AIMC Topic: Maine

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Dissolved organic carbon estimation in lakes: Improving machine learning with data augmentation on fusion of multi-sensor remote sensing observations.

Water research Feb 21, 2025
This paper presents a novel approach for estimating Dissolved Organic Carbon (DOC) concentrations in lakes considering both carbon sources and sink operators. Despite the critical role of DOC, the combined application of machine learning, as a robust...
Lakes Environmental Monitoring Machine Learning Remote Sensing Technology Maine Water Pollutants, Chemical Carbon
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Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm.

International journal of medical informatics Mar 3, 2020
OBJECTIVE: Predicting the risk of falls in advance can benefit the quality of care and potentially reduce mortality and morbidity in the older population. The aim of this study was to construct and validate an electronic health record-based fall risk...
Machine Learning Algorithms Humans Risk Factors Aged Electronic Health Records Female Maine Comorbidity Accidental Falls Cohort Studies Parkinson Disease Male Risk Assessment Aged, 80 and over
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Defining and characterizing the critical transition state prior to the type 2 diabetes disease.

PloS one Jul 7, 2017
BACKGROUND: Type 2 diabetes mellitus (T2DM), with increased risk of serious long-term complications, currently represents 8.3% of the adult population. We hypothesized that a critical transition state prior to the new onset T2DM can be revealed throu...
Health Information Exchange Datasets as Topic Gene Expression Regulation Prediabetic State Maine Support Vector Machine Markov Chains Insulin Resistance Adult Electronic Health Records Gene Expression Profiling Male Female Humans Diabetes Mellitus, Type 2
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The effect of the toxic dinoflagellate on the fitness of the calanoid copepod .

Harmful algae Dec 14, 2015
Inshore and offshore waters of the Gulf of Maine (USA) have spring/summer harmful algal blooms (HABs) of the toxic dinoflagellate , which is responsible for paralytic shellfish poisoning (PSP) in humans. The calanoid copepod co-occurs with during t...
Marine Toxins Maine Animals Dinoflagellida Female Harmful Algal Bloom Diet Copepoda
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NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records.

International journal of medical informatics Jul 2, 2015
BACKGROUND: In order to proactively manage congestive heart failure (CHF) patients, an effective CHF case finding algorithm is required to process both structured and unstructured electronic medical records (EMR) to allow complementary and cost-effic...
Heart Failure Humans Data Mining Maine Algorithms Decision Support Systems, Clinical Pattern Recognition, Automated Prevalence Reproducibility of Results Vocabulary, Controlled Natural Language Processing Prospective Studies Sensitivity and Specificity Electronic Health Records
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