Search Results - "Pretty, C."

An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM by Cyril, C Pretty Diana, Beulah, J Rene, Subramani, Neelakandan, Mohan, Prakash, Harshavardhan, A, Sivabalaselvamani, D

“…The modern society runs over the social media for their most time of every day. The web users spend their most time in social media and they share many details…”
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A holistic approach to Thermo-Mechanical Fatigue phase angle effects for an aerospace nickel superalloy by Gray, V., Jones, J.P., Whittaker, M.T., Lancaster, R.J., Pretty, C.J., Williams, S.J.

“…•Largest collection of load-controlled and strain-controlled TMF data for any material with Δε = 0.8–1.4%, and ϕ = 0, 45, 90, −90, −45, 180 °C.•Holistic…”
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Inspiratory respiratory mechanics estimation by using expiratory data for reverse-triggered breathing cycles by Howe, S.L., Chase, J.G., Redmond, D.P., Morton, S.E., Kim, K.T., Pretty, C., Shaw, G.M., Tawhai, M.H., Desaive, T.

“…Model-based lung mechanics monitoring can provide clinically useful information for guiding mechanical ventilator treatment in intensive care. However, many…”
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Cheek support affects lung mechanics measurements of tidal-based spontaneous breathing by Howe, S.L., März, M., Pinter, J., Krüger-Ziolek, S., Pretty, C., Shaw, G.M., Desaive, T., Möller, K., Chase, J.G.

“…•Lung elastance, airway resistance, and viscoelastic lung mechanics measurements are reduced when cheek support inadequate.•Variation of lung mechanics…”
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Insulin kinetics and the Neonatal Intensive Care Insulin–Nutrition–Glucose (NICING) model by Dickson, J.L., Pretty, C.G., Alsweiler, J., Lynn, A., Chase, J.G.

“…•A three compartment model of glucose–insulin kinetics in the very premature infant is presented.•Insulin kinetic parameters are identified using a novel…”
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Effective sample size estimation for a mechanical ventilation trial through Monte-Carlo simulation: Length of mechanical ventilation and Ventilator Free Days by Morton, S.E., Chiew, Y.S., Pretty, C., Moltchanova, E., Scarrott, C., Redmond, D., Shaw, G.M., Chase, J.G.

“…•Many mechanical ventilation RCTs do not achieve significance.•LoMV data is highly skewed and normal trial design methods are often ineffective.•Monte-Carlo…”
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Detection of Pemphigus using Machine Learning by Dubey, Sanjivani, Cyril, C Pretty Diana

“…Pemphigus, a fatal class of blistering autoimmune disorders, leads the body's defense mechanisms to turn on itself. It affects 0.75 to 5 patients, per 100,000…”
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Systematic Literature Review on Early Diagnosis of Oral Squamous Cell Carcinoma by Deep Learning Techniques by V, Sumathy, Diana Cyril, C. Pretty

“…Oral Squamous Cell Carcinoma (OSCC) is the seventh most prevalent type of cancer in the neck and head. The prognosis and survival rate of the patient is…”
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Web-based chatbot for basic financial and mortgage services by Thodge, Atharva, M, Harsh, Cyril, C. Pretty Diana

“…A Chatbot often also called as conversational interfaces, enable users a new method to converse with the computers. Traditionally, any mundane query would…”
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An Automated and Fine- Tuned Image Detection and Classification System for Plant Leaf Diseases by Amritraj, Shoibam, Hans, Nitish, Diana Cyril, C. Pretty

“…Plant leaf disease detection is the process of discovering and diagnosing diseases that damage the plant leaves. This can be done using a variety of approaches…”
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A survey on deep Learning's Effectiveness in Detecting Brain Tumors by Devi, Pothreddypally Jhansi, Cyril, C. Pretty Diana, Babu, Ch. Madhu

“…Recognizing brain tumors is a crucial part of medical imaging. Deep learning algorithms have become effective tools for examining medical images. The present…”
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Brain Tumor Diagnosis Using CNN by Amritraj, Shoibam, Mahendra, Jhalak, Diana Cyril, C. Pretty

“…Brain tumors are deadly neurological conditions caused by uncontrolled cell growth in the brain or skull. This disease's mortality rate continues to rise…”
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An efficient big data classification using elastic collision seeker optimization based faster R-CNN by Chidambaram, S., Cyril, C. Pretty Diana, Ganesh, S. Sankar

“…Big data is a large set of data that is analyzed with the calculation to manifest myriad sources. Big data is capable of handling various challenges to…”
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Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them by Chase, J Geoffrey, Preiser, Jean-Charles, Dickson, Jennifer L, Pironet, Antoine, Chiew, Yeong Shiong, Pretty, Christopher G, Shaw, Geoffrey M, Benyo, Balazs, Moeller, Knut, Safaei, Soroush, Tawhai, Merryn, Hunter, Peter, Desaive, Thomas

“…Critical care, like many healthcare areas, is under a dual assault from significantly increasing demographic and economic pressures. Intensive care unit (ICU)…”
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Stroke Volume estimation using aortic pressure measurements and aortic cross sectional area: Proof of concept by Kamoi, S., Pretty, C. G., Chiew, Y. S., Pironet, A., Davidson, S., Desaive, T., Shaw, G. M., Chase, J. G.

“…Accurate Stroke Volume (SV) monitoring is essential for patient with cardiovascular dysfunction patients. However, direct SV measurements are not clinically…”
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A continuous wave radar technique for structural health monitoring by Amies, A. C., Pretty, C. G., Rodgers, G. W., Chase, J. G.

“…Radar is a technique commonly used to determine the instantaneous distance between moving objects. This paper proposes the application of a frequency-modulated…”
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Safety, efficacy and clinical generalization of the STAR protocol: a retrospective analysis by Stewart, Kent W., Pretty, Christopher G., Tomlinson, Hamish, Thomas, Felicity L., Homlok, József, Noémi, Szabó Némedi, Illyés, Attila, Shaw, Geoffrey M., Benyó, Balázs, Chase, J. Geoffrey

“…Background The changes in metabolic pathways and metabolites due to critical illness result in a highly complex and dynamic metabolic state, making safe,…”
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Beat-by-Beat Estimation of the Left Ventricular Pressure–Volume Loop Under Clinical Conditions by Davidson, Shaun, Pretty, Chris, Kamoi, Shun, Desaive, Thomas, Chase, J. Geoffrey

“…This paper develops a method for the minimally invasive, beat-by-beat estimation of the left ventricular pressure–volume loop. This method estimates the left…”
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Clinically applicable model-based method, for physiologically accurate flow waveform and stroke volume estimation by Balmer, Joel, Pretty, Christopher G., Davidson, Shaun, Mehta-Wilson, Tashana, Desaive, Thomas, Smith, Rachel, Shaw, Geoffrey M., Chase, J. Geoffrey

“…•Accurate end systole detection the capstone of pulse contour based flow estimation.•Superior end systole detection enables dynamic windkessel parameter…”
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Incorporating pulse wave velocity into model-based pulse contour analysis method for estimation of cardiac stroke volume by Smith, Rachel, Balmer, Joel, Pretty, Christopher G., Mehta-Wilson, Tashana, Desaive, Thomas, Shaw, Geoffrey M., Chase, J. Geoffrey

“…•Pulse wave velocity used for dynamic parameter identification of pulse contour model.•Validation using clinically relevant pressure waveforms during…”
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