ai_cdss.cdss.CDSS#
- class ai_cdss.cdss.CDSS(scoring, n=12, days=7, protocols_per_day=5)[source]#
Clinical Decision Support System (CDSS) Class.
This system provides personalized recommendations for patients based on scoring data. It allows protocol recommendations, scheduling, and prescription adjustments.
- Parameters:
- scoringDataFrame
A DataFrame containing patient protocol scores.
- nint, optional
Number of top protocols to recommend, by default 12.
- daysint, optional
Number of days for scheduling, by default 7.
- protocols_per_dayint, optional
Maximum number of protocols per day, by default 5.
Methods
decide_prescription_swap(patient_id)Determine which prescriptions to swap based on their score.
get_prescriptions(patient_id)Retrieve the current prescriptions for a patient.
get_scores(patient_id, protocol_id)Retrieve scores for a given patient and protocol.
get_substitute(patient_id, protocol_id, ...)Find a suitable substitute for a given protocol.
get_top_protocols(patient_id)Select the top N protocols for a patient based on scores.
recommend(patient_id, protocol_similarity)Recommend prescriptions for a patient.
schedule_protocols(protocols)Distribute protocols across days while ensuring constraints.
- recommend(patient_id, protocol_similarity)[source]#
Recommend prescriptions for a patient.
- Return type:
DataFrame[ScoringSchema]- Parameters:
- patient_idint
The ID of the patient.
- protocol_similarityDataFrame
A DataFrame containing protocol similarity scores.
- Returns:
- DataFrame
A DataFrame mapping recommended protocol IDs to their scheduling details.
- schedule_protocols(protocols)[source]#
Distribute protocols across days while ensuring constraints.
- Parameters:
- protocolslist of int
List of protocol IDs to distribute.
- Returns:
- dict
A dictionary mapping days to scheduled protocols.
- decide_prescription_swap(patient_id)[source]#
Determine which prescriptions to swap based on their score.
- Return type:
List[int]- Parameters:
- patient_idint
The ID of the patient.
- Returns:
- list of int
List of protocol IDs to be swapped.
- get_substitute(patient_id, protocol_id, protocol_similarity, protocol_excluded=None)[source]#
Find a suitable substitute for a given protocol.
- Parameters:
- patient_idint
The ID of the patient.
- protocol_idint
The protocol to be substituted.
- protocol_similarityDataFrame
A DataFrame containing protocol similarity scores.
- protocol_excludedlist of int, optional
List of protocols to exclude from consideration, by default None.
- Returns:
- int
The ID of the substitute protocol, or None if no suitable substitute is found.
- get_top_protocols(patient_id)[source]#
Select the top N protocols for a patient based on scores.
- Return type:
List[int]- Parameters:
- patient_idint
The ID of the patient.
- Returns:
- list of int
A list of top protocol IDs.