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Sleeping
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import autogen
class DoctorAgent(autogen.Agent):
def diagnose(self, patient_data):
diagnosis = self.generate_diagnosis(patient_data)
return diagnosis
def generate_diagnosis(self, patient_data):
if patient_data['condition'] == 'Parkinson':
return "Patient diagnosed with early-stage Parkinson. Recommend Treatment A."
elif patient_data['condition'] == 'Alzheimer':
return "Patient diagnosed with Alzheimer. Recommend Treatment B."
else:
return "Further diagnosis needed."
class NurseAgent(autogen.Agent):
def monitor_patient(self, patient_data, treatment):
if patient_data['response'] == 'positive':
return f"Patient responding well to {treatment}."
else:
return f"Patient showing adverse effects to {treatment}. Alert doctor!"
class ClinicianAgent(autogen.Agent):
def specialize_support(self, condition):
if condition == "Parkinson":
return "Recommend additional physiotherapy sessions."
elif condition == "Alzheimer":
return "Recommend cognitive therapy."
else:
return "No specialized support needed."
class AICoordinator(autogen.Agent):
def __init__(self):
self.doctor_agent = DoctorAgent()
self.nurse_agent = NurseAgent()
self.clinician_agent = ClinicianAgent()
def coordinate_care(self, patient_data):
diagnosis = self.doctor_agent.diagnose(patient_data)
treatment = diagnosis.split("Recommend ")[1]
nurse_update = self.nurse_agent.monitor_patient(patient_data, treatment)
clinician_support = ""
if patient_data['condition'] in ['Parkinson', 'Alzheimer']:
clinician_support = self.clinician_agent.specialize_support(patient_data['condition'])
final_plan = f"Final Plan: {treatment}, {clinician_support}"
return final_plan
class AgentSystem:
def __init__(self):
self.coordinator = AICoordinator()
def coordinate_care(self, patient_data):
return self.coordinator.coordinate_care(patient_data) |