Others titles

  • Drug Symptoms Relationship
  • Drug Relation Database
  • Relationship Between Drug Indication and Side Effects

Keywords

  • Crowd Flower Data
  • Drugs and Symptoms of Diseases
  • Drug List
  • Drug Caused Diseases
  • Drug Caused Symptoms
  • Drugs Relationships
  • Drug Side Effects
  • Drug Therapeutic Effects

Drug Relationship Database

This dataset is about the relationship of a drug to certain symptoms or diseases. There are two types of relationships; A drug either “Caused side effects” or “was effective against symptom”.

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Description

This dataset is created by Crowd Flower. The data contains information filled out on forms by patients. The contributors at Crowd Flower then went through the data and determined the relationship of a drug to certain symptoms or diseases. There are two types of relationships. A drug either: Caused side effects – Drug gave me symptom.

– Was effective against a condition – Drug helped my disease
– Is prescribed for a certain disease – Drug was given to help my disease
– Is contraindicated in – Drug should not be taken if you have disease or symptom
– The second similarity was more about the statement itself. Those broke down into:
– Personal experiences – I started drug for disease
– Personal experiences negated – Drug did not cause symptom
– Impersonal experiences – I’ve heard drug causes symptom
– Impersonal experiences negated – I’ve read rug doesn’t cause symptom
– Question – Have you tried drug?

About this Dataset

Data Info

Date Created

2016-11-22

Last Modified

2018-05-28

Version

2018-05-28

Update Frequency

Biennial

Temporal Coverage

N/A

Spatial Coverage

N/A

Source

John Snow Labs; Data.World, Crowd Flower;

Source License URL

Source License Requirements

N/A

Source Citation

N/A

Keywords

Crowd Flower Data, Drugs and Symptoms of Diseases, Drug List, Drug Caused Diseases, Drug Caused Symptoms, Drugs Relationships, Drug Side Effects, Drug Therapeutic Effects

Other Titles

Drug Symptoms Relationship, Drug Relation Database, Relationship Between Drug Indication and Side Effects

Data Fields

Name Description Type Constraints
Unit_IdUnique ID assigned to each entrynumberlevel : Nominalrequired : 1
Is_Unit_State_FinalizedState of the unit, either finalized, or not finalizedbooleanrequired : 1
Trusted_JudgementsNumber of people who made their judgements against the unit to be correct or ambiguous.integerlevel : Ratiorequired : 1
Last_Judgement_DateDate and time when the last trusted judgement was made.datetime-
Patient_Relation_TypeType of association that the patient had with the drug.stringrequired : 1
Percent_Patient_Relation_TypePercentage of association that the patient had with the drug.numberlevel : Ratiorequired : 1
Patient_Relation_DescriptionDescription of the association/relation of patient to the drugstringrequired : 1
Percent_Patient_Relation_DescriptionPercentage of the association/relation of patient to the drugnumberlevel : Ratiorequired : 1
Document_IdUnique ID assigned to each document that was filled by the patientstringrequired : 1
Is_Document_AmbiguousWhether or not the document is ambiguous.booleanrequired : 1
Patient_Relation_Type_AmbiguousCount of type of association that the patient had with the drug which were ambiguousintegerlevel : Ratio
Patient_Relation_Type_Ambiguity_ReasonReason of ambiguitystring-
Patient_Relation_Description_AmbiguousCount of description of association that the patient had with the drug which were ambiguousnumberlevel : Ratio
Patient_Relation_Description_Ambiguous_ReasonReason of ambiguitystring-
Remarks_by_PatientAdditional remarks by the patientstringrequired : 1

Data Preview

Unit IdIs Unit State FinalizedTrusted JudgementsLast Judgement DatePatient Relation TypePercent Patient Relation TypePatient Relation DescriptionPercent Patient Relation DescriptionDocument IdIs Document AmbiguousPatient Relation Type AmbiguousPatient Relation Type Ambiguity ReasonPatient Relation Description AmbiguousPatient Relation Description Ambiguous ReasonRemarks by Patient
711477194False94Personal experience1.0Is prescibed for0.81t1True1Author tells about his/her personal experience.2Person tells that he/she takes drug, BUT there is no explicit mention that the drug helps.I am also taking cough medicine and some acetaminophen to deal with the fever and headache I get.
711477195False99Impersonal experience0.96Caused side effect1.0t1True31acetaminophen can cause sweatingMedicines taken to lower fever, such as aspirin and acetaminophen, can sometimes lead to sweating.
711477196False92Personal experience1.0Is prescibed for0.69t3True1Author tells about his/her personal experience.2Person tells that he/she takes drug, BUT there is no explicit mention that the drug helps.Acetaminophen has a suppository version, which I use when I have a fever.
711477197False90Personal experience1.0Was effective against0.97t4True1The author explicitly relates to an event s/he experienced personally.3The autor explicitly states the drug was effective.I went back to the Nexium and stopped coughing.
711477198False89Personal experience1.0Is prescibed for0.5t5True1The author relates to an event s/he personally experienced.2There is an overt statement of drug administration, but no overt statement of the drug being effective.I used to get alot of headaches and would take lots of advil daily not overdosing but regular dosing.
711477199False87Impersonal experience negated0.93Caused side effect0.93t6True4There is no explicit statement that the author experienced the event personally.1There is an explicit negation of side-effect being caused.For example, Yasmin does not cause weight gain in many people.
711477200False88Question0.8Caused side effect1.0t7True5The author makes an inquiry.1The author asks whether the specified drug can cause the specified side-effect.Someone mentioned that accutane causes hair loss?
711477201False88Personal experience negated0.81Caused side effect0.85t8True2The author explicitly relates to an event s/he experienced personally.1The author explicitly states NOT experiencing any side-effect.This is my second time on accutane and i have not experienced any hair loss.
711477202False95Personal experience0.96Was effective against0.96t9True1The author explicitly relates to an event s/he personally experienced.3The author explicitly states the drug was effective.The headaches have slowed down from the amitriptyline, 25mg.
711477203False89Personal experience negated0.64Caused side effect0.6t10True1Following instructions if type of relation 'OTHER' was chosen it's necessary to choose 'PERSONAL EXPERIENCE' as relation0None of the relations in the list applies.My hair loss is unrelated to the accutane and started before i began my course.