This is an initial invalid case (2023000032) received on 26-Jan-2023 by other health professional via a literature case report
(Lazarus HM, et al. Recombinant GM-CSF for diseases of GM-CSF insufficiency: Correcting dysfunctional mononuclear phagocyte disorders.
Front Immunol 2023 Jan 5;13) and (Luke JJ et.al. Single Institution Experience of Ipilimumab 3 mg/kg with Sargramostim (GM-CSF)
in Metastatic Melanoma. Cancer Immunol. Sep;3(9):986–991.)
which refers to a patient (Height: 170 Weight: 70 (initials: john, of unknown age:60 and gender:male.
The patient’s past medical history and past drug therapy were not reported.
The patient’s concomitant medications were not reported.
On an unspecified date, the patient took suspect drug Sargramostim (GM-CSF) (Batch/Lot no: unknown)
Subcutaneously 250 μg flat dose at home on days 1 to 14 of each ipilimumab cycle and the co-suspect drug Ipilimumab was taken
Intravenously at a standard dose of 3 mg/kg every 3 weeks for 4 doses for Metastatic melanoma.
On an unspecified date, the patient experienced non-serious events of Hypophysitis.
At the time of this report, action taken with suspect drug Sargramostim (GM-CSF) was unknown.
At the time of this report, the outcome for the event was unknown.
The author’s causality of the events with the suspect drug Sargramostim (GM-CSF) was possible.
The case was considered as non-serious. This case was linked to 2023000031.

This the example i need value extract the value patient_name,height,weight,initial ,drug_name ,report_type,case_number,product_name,received_date, this all value i need to fetch using NLTK,NLP dynamicaly not using regular expression

value={
 patient_name:john,
height:170,
weight:70,
initial :john,
drug_name :Sargramostim,
report_type:other health professional,
case_number:2023000032,
product_name:Sargramostim,
received_date:26-Jan-2023,
}