Medical concepts
Medical information that is recognized by our engine is categorized into symptoms, laboratory test results, and risk factors. All three categories are also collectively referred to as observations. Conditions and observations together are referred to as medical concepts.
Browse through all available conditions and symptoms
To take advantage of the symptom assessment capabilities of our API, you must describe your patient cases in terms of the observations that are available in our model; in other words, you need to know the IDs of the observations that you would like to pass to the /diagnosis
endpoint. To make it possible to discover and search for observations, we provide a number of endpoints, which are described in this and the subsequent sections.
For each medical concept category there are two REST-inspired read-only endpoints that support GET requests:
- one returns the list of all the concepts in a given category for a 25 year old person (e.g.
/conditions?age.value=25
), - the other returns a single concept by its ID for a 25 year old person (e.g.
/conditions/c_1?age.value=25
).
Each concept is represented by a JSON object with several attributes. Some attributes are common to all concepts:
id
– short and unique concept id,name
– concept name (professional medical term),common_name
– alternative name (plain language). Ifcommon_name
is not defined, the API returnsname
instead.
Please note that endpoints returning a single concept (e.g. /conditions/c_1?age.value=25
) may return more attributes than endpoints returning a list of concepts (e.g. /conditions?age.value=25
).
Below you can find descriptions and examples of the available endpoints for discovery of medical concepts. Additional information can be found in API Reference.
Conditions
Conditions represents the medical pathologies, conditions, diseases and disorders that are defined in our model. IDs of conditions always start with the c_
prefix and are followed by an integer, e.g. c_26
.
Endpoints
The /conditions?age.value=25
endpoint responds to GET requests by returning the list of all available conditions.
curl "https://api.infermedica.com/v3/conditions?age.value=25" \
-X "GET" \
-H "App-Id: XXXXXXXX" \
-H "App-Key: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" \
-H "Interview-Id:d083e76f-3c29-44aa-8893-587f3691c0c5"
The /conditions/{id}?age.value={age}
endpoint also responds to GET requests, but returns the details of only a single condition. Specifying an invalid condition ID causes an error response (404
).
curl "https://api.infermedica.com/v3/conditions/c_26?age.value=25" \
-X "GET" \
-H "App-Id: XXXXXXXX" \
-H "App-Key: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" \
-H "Interview-Id:d083e76f-3c29-44aa-8893-587f3691c0c5"
Attributes
Apart from id
, name
and common_name
, each condition has several available attributes:
-
sex_filter
filter indicating conditions only valid for one sex: one ofboth
,female
,male
-
categories
list of categories the condition belongs to (e.g. Dermatology or Gastroenterology) -
prevalence
approximate estimate of how common the condition is: one ofvery_rare
,rare
,moderate
,common
-
acuteness
comparative distinction between acute and chronic conditions: one ofchronic
,chronic_with_exacerbations
,acute_potentially_chronic
,acute
-
severity
approximate estimate of how severe the condition is: one ofmild
,moderate
,severe
; can be used together with acuteness to alert users, e.g. when an acute and severe condition is suggested by/diagnosis
-
hint
brief bit of advice for patients that recommends the steps to take if a condition is suspected (e.g. Please consult a dermatologist as soon as possible); may benull
-
icd10_code
ICD-10 code of condition; may benull
Example of a JSON object representing a condition, as returned by /conditions/c_26?age.value=25
:
{
"id": "c_26",
"name": "Major depressive disorder",
"common_name": "Depression",
"sex_filter": "both",
"categories": [
"Psychiatry"
],
"prevalence": "moderate",
"acuteness": "chronic_with_exacerbations",
"severity": "moderate",
"extras": {
"hint": "I suggest you consult a psychologist or psychiatrist.",
"icd10_code": "F33"
}
}
Browse through all available conditions:
Symptoms
Symptoms represents medical signs and symptoms caused by conditions from our model. IDs of symptoms always start with the s_
prefix and are followed by an integer, e.g. s_962
.
In our model, symptoms are organized into a parent-child hierarchy. Each symptom can have a single parent symptom assigned, e.g. severe headache is a child of headache. Each parent-child relation has a type assigned to it. The type of each relation is provided as the parent_relation
attribute and describes how the child symptom relates to its parent; e.g. the child may refer to a specific body location (e.g. lumbar back pain or back pain) or an exacerbating factor (e.g. abdominal pain increasing after a meal or abdominal pain).
The parent-child hierarchy of symptoms plays an important role in the symptom assessment process:
- reporting a child symptom automatically adds its parent symptom to the evidence list
- reporting a parent symptom as absent will inform the engine not to ask about its children.
