# Predicting life satisfaction using machine learning and explainable AI

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-life-satisfaction-using-machine-learning-and-explainable-ai/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Alif Elham Khan,Mohammad Junayed Hasan,Humayra Anjum,Nabeel Mohammed,Sifat Momen |
| Citations | 31 |
| DOI | 10.1016/j.heliyon.2024.e31158 |
| Fields | Psychology,Social Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | http://www.cell.com/article/S2405844024071895/pdf |
| OpenAlex ID | https://openalex.org/W4396854194 |
| PMID | 38818204 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Mohammad Junayed Hasan](https://scholariq.org/researchers/mohammad-junayed-hasan/)

## Paper journal

- [Heliyon](https://scholariq.org/journals/heliyon/)

## Paper primary topic

- [Health disparities and outcomes](https://scholariq.org/topics/health-disparities-and-outcomes/)

## Paper topics

- [Health disparities and outcomes](https://scholariq.org/topics/health-disparities-and-outcomes/)
- [Psychological Well-being and Life Satisfaction](https://scholariq.org/topics/psychological-well-being-and-life-satisfaction/)
- [Aging and Gerontology Research](https://scholariq.org/topics/aging-and-gerontology-research/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.