majiayu000/claude-arsenal
xiaohongshu
xiaohongshu
286 148
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Diagnosis.
An important skill, to help agents assist doctors with diagnosising patients.
SKILL.md
Full skill instructions
Diagnosis tasks
Extrapolate symptoms
This action can extrapolate and gather symptoms from natural language input
from langchain.chat_models import init_chat_model
from entities import DetectionEntity, SymptomsOutputState
def extrapolate_symptoms(text: str, score: float = 0.95): -> SymptomsOutputState
# Documentation: https://docs.aws.amazon.com/comprehend-medical/latest/dev/gettingstarted-api.html
model = init_chat_model("aws.comprehendmedical.detect-entities-v2");
response = model.invoke(text);
high_confidence = []
low_confidence = []
for entity in response:
if entity.score >= score:
high_confidence.append(entity)
else:
low_confidence.append(entity)
return SymptomsOutputState(
high_confidence=high_confidence,
confidence_below_treshold=low_confidence
)
Find potential diagnosis
This action will find potential diagnosis, based on common external resources
def find_potential_diagnose(symptoms):
""" This function will return 1 or more diagnosis, based on array of symptoms """
# Mock Code
# ...
Suggest Next Steps
In case a diagnosis is inconclusive, but more tests is needed, this task will find the best next step to in the diagnosis
def find_next_steps(symptoms, diagnosis):
# Mock Code
# ...
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