A systematic review on supervised and unsupervised machine learning algorithms for data science
Abstract Machine learning is as growing as fast as concepts such as Big data and the field of
data science in general. The purpose of the systematic review was to analyze scholarly …
data science in general. The purpose of the systematic review was to analyze scholarly …
[HTML][HTML] Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction
The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-
being of patients. Human error hinders accurate diagnostics, as interpreting medical …
being of patients. Human error hinders accurate diagnostics, as interpreting medical …
Gut microbiome, big data and machine learning to promote precision medicine for cancer
The gut microbiome has been implicated in cancer in several ways, as specific microbial
signatures are known to promote cancer development and influence safety, tolerability and …
signatures are known to promote cancer development and influence safety, tolerability and …
[图书][B] Supervised and unsupervised learning for data science
Supervised and unsupervised learning algorithms have shown a great potential in
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …
knowledge acquisition from large data sets. Supervised learning reflects the ability of an …
[HTML][HTML] Machine learning and natural language processing in mental health: systematic review
A Le Glaz, Y Haralambous, DH Kim-Dufor… - Journal of medical …, 2021 - jmir.org
Background Machine learning systems are part of the field of artificial intelligence that
automatically learn models from data to make better decisions. Natural language processing …
automatically learn models from data to make better decisions. Natural language processing …
[HTML][HTML] Artificial intelligence in pharmaceutical and healthcare research
SK Bhattamisra, P Banerjee, P Gupta… - Big Data and Cognitive …, 2023 - mdpi.com
Artificial intelligence (AI) is a branch of computer science that allows machines to work
efficiently, can analyze complex data. The research focused on AI has increased …
efficiently, can analyze complex data. The research focused on AI has increased …
[HTML][HTML] Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety
The use of data generated passively by personal electronic devices, such as smartphones,
to measure human function in health and disease has generated significant research …
to measure human function in health and disease has generated significant research …
Integrating human knowledge into artificial intelligence for complex and ill-structured problems: Informed artificial intelligence
Artificial intelligence (AI) has been gaining significant attention in various fields to reduce
costs, increase revenue, and improve customer satisfaction. AI can be particularly beneficial …
costs, increase revenue, and improve customer satisfaction. AI can be particularly beneficial …
The impact of machine learning on patient care: a systematic review
Background Despite the expanding use of machine learning (ML) in fields such as finance
and marketing, its application in the daily practice of clinical medicine is almost non-existent …
and marketing, its application in the daily practice of clinical medicine is almost non-existent …
Post marketing surveillance of suspected adverse drug reactions through spontaneous reporting: current status, challenges and the future
Background: To highlight the importance of spontaneous reporting programs in post
marketing surveillance of medicines. Authors also aimed at providing various dimensions of …
marketing surveillance of medicines. Authors also aimed at providing various dimensions of …