Machine learning (ML) has succeeded in improving our daily routines by enabling
automation and improved decision making in a variety of industries such as healthcare …

Over the past decade, a number of new 1, 4-naphthoquinones have been isolated from
natural sources and new 1, 4-naphthoquinones with diverse structural features have been …

Objective Despite recent calls for home healthcare (HHC) to integrate informatics, the
application of machine learning in HHC is relatively unknown. Thus, this study aimed to …

Purpose: Perineural invasion (PNI) in oral cavity squamous cell carcinoma (OSCC) is
associated with poor survival. Because of the risk of recurrence, patients with PNI receive …

Over the past few decades, health care industries and medical practitioners faced a lot of
obstacles to diagnosing medical-related problems due to inadequate technology and …

The era of big data has led to the necessity of artificial intelligence models to effectively
handle the vast amount of clinical data available. These data have become indispensable …

In most engineering problems, because of a lack of complete information about the structure
of the performance function, selection of the optimal approach for efficient reliability analysis …

Mainly related to the cardiovascular system, brain, kidney, and peripheral arteries, the
disease is called heart disease. Heart disease can have many causes, but high blood …

The controlled environment ecosystem is a meticulously designed plant growing chamber
utilized for cultivating biofortified crops and microgreens, addressing hidden hunger and …

Methods By utilizing a CDC public database, we constructed models for the prediction of
healthcare access (binary variable). Using area under the curve (AUC) as our performance …