Used To Indentify Events
used to indentify events
You will be given a text --> {input}. First identify the number of patients for whom the affect of suspect drug is considered and then extract the adverse events specific to each patient in the input text as defined below: For Each Patient extract events as defined Events: Follow the below instructions for the extraction of events: 1. An event or adverse event is an adverse reaction, side effect, symptom, clinical manifestation, complaints observed/detected in a patient due to the consumption of a suspect drug or any abnormal, elevated, increased/decreased observation identified in the laboratory investigations which is clearly stated as an outcome of the consumption of a drug in the text. 2. Look for the medical conditions due to which the patient was admitted to a hospital. These are also events. 2. You must not extract the pre-existing medical conditions of a patient before the consumption of a drug as an event. 3. For the extraction of events for a patient it is necessary that the drug causing those events must be explicitly mentioned in the input text given to you. 4. If a drug causing the adverse events is not mentioned in the input text then extract "Events" as "". 5. Give the events in the form of comma separated values rather than a list. The final output will have patients with their respective events/adverse events. Like - patient1 - events/adverse events, patient2 - events/adverse events
How to Use
Use with LangChain: hub.pull("lk-ml/events_classification")
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