PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses
Abstract The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing Machine Learning in Forensic Anthropological Analyses), which includes a flowchart and a ...
Eman Faisal, Tracy L. Rogers
wiley +1 more source
Construction of a prediction model for axillary lymph node metastasis in stage cN0 hormone receptor-positive breast cancer: based on interpretable machine learning methods. [PDF]
Liu W +5 more
europepmc +1 more source
LLM‐based keyword augmentation for title‐driven evidence selection: A practical approach
Abstract Keyword‐based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to inconsistent results and missed evidence. While previous studies have explored machine learning and large language models (LLMs) to address this, practical deployment is often constrained by ...
Sanghyun Yoo, Doowon Jeong
wiley +1 more source
A novel adaptive sigma KNN model for depression and anxiety detection following the COVID 19 pandemic. [PDF]
Arora P, Dahiya S.
europepmc +1 more source
Blubber Thickening Driven by UCP1 Inactivation: Insights from a Cetacean‐Like Transgenic Mouse Model
UCP1 inactivation of cetaceans in mice drives BAT whitening and iWAT hyperplasia, promoting fat accumulation for aquatic adaptation. Abstract Cetaceans possess thick blubber, a specialized adipose tissue essential for thermal insulation, a streamlined body form, energy storage, and buoyancy. However, the mechanisms that underpin this adaptation are not
Qian Zhang +5 more
wiley +1 more source
AlleleMiner: a long-read pipeline for gene-wise de novo allele phasing and variant detection in diploid citrus cultivars. [PDF]
Kiryu Y +7 more
europepmc +1 more source
ABSTRACT Background Bipolar disorder (BD) carries a suicide risk 20 times higher than the general population, with up to 60% of patients attempting suicide. Current interventions have failed to reduce its incidence; static factors have shown limited predictive utility.
Abigail Ortiz +9 more
wiley +1 more source
Interpretable machine learning for optimized dimethyl ether production from bio-methanol. [PDF]
Mokari M, Rahmani M, Atashrouz S.
europepmc +1 more source
Stacked Ensemble Model With Explainable AI for Early Detection of Heart Disease. [PDF]
Nahar N +8 more
europepmc +1 more source
Computational analysis on the influence of pressure and temperature on drug solubility in supercritical CO<sub>2</sub> with machine learning and optimizer. [PDF]
Obaidullah AJ, Mahdi WA, Alhowyan A.
europepmc +1 more source

