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[HTML][HTML] Data preprocessing techniques for ai and machine learning readiness: Sco** review of wearable sensor data in cancer care
Background: Wearable sensors are increasingly being explored in health care, including in
cancer care, for their potential in continuously monitoring patients. Despite their growing …
cancer care, for their potential in continuously monitoring patients. Despite their growing …
Machine learning for catalysing the integration of noncoding RNA in research and clinical practice
D de Gonzalo-Calvo, K Karaduzovic-Hadziabdic… - …, 2024 - thelancet.com
The human transcriptome predominantly consists of noncoding RNAs (ncRNAs), transcripts
that do not encode proteins. The noncoding transcriptome governs a multitude of …
that do not encode proteins. The noncoding transcriptome governs a multitude of …
Generative ai for synthetic data generation: Methods, challenges and the future
X Guo, Y Chen - ar**: A systematic literature review and taxonomy
MP dos Santos, WF Heckler, RS Bavaresco… - Computers in Human …, 2024 - Elsevier
Health conditions, encompassing both physical and mental aspects, hold an influence that
extends beyond the individual. These conditions affect personal well-being, relationships …
extends beyond the individual. These conditions affect personal well-being, relationships …
Unveiling the secrets: How masking strategies shape time series imputation
In this study, we explore the impact of different masking strategies on time series imputation
models. We evaluate the effects of pre-masking versus in-mini-batch masking, normalization …
models. We evaluate the effects of pre-masking versus in-mini-batch masking, normalization …
Automated machine learning with interpretation: a systematic review of methodologies and applications in healthcare
Abstract Machine learning (ML) has achieved substantial success in performing healthcare
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …