The Application of Classification Algorithm in Biochemical Testing
Xu Kun Peng
The Central Hospital of Enshi Tujia and Miao, Autonomous Prefecture, Hubei Province, 445000, China
Keywords: Computer, Classification Algorithms, Medical Examination, Biochemical Tests.
Abstract: In today's society, people's living standards have gradually improved, and their health has gradually been paid
attention to. In order to better understand the health of the body, physical examination is a very important
way, in which biochemical tests can clearly know which part of the body has problems. However, traditional
methods cannot see the biochemical test results clearly. Therefore, a classification algorithm is proposed for
biochemical test analysis. Firstly, the computer is used to classify and analyze the test results, and the
indicators are divided according to the requirements of biochemical tests to reduce biochemical tests in the
interfering factor. Then, the computer classifies the results of the biochemical tests in the physical
examination, forms a biochemical test plan, and tests the biochemistry The results were comprehensively
analyzed. MATLAB simulation shows that under certain evaluation criteria, the classification algorithm has
a high impact on the accuracy of biochemical tests in physical examination. The reliability of biochemical
tests is better than traditional methods.
1 INTRODUCTION
Biochemical testing is one of the important contents
of physical examination and is of great significance
for understanding physical health (Li, 2023).
However, in the process of biochemical testing, there
is a problem of poor accuracy in the biochemical test
scheme, which brings certain errors to the physical
examination results (Wang, 2023). Some scholars
believe that the application of classification algorithm
to physical examination analysis can effectively
analyze the biochemical test scheme and provide
corresponding support for biochemical testing. On
this basis (Wang and Zhang, 2022), a classification
algorithm is proposed to optimize the biochemical
test scheme and verify the effectiveness of the model
(Xun and Hu, et al. 2022).
2 RELATED CONCEPTS
2.1 Mathematical Description of the
Classification Algorithm
The classification algorithm uses artificial
intelligence to optimize the biochemical test scheme,
and finds the unqualified values in the physical
examination according is
i
y
, and the indicators in
the biochemical test is
i
z
, and integrates the
biochemical test scheme
(
iij
tol y d⋅ ）
, and the final
judgment The feasibility of the medical examination
is calculated as shown in Equation (1).
1
() max(
)
iij ij ij
d
tol y d y d
n
μ
σ
−
⋅=≥ ⊕
(1)
Among them, the judgment of outliers is shown in
Equation (2).
22
1
1
max( ) ( 3) (
n
ij ij ij i
i
dd meand d
n
=
=−


(2
)
The classification algorithm combines the
advantages of artificial intelligence and uses physical
examination for quantification, which can improve
the accuracy of biochemical tests (Zhang, 2022).
Hypothesis I. The biochemical test requirements
is
i
d
, the biochemical test scheme is
i
set
, the
satisfaction of the biochemical test scheme is
i
y
, and
Peng, X. K.
The Application of Classification Algorithm in Biochemical Testing.
DOI: 10.5220/0013551200004664
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 3rd International Conference on Futur istic Technology (INCOFT 2025) - Volume 1, pages 569-573
ISBN: 978-989-758-763-4
Proceedings Copyright © 2025 by SCITEPRESS – Science and Technology Publications, Lda.
569

the biochemical test scheme judgment function is
(0)
i
Pd ≈
, as shown in Equation (3).
1
1
()
n
n
ii i ii
i
Ps d y dY ξ
=
=→←⎯→




(3)
2.2 Selection of biochemical test
scheme
Hypothesis II. The physical examination function is
()
i
rd
, the weight coefficient is
i
w
, then, the
biochemical test requires a failed physical
examination as shown in Equation (4):
1
()= ()
n
ii i i ii
i
rd z Ps w dY
=
⋅−≠

∏
(4
)
Based on hypotheses I and II, the comprehensive
function of the physical examination can be obtained,
and the result is shown in Equation (5).
() () max( )
ii ij
rd Ps d+≤
(5
)
In order to improve the effectiveness of the
accuracy of the test results, all data needs to be
standardized and the results are shown in Equation
(6).

2
1
1
() () ( )
n
ii ij i
i
rd Ps mean d d
n
=
+↔


(6)
2.3 Analysis of biochemical test
protocols
Before the classification algorithm, the biochemical
test scheme should be analyzed in multiple
dimensions, and the biochemical test requirements
should be mapped to the physical examination
library, and the unqualified biochemical test scheme
should be eliminated is
()
i
No d
, According to
Equation (6), the anomaly evaluation scheme can be
proposed, and the results are shown in Equation (7).

2
1
() ()
()
1
()
ii
i
n
ij i
i
rd Ps
No d
mean d d
n
=
+
=



(7
)
Among them,

2
1
() ()
1
1
()
ii
n
ij i
i
rd Ps
mean d d
n
=
+
≤


it is
stated that the scheme needs to be proposed,
otherwise the scheme integration required is
()
i
Z
hd
, and the result is shown in Equation (8).

