Machine learning for predicting institutionalization and mortality risks among older home care recipients with routinely collected need assessment data: explainable AI for long-term care

Explainable AI machine learning framework for chronic kidney disease prediction utilizing electronic health records

Muhammad Rizwan, Rashid Naseem, Muhammad Ahmad Khan, Arshad Ahmad, Muhammad Fozan, Nazeer Muhammad

AI-powered risk prediction models for preventable maternal mortality in rural settings: a systematic review

Joy Aifuobhokhan, Ayodeji Ogunjinmi, Chukwuemeka Abraham Agbarakwe, Deborah Oladunmolu Oduguwa, Annie Peter Essiet, Temitayo Osunkiyesi, et al.

Maternal mortality remains disproportionately high in low- and middle-income countries, particularly in rural settings with limited access to skilled obstetric care. Artificial intelligence and machine learning models offer promise for early risk prediction, yet their methodologi…Read more

Development and temporal validation of a machine learning-based model for predicting renal impairment in multiple myeloma: a single-center retrospective cohort study

Manli Zhou, Sisi Feng

Multiple myeloma (MM) is a hematopoietic system malignancy characterized by clonal proliferation of abnormal plasma cells, commonly presenting with renal impairment (RI) that significantly impacts patient’s quality of life. The objective of this study was to develop a predictive…Read more

Correction: Diagnostic performance of machine learning and deep learning algorithms for thyroid cancer metastasis: a systematic review and meta-analysis

Mohammad Amouzadeh Lichahi, Saeid Anvari, Hossein Hemmati, Ervin Zadgari, Maryam Jafari, Seyedeh Mohadeseh Mosavi Mirkalaie, et al.

Multitask learning of longitudinal circulating biomarkers and clinical outcomes: identification of optimal machine-learning and deep-learning models

Min Yuan, Shixin Su, Haolun Ding, Yaning Yang, Manish Gupta, Xu Steven Xu

Quality assessment of synthetic data in healthcare: a critical appraisal with a focus on subgroup bias

Christos Chatzichristos, Dimitris Katsimpokis, Congting Lai, L. van Santvliet, Flavio Camarrone, Daan Knoors, et al.

The creation of synthetic data in healthcare research has emerged as a compelling solution to address challenges related to data privacy, in case of data-sharing and data scarceness for training machine learning models. The current paper aims to provide a critical landscape analy…Read more