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_Id | Unique ID assigned to each entry | number | level : Nominalrequired : 1 |
Is_Unit_State_Finalized | State of the unit, either finalized, or not finalized | boolean | required : 1 |
Trusted_Judgements | Number of people who made their judgements against the unit to be correct or ambiguous. | integer | level : Ratiorequired : 1 |
Last_Judgement_Date | Date and time when the last trusted judgement was made. | datetime | - |
Patient_Relation_Type | Type of association that the patient had with the drug. | string | required : 1 |
Percent_Patient_Relation_Type | Percentage of association that the patient had with the drug. | number | level : Ratiorequired : 1 |
Patient_Relation_Description | Description of the association/relation of patient to the drug | string | required : 1 |
Percent_Patient_Relation_Description | Percentage of the association/relation of patient to the drug | number | level : Ratiorequired : 1 |
Document_Id | Unique ID assigned to each document that was filled by the patient | string | required : 1 |
Is_Document_Ambiguous | Whether or not the document is ambiguous. | boolean | required : 1 |
Patient_Relation_Type_Ambiguous | Count of type of association that the patient had with the drug which were ambiguous | integer | level : Ratio |
Patient_Relation_Type_Ambiguity_Reason | Reason of ambiguity | string | - |
Patient_Relation_Description_Ambiguous | Count of description of association that the patient had with the drug which were ambiguous | number | level : Ratio |
Patient_Relation_Description_Ambiguous_Reason | Reason of ambiguity | string | - |
Remarks_by_Patient | Additional remarks by the patient | string | required : 1 |
Data Preview
Unit Id | Is Unit State Finalized | Trusted Judgements | Last Judgement Date | Patient Relation Type | Percent Patient Relation Type | Patient Relation Description | Percent Patient Relation Description | Document Id | Is Document Ambiguous | Patient Relation Type Ambiguous | Patient Relation Type Ambiguity Reason | Patient Relation Description Ambiguous | Patient Relation Description Ambiguous Reason | Remarks by Patient |
711477194 | False | 94 | Personal experience | 1.0 | Is prescibed for | 0.81 | t1 | True | 1 | Author tells about his/her personal experience. | 2 | Person 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. | |
711477195 | False | 99 | Impersonal experience | 0.96 | Caused side effect | 1.0 | t1 | True | 3 | 1 | acetaminophen can cause sweating | Medicines taken to lower fever, such as aspirin and acetaminophen, can sometimes lead to sweating. | ||
711477196 | False | 92 | Personal experience | 1.0 | Is prescibed for | 0.69 | t3 | True | 1 | Author tells about his/her personal experience. | 2 | Person 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. | |
711477197 | False | 90 | Personal experience | 1.0 | Was effective against | 0.97 | t4 | True | 1 | The author explicitly relates to an event s/he experienced personally. | 3 | The autor explicitly states the drug was effective. | I went back to the Nexium and stopped coughing. | |
711477198 | False | 89 | Personal experience | 1.0 | Is prescibed for | 0.5 | t5 | True | 1 | The author relates to an event s/he personally experienced. | 2 | There 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. | |
711477199 | False | 87 | Impersonal experience negated | 0.93 | Caused side effect | 0.93 | t6 | True | 4 | There is no explicit statement that the author experienced the event personally. | 1 | There is an explicit negation of side-effect being caused. | For example, Yasmin does not cause weight gain in many people. | |
711477200 | False | 88 | Question | 0.8 | Caused side effect | 1.0 | t7 | True | 5 | The author makes an inquiry. | 1 | The author asks whether the specified drug can cause the specified side-effect. | Someone mentioned that accutane causes hair loss? | |
711477201 | False | 88 | Personal experience negated | 0.81 | Caused side effect | 0.85 | t8 | True | 2 | The author explicitly relates to an event s/he experienced personally. | 1 | The author explicitly states NOT experiencing any side-effect. | This is my second time on accutane and i have not experienced any hair loss. | |
711477202 | False | 95 | Personal experience | 0.96 | Was effective against | 0.96 | t9 | True | 1 | The author explicitly relates to an event s/he personally experienced. | 3 | The author explicitly states the drug was effective. | The headaches have slowed down from the amitriptyline, 25mg. | |
711477203 | False | 89 | Personal experience negated | 0.64 | Caused side effect | 0.6 | t10 | True | 1 | Following instructions if type of relation 'OTHER' was chosen it's necessary to choose 'PERSONAL EXPERIENCE' as relation | 0 | None of the relations in the list applies. | My hair loss is unrelated to the accutane and started before i began my course. |