Revolutionizing chronic kidney disease management with machine learning and artificial intelligence
P Krisanapan, S Tangpanithandee… - Journal of Clinical …, 2023 - mdpi.com
Chronic kidney disease (CKD) poses a significant public health challenge, affecting
approximately 11% to 13% of the global population [1]. This accounts for over 800 million …
approximately 11% to 13% of the global population [1]. This accounts for over 800 million …
Predicting Male Infertility Using Artificial Neural Networks: A Review of the Literature
Male infertility is a relevant public health problem, but there is no systematic review of the
different machine learning (ML) models and their accuracy so far. The present review aims …
different machine learning (ML) models and their accuracy so far. The present review aims …
The prediction of semen quality based on lifestyle behaviours by the machine learning based models
Purpose To find the machine learning (ML) method that has the highest accuracy in
predicting the semen quality of men based on basic questionnaire data about lifestyle …
predicting the semen quality of men based on basic questionnaire data about lifestyle …
Using a decision tree algorithm predictive model for sperm count assessment and risk factors in health screening population
HH Huang, CJ Lu, MJ Jhou, TC Liu… - … and Healthcare Policy, 2023 - Taylor & Francis
Purpose Approximately 20% of couples face infertility challenges and struggle to conceive
naturally. Despite advances in artificial reproduction, its success hinges on sperm quality …
naturally. Despite advances in artificial reproduction, its success hinges on sperm quality …
Machine learning and pre-exposure prophylaxis: A survey
JN Nyakanga - GSC Biological and Pharmaceutical Sciences, 2023 - gsconlinepress.com
The goal of this paper was to study how machine learning techniques have been applied in
PrEP (Pre-exposure prophylaxis) and HIV prediction to identify individuals who are at a …
PrEP (Pre-exposure prophylaxis) and HIV prediction to identify individuals who are at a …
Šunų Spermos Kokybės ir Spermos Plazmos Biocheminių Parametrų Ryšys
B Pipiraitė - 2024 - search.proquest.com
Darbo tikslas-įvertinti šunų spermos kokybinių bei kiekybinių ir spermos plazmos
biocheminių parametrų tarpusavio ryšį skirtingose šunų amžiaus ir svorio grupėse. Tyrimas …
biocheminių parametrų tarpusavio ryšį skirtingose šunų amžiaus ir svorio grupėse. Tyrimas …
Machine Learning Algorithms in Reproductive Health
A Verma, R Singh, S Barage - … Biology and Machine Learning Methods in … - taylorfrancis.com
Propelled by the integration of Internet of Things, cloud computing, artificial intelligence, and
data science, the domain of reproductive health is currently experiencing a paradigm shift in …
data science, the domain of reproductive health is currently experiencing a paradigm shift in …