National Poll on Healthy Aging (NPHA)

About

This is a subset of the NPHA dataset filtered down to develop and validate machine learning algorithms for predicting the number of doctors a survey respondent sees in a year. This dataset’s records represent seniors who responded to the NPHA survey. Preprocessing description: For this subset of the original NPHA dataset we chose 14 features related to health and sleep to use for the prediction task. We then removed all survey respondents with missing responses for any of the chosen features. Does this dataset contain sensitive information?: There is information about race/ethnicity, gender, age.

Subject Area

Health and Medicine

Instances

714

Features

Data Types

Tabular

Tasks

Classification

Feature Types

Categorical

Features

Name	Role	Type	Units	Missing Values
Number_of_Doctors_Visited	Target	Categorical	-	No
└ The total count of different doctors the patient has seen = { 1: 0-1 doctors 2: 2-3 doctors 3: 4 or more doctors }
Age	Feature	Categorical	-	No
└ The patient's age group = { 1: 50-64 2: 65-80 }
Physical_Health	Feature	Categorical	-	No
└ A self-assessment of the patient's physical well-being = { -1: Refused 1: Excellent 2: Very Good 3: Good 4: Fair 5: Poor }
Mental_Health	Feature	Categorical	-	No
└ A self-evaluation of the patient's mental or psychological health = { -1: Refused 1: Excellent 2: Very Good 3: Good 4: Fair 5: Poor }
Dental_Health	Feature	Categorical	-	No
└ A self-assessment of the patient's oral or dental health= { -1: Refused 1: Excellent 2: Very Good 3: Good 4: Fair 5: Poor }
Employment	Feature	Categorical	-	No
└ The patient's employment status or work-related information = { -1: Refused 6 1: Working full-time 2: Working part-time 3: Retired 4: Not working at this time }
Stress_Keeps_Patient_from_Sleeping	Feature	Categorical	-	No
└ Whether stress affects the patient's ability to sleep = { 0: No 1: Yes }
Medication_Keeps_Patient_from_Sleeping	Feature	Categorical	-	No
└ Whether medication impacts the patient's sleep = { 0: No 1: Yes }
Pain_Keeps_Patient_from_Sleeping	Feature	Categorical	-	No
└ Whether physical pain disturbs the patient's sleep = { 0: No 1: Yes }
Bathroom_Needs_Keeps_Patient_from_Sleeping	Feature	Categorical	-	No
└ Whether the need to use the bathroom affects the patient's sleep = { 0: No 1: Yes }
Uknown_Keeps_Patient_from_Sleeping	Feature	Categorical	-	No
└ Unidentified factors affecting the patient's sleep = { 0: No 1: Yes }
Trouble_Sleeping	Feature	Categorical	-	No
└ General issues or difficulties the patient faces with sleeping = { 0: No 1: Yes }
Prescription_Sleep_Medication	Feature	Categorical	-	No
└ Information about any sleep medication prescribed to the patient = { -1: Refused 1: Use regularly 2: Use occasionally 3: Do not use }
Race	Feature	Categorical	-	No
└ The patient's racial or ethnic background = { -2: Not asked -1: REFUSED 1: White, Non-Hispanic 2: Black, Non-Hispanic 3: Other, Non-Hispanic 4: Hispanic 5: 2+ Races, Non-Hispanic }
Gender	Feature	Categorical	-	No
└ The gender identity of the patient = { -2: Not asked -1: REFUSED 1: Male 2: Female }