HemoSys: An Integrated Framework for Hemodialysis Machine Operation, Real-Time Monitoring, Data Management and Predictive Modeling for Patient Safety / (Record no. 612776)

000 -LEADER
fixed length control field 03426nam a22001577a 4500
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 610
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ali, Zumair
245 ## - TITLE STATEMENT
Title HemoSys: An Integrated Framework for Hemodialysis Machine Operation, Real-Time Monitoring, Data Management and Predictive Modeling for Patient Safety /
Statement of responsibility, etc. Zumair Ali
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Islamabad :
Name of producer, publisher, distributor, manufacturer SMME- NUST;
Date of production, publication, distribution, manufacture, or copyright notice 2025
300 ## - PHYSICAL DESCRIPTION
Extent 91p.
Other physical details Soft Copy
Dimensions 30cm
500 ## - GENERAL NOTE
General note Hemodialysis is of paramount importance to patients who undergo renal failure and kidney<br/>dysfunction. It requires precise control and monitoring to ensure the safety of the patient<br/>and the efficacy of the process. HemoSys is a high-end framework for the revolutionized<br/>operation of hemodialysis machines by real-time monitoring, data management, and<br/>predictive modeling. The system will answer all diverse needs related to hemodialysis<br/>treatment. It has highly developed peristaltic pumps and syringe pump controllers to<br/>manage blood and dialysate flows, assuring cautious fluid management. Advanced sensors<br/>are integrated for real-time monitoring of pressure, temperature, and bubble formation that<br/>support the continuous tracking of critical parameters of treatment. The Graphical User<br/>Interface enables users to easily interact with real-time visualization of sensor data and<br/>offers intuitive controls for the hemodialysis operation. Other than the operational<br/>capacities, several strong data management features are hosted by HemoSys. All patients,<br/>operators, physicians, and sessions data get stored in a MySQL database, thereby providing<br/>an efficient retrieval and update of data. The system also offers export options to PDF and<br/>excel, thereby enhancing data accessibility and usability. One of the unique features of<br/>HemoSys is predictive modeling incorporated in the software framework. In this research,<br/>Random Forest, XG Boost, Cat Boost and Light GBM were employed, trained on the<br/>hemodialysis patient data of 10352 dialysis sessions, to predict the adequacy of<br/>hemodialysis session based on all the relative variables instead of only relying on few<br/>variables like Kt/V, Ultrafiltration etc. These models were trained using RFE and PCA<br/>methods to find the best feature classification/reduction technique for adequacy prediction.xvii<br/>The paired t-test indicated that there was a significant difference between outcome<br/>parameters for both in feature reduction techniques and RFE was proved better. And under<br/>RFE, the paired t-test was employed on performance matrix (accuracy, precision, F1 score,<br/>recall and AUROC) of all the models and there was significant difference between two<br/>combinations (RF, XG Boost) and (RF, LGBM). XG Boost and LGBM performed best<br/>based on outcome parameters (0.9932, 0.9949, 0.0.9949, 0.9949, 0.9924) and (0.9931,<br/>0.9949, 0.9952, 0.9951, 0.9916) respectively. HemoSys is the step forward to introduce<br/>predictive modelling in dialysis technology to provide operators with significant insight to<br/>change session parameters for better patient outcomes. This approach increases safety,<br/>efficiency, and effectiveness regarding hemodialysis treatment and is therefore a very<br/>promising solution for healthcare providers, patients, and all stakehold
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MS Biomedical Engineering (BME)
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Supervisor : Dr. Muhammad Asim Waris
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://10.250.8.41:8080/xmlui/handle/123456789/49123">http://10.250.8.41:8080/xmlui/handle/123456789/49123</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Thesis
Holdings
Withdrawn status Permanent Location Current Location Shelving location Date acquired Full call number Barcode Koha item type
  School of Mechanical & Manufacturing Engineering (SMME) School of Mechanical & Manufacturing Engineering (SMME) E-Books 01/28/2025 610 SMME-TH-1110 Thesis
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