The field of machine learning (ML) is sufficiently young that it is still expanding at an
accelerating pace, lying at the crossroads of computer science and statistics, and at the core …

Objective Disease comorbidity is a major challenge in healthcare affecting the patient's
quality of life and costs. AI-based prediction of comorbidities can overcome this issue by …

Artificial intelligence is constantly revolutionizing biomedical research and healthcare
management. Disease comorbidity is a major threat to the quality of life for susceptible …

Abstract Background and Objective Chronic obstructive pulmonary disease (COPD) is a
leading cause of death worldwide that frequently presents with concomitant cardiovascular …

With the advances in technology and data science, machine learning (ML) is being rapidly
adopted by the health care sector. However, there is a lack of literature addressing the …

Over the last 10 years, a significant surge in cardiovascular diseases has been observed
around the world. Considering the cruciality of the disease leads to rapid action toward the …

This work leveraged predictive modeling techniques in machine learning (ML) to predict
heart disease using a dataset sourced from the Center for Disease Control and Prevention …

Cardiac electrophysiology and cardiac mechanics both depend on the average
cardiomyocyte long‐axis orientation. In the realm of personalized medicine, knowledge of …

Acute lymphoblastic leukemia, a pervasive form of the carcinogenic disease, is a lethal
ailment subjecting numerous pediatric patients globally to terminal conditions. is a rapidly …

Background: Three-dimensional gait analysis plays a crucial role in the rehabilitation
assessment of post-stroke hemiplegic patients. However, the data generated from such …