Machine-learning-based disease diagnosis: A comprehensive review
MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …
complexity of the different disease mechanisms and underlying symptoms of the patient …
Harnessing large language models' zero-shot and few-shot learning capabilities for regulatory research
H Meshkin, J Zirkle, G Arabidarrehdor… - Briefings in …, 2024 - academic.oup.com
Large language models (LLMs) are sophisticated AI-driven models trained on vast sources
of natural language data. They are adept at generating responses that closely mimic human …
of natural language data. They are adept at generating responses that closely mimic human …
Analysis of hypothyroidism development in post-radiotherapy nasopharyngeal cancer patients using survival trees
PMA George, S Abdullah… - Journal of Physics …, 2021 - iopscience.iop.org
Radiotherapy is one of the treatments for nasopharyngeal cancer (NPC). However, this
treatment might produce an unfavorable effect on the thyroid gland, which eventually results …
treatment might produce an unfavorable effect on the thyroid gland, which eventually results …
Analysis of factors associated with early stage Parkinson's disease based on daily activities and sleeping behaviour disorder
F Nastitie, S Abdulllah… - Journal of Physics …, 2021 - iopscience.iop.org
Parkinson's Disease (PD) is a disorder in human movement coordination system that is
characterized by motoric and non-motoric symptoms. At the late stage of PD, clinical …
characterized by motoric and non-motoric symptoms. At the late stage of PD, clinical …
[PDF][PDF] Quantum Machine Learning Aplicado à Detecção de Esquizofrenia
LS Belluzzo - pcs.usp.br
Resumo A esquizofrenia assola, aproximadamente, 1% da população mundial e está entre
as 20 maiores causas de invalidez conhecidas (décima quarta posição) de acordo com a …
as 20 maiores causas de invalidez conhecidas (décima quarta posição) de acordo com a …
[PDF][PDF] Less is more: improving customer churn prediction with split training data in the Penalized Logit Leaf Model
M Hendriks, EP O'Neill, M Zhelonkin - 2022 - thesis.eur.nl
This study tries to improve data-based decision making by extending the Logit Leaf Model
for customer churn prediction. Our goal is to create a high performing prediction model for …
for customer churn prediction. Our goal is to create a high performing prediction model for …
Identification of risk factors for impulse-control disorder symptoms in patients with Parkinson's disease
DA Setianingsih, S Abdullah - Journal of Physics: Conference …, 2021 - iopscience.iop.org
Parkinson's disease (PD) is one of the motoric neurodegenerative disorders that has the
fastest-growing prevalence, disability, and death rate compared to other neurological …
fastest-growing prevalence, disability, and death rate compared to other neurological …
Risk factors analysis of depression in early stage of Parkinson's disease
NF Indriana, S Abdullah - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Parkinson's disease (PD) is the second-most common neurodegenerative disease and
affects about 2-3% of the population of age 65 years or over, worldwide. One of the …
affects about 2-3% of the population of age 65 years or over, worldwide. One of the …