32.1) |
|
9. **Mini-Mental State Examination (MMSE)** π§βπ¦³π - Cognitive impairment (ICD-10: F06.7) |
|
10. **Pain Catastrophizing Scale (PCS)** π - Chronic pain (LOINC: 86351-6) |
|
11. **Oswestry Disability Index (ODI)** πͺπ - Back pain (CPT: 97750) |
|
12. **Fibromyalgia Impact Questionnaire (FIQ)** ππ© - Fibromyalgia (SNOMED: 316962002) |
|
13. **Beck Depression Inventory (BDI)** π§ - Depression (ICD-10: F32) |
|
14. **Posttraumatic Stress Disorder Checklist (PCL)** π°π - Posttraumatic stress disorder (ICD-10: F43.1) |
|
15. **Alcohol Use Disorders Identification Test (AUDIT)** π» - Alcohol use disorder (ICD-10: F10) |
|
16. **Drug Abuse Screening Test (DAST)** π - Substance use disorder (ICD-10: F19) |
|
17. **Eating Attitudes Test (EAT)** π΄ - Eating disorders (ICD-10: F50) |
|
18. **Adolescent Eating Disorder Examination (ADE)** π΄π©βπ¦° - Eating disorders in adolescents (ICD-10: F50) |
|
19. **Child Behavior Checklist (CBCL)** π§π§ - Child behavior problems (ICD-10: F90) |
|
20. **Autism Spectrum Quotient (AQ)** π§β𦱠- Autism spectrum disorder (ICD-10: F84.0) |
|
21. **Columbia-Suicide Severity Rating Scale (C-SSRS)** π©Έ - Suicide risk (ICD-10: Z65.8) |
|
22. **Perceived Stress Scale (PSS)** π© - Stress (LOINC: 75217-3) |
|
23. **Satisfaction with Life Scale (SWLS)** π - Life satisfaction (LOINC: 69406-9) |
|
24. **Health Belief Model Scale (HBM)** ππ - Health beliefs (LOINC: 88018) |
|
25. **Multidimensional Health Locus of Control Scale (MHLC)** ππ - Health locus of control (LOINC: 87561-7) |
|
26. **Life Orientation Test-Revised (LOT-R)** π - Optimism (LOINC: 75315-5) |
|
27. **State-Trait Anxiety Inventory (STAI)** π° - Anxiety (LOINC: 71092-3) |
|
28. **Multidimensional Scale of Perceived Social Support (MSPSS)** π₯ - Social support (LOINC: 86649-4) |
|
29. **Job Content Questionnaire (JCQ)** πΌ - Job stress (LOINC: 76554-9) |
|
30. **Burnout Measure (BO)** π₯ - Burnout (LOINC: 89049-8) |
|
31. **Family Assessment Device (FAD)** π¨βπ©βπ§ - Family functioning (LOINC: 84113-2) |
|
32. **Perceived Control Scale (PCS)** πͺ - Perceived control (LOINC: 86447-0) |
|
33. **General Self-Efficacy Scale (GSES)** πͺ - Self-efficacy (LOINC: 76563-0) |
|
34. **Coping Strategies Inventory (CSI)** π - Coping strategies (LOINC: 89057-1) |
|
35. **Acceptance and Action Questionnaire (AAQ-II)** π§ - Acceptance and commitment therapy (LOINC: 88027-2) |
|
36. **Attention Deficit Hyperactivity Disorder Self-Report Scale (ASRS)** π§π§ - ADHD (ICD-10: F90) |
|
37. **Impact of Event Scale-Revised (IES-R)** ππ - Trauma (LOINC: 86237-7) |
|
38. **Insomnia Severity Index (ISI)** π€ - Insomnia (LOINC: 82451-5) |
|
39. **Social Phobia Inventory (SPIN)** π° - Social anxiety disorder (ICD-10: F40.1) |
|
40. **Panic Disorder Severity Scale (PDSS)** π° - Panic disorder (ICD-10: F41.0) |
|
41. **Yale-Brown Obsessive Compulsive Scale (Y-BOCS)** π€ - Obsessive-compulsive disorder (ICD-10: F42) |
|
42. **Social Interaction Anxiety Scale (SIAS)** π° - Social anxiety disorder (ICD-10: F40.1) |
|
43. **Generalized Anxiety Disorder Scale (GADS)** π° - Generalized anxiety disorder (ICD-10: F41.1) |
|
44. **Postpartum Depression Screening Scale (PDSS)** π€±π§ - Postpartum depression (ICD-10: F53.0) |
|
45. **Child and Adolescent Symptom Inventory (CASI)** π§π§π§ - Child and adolescent mental health (ICD-10: F90) |
|
46. **Strengths and Difficulties Questionnaire (SDQ)** π§π§π§ - Child and adolescent mental health (ICD-10: F90) |
|
47. **Kessler Psychological Distress Scale (K10)** π§ - Psychological distress (LOINC: 76550-6) |
|
48. **World Health Organization Quality of Life Scale (WHOQOL)** πͺπ§ - Quality of life (LOINC: 88055-2) |
|
49. **Multidimensional Pain Inventory (MPI)** π - Chronic pain (LOINC: 71808-8) |
|
50. **Cornell Scale for Depression in Dementia (CSDD)** π΄π΅π§ - Depression in dementia patients (ICD-10: F03.90) |
|
|
|
|
|
# SMART/FHIR/SDC Survey-Assess-Plan |
|
|
|