Endpoints
The /symptoms?age.value=25
endpoint responds to GET requests by returning the list of all available symptoms for a 25 years old person.
curl "https://api.infermedica.com/v3/symptoms?age.value=25" \
-X "GET" \
-H "App-Id: XXXXXXXX" \
-H "App-Key: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" \
-H "Interview-Id:d083e76f-3c29-44aa-8893-587f3691c0c5"
The /symptoms/{id}?age.value={age}
endpoint also responds to GET requests, but only returns the details of a single symptom. Specifying an invalid symptom ID causes an error response (404
).
curl "https://api.infermedica.com/v3/symptoms/s_962?age.value=25" \
-X "GET" \
-H "App-Id: XXXXXXXX" \
-H "App-Key: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" \
-H "Interview-Id:d083e76f-3c29-44aa-8893-587f3691c0c5"
Attributes
Like conditions, symptoms have several available attributes (including id
, name
and common_name
):
-
question
question asking the patient to confirm or deny the symptom; may benull
for professional symptoms, which are only intended for medical providers and are not used in patient interviews -
question_third_person
question in third person form, asking the reporter to confirm or deny the symptom; may benull
for professional symptoms, which are only intended for medical providers and are not used in patient interviews -
sex_filter
filter indicating symptoms only valid for one sex: one ofboth
,female
,male
-
category
category of the symptom; currently all symptoms are assigned to the same category: Signs and symptoms -
parent_id
ID of the parent symptom; may benull
-
parent_relation
type of relation with the parent symptom: one ofduration
,severity
,character
,exacerbating_factor
,diminishing_factor
,location
,radiation
, may benull
-
children
list of child symptoms (symptoms that indicate this symptom as their parent) and their relations with this symptom -
image_url
URL of an optional image that illustrates this symptom; may benull
-
image_source
source or copyright information for image fromimage_url
attribute; may benull
Example of a JSON object representing a symptom, as returned by /symptoms/s_962?age.value=25
:
{
"id": "s_962",
"name": "Dysphagia",
"common_name": "Difficulty swallowing",
"question": "Have you observed discomfort or difficulty swallowing?",
"question_third_person": "Does he|she find it difficult to swallow food or feel like it gets stuck in his|her throat or chest?",
"sex_filter": "both",
"category": "Signs and symptoms",
"seriousness": "serious",
"extras": {},
"children": [
{
"id": "s_1779",
"parent_relation": "location"
},
{
"id": "s_1776",
"parent_relation": "location"
}
],
"image_url": null,
"image_source": null,
"parent_id": null,
"parent_relation": null
}
Browse through all available conditions:
Risk factors
Risk factors represent a patient’s chronic conditions (e.g. diabetes), lifestyle factors (e.g. smoking), geographical locations (e.g. Central Africa) and events (e.g. insect bite or head injury) that may modify the baseline probability of conditions. IDs of risk factors always start with the p_
prefix (as in predisposition) and are followed by an integer, e.g. p_28
.
Endpoints
The /risk_factors?age.value=25
endpoint responds to GET requests by returning the list of all available risk factors for a 25 years old person.
curl "https://api.infermedica.com/v3/risk_factors?age.value=25" \
-X "GET" \
-H "App-Id: XXXXXXXX" \
-H "App-Key: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" \
-H "Interview-Id:d083e76f-3c29-44aa-8893-587f3691c0c5"
The /risk_factors/{id}?age.value={age}
endpoint also responds to GET requests, but only returns the details of a single risk factor. Specifying an invalid risk factor ID causes an error response (404
).
curl "https://api.infermedica.com/v3/risk_factors/p_28?age.value=25" \
-X "GET" \
-H "App-Id: XXXXXXXX" \
-H "App-Key: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" \
-H "Interview-Id:d083e76f-3c29-44aa-8893-587f3691c0c5"
Attributes
These are the attributes available for a risk factor (including id
, name
and common_name
):
-
question
question asking the patient to confirm or deny the risk factor; may benull
for risk factors that should be added automatically based on sex- or age-related risk factors -
question_third_person
question in third person form, asking the reporter to confirm or deny the risk factor; may benull
for risk factors that should be added automatically based on sex- or age-related risk factors -
sex_filter
filter indicating risk factors only valid for one sex: one ofboth
,female
,male
-
category
category of the risk factor; currently all risk factors are assigned to the same category: Risk factors -
image_url
URL of an optional image that illustrates this risk factor; may benull
-
image_source
source or copyright information for the image from the image_url attribute; may benull
Example of a JSON object representing a risk factor, as returned by /risk_factors/p_28?age.value=25
:
{
"id": "p_28",
"name": "Smoking",
"common_name": "Smoking",
"question": "Do you smoke?",
"question_third_person": "Do they smoke or have they smoked cigarettes in the past for at least 10 years?",
"sex_filter": "both",
"category": "Risk factors",
"extras": {},
"image_url": null,
"image_source": null
}