The Development and Validation of a Machine Learning Model to Predict Bacteremia and Fungemia in Hospitalized Patients Using Electronic Health Record Data

Sivasubramanium V. Bhavani, Zachary Lonjers, Kyle A. Carey et al.

ML-MT: A Study of e-Health Application Framework by Machine Learning Techniques

Krishna Mridha, Ananya Ritu, Md Minhazul Alam Chowdhury et al.

A Machine Learning Approach for Predicting Maternal Health Risks in Lower-Middle-Income Countries Using Sparse Data and Vital Signs

Avnish Kishor Malde, Vishnunarayan Girishan Prabhu, Dishant Banga et al.

Mapping the ethical, legal and governance documents that govern, influence and inform the use of AI and machine learning in public health in the Australian context

Shanti Omodei‐James, Pip Henderson, Lavender A. Otieno et al.

MACHINE LEARNING–BASED EARLY DISEASE RISK PREDICTION USING ATHOME HEALTH PARAMETERS

Machine learning from data to diagnosis: A comprehensive review of AI applications in mental health assessment

Rinki Kumari, Hitesh Marwaha

Innovative Machine Learning Strategies for Early Detection and Prevention of Pregnancy Loss: The Vitamin D Connection and Gestational Health

Md Abu Sufian, Wahiba Hamzi, Boumediene Hamzi

Early Detection of Erythropoietic Protoporphyria Using Sequential Machine Learning on Longitudinal Electronic Health Records

Aryan Ayati, Goktug Onal, Alana Sur

Battery health prognosis in data-deficient practical scenarios via reconstructed voltage-based machine learning

Wu Wei, Zhen Chen, Weijie Liu

Development of Machine Learning Model for Climatic Impact Prediction on Health Using AQI Dataset in Africa

Oluwaseun Adewunmi Oduah, Oluseyi Enitan Ogunsola, Oludele Adeleke et al.

AI-Based Healthcare System for Health Risk Prediction and Symptom Analysis Using Machine Learning

MANASHA S MANASHA S, MATHIYARASI S MATHIYARASI S, VINOTHA R VINOTHA R et al.

Digital phenotypes and digital biomarkers for health and diseases: a systematic review of machine learning approaches utilizing passive non-invasive signals collected via wearable devices and smartphones

Alireza Sameh, Mehrdad Rostami, Mourad Oussalah