Results 41 to 50 of about 249,220 (290)

Bankruptcy prediction of construction businesses:Towards a big data analytics approach [PDF]

open access: yes, 2015
Bankruptcy prediction models (BPMs) are needed by financiers like banks in order to check the credit worthiness of companies. A very robust model needs a very large amount of data with periodic updates (i.e. appending new data).
Ajayi, Saheed O.   +5 more
core   +1 more source

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

open access: yesMolecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié   +13 more
wiley   +1 more source

Contactless Sleep Staging With Radar: A Transfer Learning Approach

open access: yesIEEE Open Journal of Engineering in Medicine and Biology
Accurate sleep monitoring is essential to assess sleep quality and diagnose sleep disorders. Although sleep laboratories provide precise assessments, they are expensive, labor-intensive, and unsuitable for long-term or large-scale monitoring. Radar-based
Daniel Krauss   +10 more
doaj   +1 more source

System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data

open access: yesIEEE Access, 2021
The most important goal of customer service is to keep the customer satisfied. However, service resources are always limited and must prioritize specific customers.
An Nguyen   +10 more
doaj   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

open access: yesMolecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj   +4 more
wiley   +1 more source

Simultaneous Indoor Pedestrian Localization and House Mapping Based on Inertial Measurement Unit and Bluetooth Low-Energy Beacon Data

open access: yesSensors, 2020
Indoor location estimation is crucial to provide context-based assistance in home environments. In this study, a method for simultaneous indoor pedestrian localization and house mapping is proposed and evaluated. The method fuses a person’s movement data
Jesus D. Ceron   +4 more
doaj   +1 more source

Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks

open access: yes, 2019
Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able to enjoy high-rate, low-latency, low-cost and reliable ...
Chen, Kwang-Cheng   +5 more
core   +1 more source

Tumor mutational burden as a determinant of metastatic dissemination patterns

open access: yesMolecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal   +4 more
wiley   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System

open access: yesSensors, 2020
The evaluation of trajectory reconstruction of the human body obtained by foot-mounted Inertial Pedestrian Dead-Reckoning (IPDR) methods has usually been carried out in controlled environments, with very few participants and limited to walking.
Jesus D. Ceron   +4 more
doaj   +1 more source

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