The secondary use of electronic health records for data mining: Data characteristics and challenges

T Sarwar, S Seifollahi, J Chan, X Zhang… - ACM Computing …, 2022 - dl.acm.org
The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …

Machine and deep learning for longitudinal biomedical data: a review of methods and applications

A Cascarano, J Mur-Petit… - Artificial Intelligence …, 2023 - Springer
Exploiting existing longitudinal data cohorts can bring enormous benefits to the medical
field, as many diseases have a complex and multi-factorial time-course, and start to develop …

Machine learning approaches for electronic health records phenotyping: a methodical review

S Yang, P Varghese, E Stephenson… - Journal of the …, 2023 - academic.oup.com
Objective Accurate and rapid phenotyping is a prerequisite to leveraging electronic health
records for biomedical research. While early phenotyping relied on rule-based algorithms …

Unravelling the complexities of depression with medical intelligence: exploring the interplay of genetics, hormones, and brain function

MBB Heyat, F Akhtar, F Munir, A Sultana… - Complex & Intelligent …, 2024 - Springer
Depression is a multifactorial disease with unknown etiology affecting globally. It's the
second most significant reason for infirmity in 2020, affecting about 50 million people …

Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS

M Gaur, V Aribandi, A Alambo, U Kursuncu… - PloS one, 2021 - journals.plos.org
Suicide is the 10 th leading cause of death in the US (1999-2019). However, predicting
when someone will attempt suicide has been nearly impossible. In the modern world, many …

Factors contributing to preventing operating room “never events”: a machine learning analysis

D Arad, A Rosenfeld, R Magnezi - Patient Safety in Surgery, 2023 - Springer
Abstract Background A surgical “Never Event” is a preventable error occurring immediately
before, during or immediately following surgery. Various factors contribute to the occurrence …

Exploring the relationship between distress rumination, resilience, depression, and self-injurious behaviors among Chinese college athletes infected with COVID-19: a …

X Zhao, Z Liu, L Zhao, L Zhang - Frontiers in Psychiatry, 2023 - frontiersin.org
Objectives Distress rumination is a cause of suicidality and self-injurious behavior (SSIB)
among individuals. Although previous studies have shown that distress rumination, SSIB …

Suicides in mood disorders in psychiatric settings in nordic national register–based studies

ET Isometsä - Frontiers in psychiatry, 2020 - frontiersin.org
Objective Although risk factors for nonfatal suicidal behavior in mood disorders have been
vastly investigated, rate and risk factors of suicide deaths are less well known. Extensive …

[HTML][HTML] Use of artificial intelligence-based strategies for assessing suicidal behavior and mental illness: A literature review

NZ Khan, MA Javed - Cureus, 2022 - ncbi.nlm.nih.gov
Mental illness leading to suicide attempts is prevalent in a large portion of the population
especially in low and middle-income nations. There remains a significant social stigma …

Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)

A Atmakuru, A Shahini, S Chakraborty, S Seoni… - Information …, 2024 - Elsevier
Suicide is a major global public health concern, and the application of artificial intelligence
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …