Mining electronic health records (EHRs) A survey
The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
Computational psychiatry as a bridge from neuroscience to clinical applications
Translating advances in neuroscience into benefits for patients with mental illness presents
enormous challenges because it involves both the most complex organ, the brain, and its …
enormous challenges because it involves both the most complex organ, the brain, and its …
Predicting the carbon dioxide emission caused by road transport using a Random Forest (RF) model combined by Meta-Heuristic Algorithms
Carbon dioxide is one of the most important pollutants in urban areas. Since the relationship
between the factors of road transport and CO 2 emission is often complex, using methods …
between the factors of road transport and CO 2 emission is often complex, using methods …
A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction
Data collected from clinical trials and cohort studies, such as dementia studies, are often
high-dimensional, censored, heterogeneous and contain missing information, presenting …
high-dimensional, censored, heterogeneous and contain missing information, presenting …
A novel data augmentation based on Gabor filter and convolutional deep learning for improving the classification of COVID-19 chest X-Ray images
A dangerous infectious disease of the current century, the COVID-19 has apparently
originated in a city in China and turned into a widespread pandemic within a short time. In …
originated in a city in China and turned into a widespread pandemic within a short time. In …
Prevalence and prognosis of Alzheimer's disease at the mild cognitive impairment stage
Three sets of research criteria are available for diagnosis of Alzheimer's disease in subjects
with mild cognitive impairment: the International Working Group-1, International Working …
with mild cognitive impairment: the International Working Group-1, International Working …
Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure …
OBJECTIVE: Physicians classify patients into those with or without a specific disease.
Furthermore, there is often interest in classifying patients according to disease etiology or …
Furthermore, there is often interest in classifying patients according to disease etiology or …
Temporomandibular disorders and neck pain in primary headache patients: A retrospective machine learning study
M Ferrillo, M Migliario, N Marotta… - Acta odontologica …, 2023 - Taylor & Francis
Objectives To evaluate the linkage underpinning different clinical conditions as painful TMD
and neck pain in patients affected by primary headaches. Materials and methods In this …
and neck pain in patients affected by primary headaches. Materials and methods In this …
Modelling of supply and demand-side determinants of liquefied petroleum gas consumption in peri-urban Cameroon, Ghana and Kenya
Household transitions to cleaner cooking fuels (for example, liquefied petroleum gas (LPG))
have historically been studied from a demand perspective, with clean energy usage …
have historically been studied from a demand perspective, with clean energy usage …
Predicting entrepreneurial success is hard: Evidence from a business plan competition in Nigeria
We compare the absolute and relative performance of three approaches to predicting
outcomes for entrants in a business plan competition in Nigeria: Business plan scores from …
outcomes for entrants in a business plan competition in Nigeria: Business plan scores from …