Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review
Introduction The use of machine learning (ML) techniques in healthcare encompasses an
emerging concept that envisages vast contributions to the tackling of rare diseases. In this …
emerging concept that envisages vast contributions to the tackling of rare diseases. In this …
Intersection of network medicine and machine learning towards investigating the key biomarkers and pathways underlying amyotrophic lateral sclerosis: a systematic …
Background Network medicine is an emerging area of research that focuses on delving into
the molecular complexity of the disease, leading to the discovery of network biomarkers and …
the molecular complexity of the disease, leading to the discovery of network biomarkers and …
Investigating the utility of multimodal conversational technology and audiovisual analytic measures for the assessment and monitoring of amyotrophic lateral sclerosis …
We propose a cloud-based multimodal dialog platform for the remote assessment and
monitoring of Amyotrophic Lateral Sclerosis (ALS) at scale. This paper presents our vision …
monitoring of Amyotrophic Lateral Sclerosis (ALS) at scale. This paper presents our vision …
The Impact of Stimulus Length in Tongue and Lip Movement Pattern Stability in Amyotrophic Lateral Sclerosis
Purpose: This study aimed to investigate the effect of stimulus signal length on tongue and
lip motion pattern stability in speakers diagnosed with amyotrophic lateral sclerosis (ALS) …
lip motion pattern stability in speakers diagnosed with amyotrophic lateral sclerosis (ALS) …