[HTML][HTML] What makes a good prediction? Feature importance and beginning to open the black box of machine learning in genetics
AM Musolf, ER Holzinger, JD Malley, JE Bailey-Wilson - Human Genetics, 2022 - Springer
Genetic data have become increasingly complex within the past decade, leading
researchers to pursue increasingly complex questions, such as those involving epistatic …
researchers to pursue increasingly complex questions, such as those involving epistatic …
Subjective or objective measures of street environment, which are more effective in explaining housing prices?
Houses with better street design are found to relate to a price premium. Prior studies mainly
present the street quality using objective indicators like tree counts and distance to parks …
present the street quality using objective indicators like tree counts and distance to parks …
DSS: A hybrid deep model for fake news detection using propagation tree and stance network
Nowadays, online social media play a significant role in news broadcasts due to their
convenience, speed, and accessibility. Social media platforms leverage the rapid production …
convenience, speed, and accessibility. Social media platforms leverage the rapid production …
[HTML][HTML] Persistent overactive cytotoxic immune response in a Spanish cohort of individuals with long-COVID: identification of diagnostic biomarkers
M Galán, L Vigón, D Fuertes… - Frontiers in …, 2022 - frontiersin.org
Long-COVID is a new emerging syndrome worldwide that is characterized by the
persistence of unresolved signs and symptoms of COVID-19 more than 4 weeks after the …
persistence of unresolved signs and symptoms of COVID-19 more than 4 weeks after the …
[HTML][HTML] Fuzzy neural network expert system with an improved Gini index random forest-based feature importance measure algorithm for early diagnosis of breast …
EA Algehyne, ML Jibril, NA Algehainy… - Big Data and Cognitive …, 2022 - mdpi.com
Breast cancer is one of the common malignancies among females in Saudi Arabia and has
also been ranked as the one most prevalent and the number two killer disease in the …
also been ranked as the one most prevalent and the number two killer disease in the …
[HTML][HTML] Protein function analysis through machine learning
Machine learning (ML) has been an important arsenal in computational biology used to
elucidate protein function for decades. With the recent burgeoning of novel ML methods and …
elucidate protein function for decades. With the recent burgeoning of novel ML methods and …
[HTML][HTML] Automatic detection of pneumonia in chest X-ray images using textural features
C Ortiz-Toro, A Garcia-Pedrero… - Computers in biology …, 2022 - Elsevier
Fast and accurate diagnosis is critical for the triage and management of pneumonia,
particularly in the current scenario of a COVID-19 pandemic, where this pathology is a major …
particularly in the current scenario of a COVID-19 pandemic, where this pathology is a major …
[HTML][HTML] Above-ground biomass estimation from LiDAR data using random forest algorithms
L Torre-Tojal, A Bastarrika, A Boyano… - Journal of …, 2022 - Elsevier
Random forest (RF) models were developed to estimate the biomass for the Pinus radiata
species in a region of the Basque Autonomous Community where this species has high …
species in a region of the Basque Autonomous Community where this species has high …
[HTML][HTML] Estimating incidence rates of periprosthetic joint infection after hip and knee arthroplasty for osteoarthritis using linked registry and administrative health data
Aims The aim of this study was to estimate the 90-day periprosthetic joint infection (PJI) rates
following total knee arthroplasty (TKA) and total hip arthroplasty (THA) for osteoarthritis (OA) …
following total knee arthroplasty (TKA) and total hip arthroplasty (THA) for osteoarthritis (OA) …
Mechanism and performance relevance of nanomorphogenesis in polyamide films revealed by quantitative 3D imaging and machine learning
Biological morphogenesis has inspired many efficient strategies to diversify material
structure and functionality using a fixed set of components. However, implementation of …
structure and functionality using a fixed set of components. However, implementation of …