These SMART/FHIR/SDC compatible Surveys demonstrate how to build and conducct surveys with EMR/EHR Compliance Standards |
|
|
|
1. Smart FHIR Connect and Test BMI Calculator: https://huggingface.co/spaces/awacke1/SMART-FHIR-Assessment-BMI |
|
2. Smart FHIR Kits SDC HL7: https://huggingface.co/spaces/awacke1/SMART-FHIR-Kits-SDC-HL7 |
|
3. Smart FHIR Assessment Exercise: https://huggingface.co/spaces/awacke1/SMART-FHIR-Assessment-Exercise |
|
4. Smart FHIR Assessment Blood Pressure: https://huggingface.co/spaces/awacke1/SMART-FHIR-Assessment-Blood-Pressure |
|
5. Smart FHIR - Observations-Assessments-Rules-Referrals-Providers-Programs-Fulfillment-Alerrts-Notes-SDOH: https://huggingface.co/spaces/awacke1/SMART-FHIR-Assessment-Observation-SDKs |
|
|
|
|
|
# Graphs Survey-Assess-Plan-Goals |
|
|
|
These top 5 graph examples introduce visual ideas to use to survey, assess, plan and reach goals. |
|
|
|
1. Graph OMS and LOCUS Standards and Quality Metrics: https://huggingface.co/spaces/awacke1/NLPGraphOMSandLOCUS |
|
2. Graph Pain and High Medium Low Confidence: https://huggingface.co/spaces/awacke1/VISNLP-Graph |
|
3. Graph Action Mechanics: https://huggingface.co/spaces/awacke1/CardGameActivity-GraphViz |
|
4. Graph - OMS, MH, Charts, Maps, DOT lang for Pyvis VisJS: https://huggingface.co/spaces/awacke1/CPVisGraph |
|
5. Graph - Plan and Assess: https://huggingface.co/spaces/awacke1/Git-GPG-Git-Actions-01-GraphViz |
|
|
|
# ICD10, CPT, LOINC, SNOMED, HCPCS, OMS Codes for Top Health Conditions and Treatment Preferences Assessment |
|
|
|
Assess Topic| Assess Metric | Code Emoji | Code Topic | Code Type | Code |
|
------------|---------------|------------|------------|------------|----------- |
|
Childhood Immunization| % of children immunized by age two |π§π | Clinical Code| ICD10 | Z28.2 |
|
Breast Cancer Screening| % of women with mammogram in past 2 yrs |π©Ίπ | Clinical Code| CPT| 77067 |
|
Colorectal Cancer Screening| % of adults screened for colorectal cancer| π©Ίπ© | Clinical Code| CPT| 82274 |
|
Comprehensive Diabetes Care| % of diabetic patients who had all recommended tests| π©Ίπ©Ή | Clinical Code| LOINC| 4548-4 |
|
Controlling High Blood Pressure| % of patients with controlled blood pressure| π©Ίπ | Clinical Code| ICD10|I10 |
|
Medication Management for Asthma| % of asthma patients with proper meds| ππ¬οΈ | Clinical Code| SNOMED|195967001 |
|
Follow-up After Mental Illness Hospitalization| % of patients with follow-up care| π©Ίπ₯ | Clinical Code| HCPCS|G0181 |
|
Prenatal & Postpartum Care| % of pregnant women with proper care |π€°π©Ί | Clinical Code| ICD10|Z34 |
|
Comprehensive Eye Exam| % of diabetic patients with eye exam |π©Ίπ | Clinical Code| CPT| 92014 |
|
Childhood Weight Assessment| % of children with BMI assessment |π§π | Clinical Code| ICD10| Z00.121 |
|
Chlamydia Screening in Women| % of sexually active women screened| π©Ίπ© | Clinical Code| CPT|87491 |
|
Avoidance of Antibiotic Treatment for Acute Bronchitis| % of patients without antibiotics |π©Ίπ | Clinical Code| ICD10|J20.9 |
|
Osteoporosis Management in Women|% of women with bone density test |π©Ίπͺ | Clinical Code| CPT|77080 |
|
Use of High-Risk Medications in the Elderly| % of elderly with safe meds |ππ΄π΅ | Clinical Code| HCPCS |G9612 |
|
Diabetes Screening for Schizophrenia or Bipolar Disorder| % of patients with mental illness screened |π§ π©Ί | Clinical Code| SNOMED| 169609005 |
|
All-Cause Readmissions| % of patients readmitted within 30 days |π©Ίπ₯ | Clinical Code| ICD10| Z51.5 |
|
Antidepressant Medication Management| % of depressed patients with proper meds & follow-up |π©Ίπ§ | Clinical Code| CPT|96127 |
|
Follow-up Care for Children Prescribed ADHD Medication|% of children with follow-up care |π©Ίπ§ | Clinical Code| ICD10|F90 |
|
Imaging Studies for Low Back Pain| % of patients without imaging studies|π©Ίπ | Clinical Code| ICD10|M54.5 |
|
Spirometry Testing for COPD|% of COPD patients with spirometry testing |π©Ίπ« | Clinical Code|CPT|94010 |
|
|
|
|
|
""") |