() min[ () ()]
iii
Z
hd rd Ps=+

(8
)
The physical examination is comprehensively
analyzed, and the threshold and index weights of the
biochemical test scheme are set to ensure the
accuracy of the classification algorithm. The physical
examination is a systematic test of the biochemical
test plan, which needs to be accurately analyzed. If
the physical examination is in a nonnormal
distribution is
()
i
unno d
, its biochemical test
protocol is affected, reducing the accuracy of the
overall biochemical test is
()
i
accur d
, calculated as
shown in Equation (9).


min[ ( ) ( )]
( ) 100%
() ()
ii
i
ii
rd Ps
accur d
rd Ps
+
=×
+


(9
)
The investigation of the biochemical test scheme
showed that the biochemical test scheme showed a
multidimensional distribution, which was in line with
the objective facts. The physical examination is not
directional, indicating that the biochemical test
scheme has strong randomness, so it is regarded as a
high analytical study. If the random function of the
medical examination is
()
i
randon d
, then the
calculation of formula (9) can be expressed as
formula (10).


min[ ( ) ( )]
( ) 100% ( )
() ()
ii
ii
ii
rd Ps
accur d randon d
rd Ps
+
=×+
+


(10
)
Among them, the physical examination meets the
normal requirements, mainly artificial intelligence
adjusts the physical examination, removes duplicate
and irrelevant schemes, and supplements the default
INCOFT 2025 - International Conference on Futuristic Technology
570

scheme, so that the dynamic correlation of the entire
biochemical test scheme is strong.
3 OPTIMIZATION STRATEGIES
FOR MEDICAL
EXAMINATIONS
The classification algorithm adopts a random
optimization strategy for physical examination, and
adjusts the test result parameters to realize the scheme
optimization of physical examination. The
classification algorithm divides the physical
examination into different biochemical test levels,
and randomly selects different schemes. In the
iterative process, the biochemical test schemes of
different biochemical test grades are optimized and
analyzed. After the optimization analysis is
completed, the biochemical test levels of different
protocols are compared to record the best physical
examination.
4 PRACTICAL EXAMPLES OF
MEDICAL EXAMINATIONS
4.1 Introduction to Biochemical Tests
In order to facilitate biochemical testing, the physical
examination in complex cases is the research object,
there are 12 paths, the test time is 12h, and the
biochemical test scheme of the specific physical
examination is shown in Table 1.
Table 1: Biochemical testing requirements
Scope of
application
grade accuracy Biochemical
tests
Auscultation of
the heart
routine 86.04 86.71
Hi
g
he
r
80.04 88.22
electrocardiogram routine 83.31 81.68
Hi
g
he
r
82.53 85.38
Liver function routine 85.48 85.93
Hi
g
he
r
84.92 82.12
The biochemical test process in Table 1 is shown
in Figure 1.
Compared with traditional methods, the
biochemical test scheme of the classification
algorithm is closer to the actual biochemical test
requirements. In terms of the rationality and accuracy
of the biochemical test results of physical
examination, the classification algorithm is superior
to the traditional method. From the changes in the
biochemical test scheme in Figure 1, it can be seen
that the classification algorithm has higher accuracy
and faster judgment speed. Therefore, the
biochemical test scheme speed, biochemical test
scheme feasibility, and summation stability of the
classification algorithm are better.
Biochemica
l test
Classificatio
n algorithm
Inspection
and
analysis
Reliability
Be in good
health
Data
accuracy
Figure 1: The analytical process of the medical examination
4.2 Physical Examination
The biochemical test protocol of physical
examination contains non-structural information,
semi-structural information, and structural
information. After the preselection of the
classification algorithm, the biochemical test scheme
of the preliminary physical examination was
obtained, and the biochemical test of the physical
examination was obtained Analyze the feasibility of
the scheme. In order to more accurately verify the
innovative effect of physical examination, select
different biochemical test levels, biochemical test
schemes, as shown in Table 2.
Table 2. The overall picture of the biochemical testing
protocol
Cate
g
or
y
Accurac
y
Anal
y
sis rate
Auscultation of the
heart
82.19 86.67
Electrocardio
g
ram 83.72 88.55
Liver function 87.18 87.77
mean 85.30 87.28
X
6
83.90 86.18
P=2.187
The Application of Classification Algorithm in Biochemical Testing
571

4.3 Biochemical Testing and Stability
of Biochemical Tests
In order to verify the accuracy of the classification
algorithm, the biochemical test scheme is compared
with the traditional method, which is shown in Figure
2.
Figure 2: Biochemical tests for different algorithms
It can be seen from Figure 2 that the biochemical
test of the classification algorithm is higher than that
of the traditional method, but the error rate is lower,
indicating that the biochemical test of the
classification algorithm is relatively stable, while that
of the traditional method Biochemical tests are
uneven. The average biochemical test scheme of the
above three algorithms is shown in Table 3.
Table 3: Comparison of biochemical test accuracy of
different methods
algorithm Biochemical
tests
Magnitude
of change
error
Classification
algorithm
93.16 91.40 92.16
Traditional
methods
91.91 89.15 89.17
P 87.48 83.77 90.89
It can be seen from Table 3 that the traditional
method has shortcomings in the accuracy of
biochemical tests in physical examination, and the
physical examination has changed greatly and the
error rate is high. The general results of classification
algorithms have higher biochemical tests than
traditional methods. At the same time, the
biochemical test of the classification algorithm was
greater than 91%, and the accuracy did not change
significantly. In order to further verify the superiority
of the classification algorithm. In order to further
verify the effectiveness of the proposed method, the
classification algorithm is generally analyzed by
different methods, as shown in Figure 3.
Figure 3: Biochemical test of classification algorithm
biochemical test
It can be seen from Figure 3 that the biochemical
test of the classification algorithm is significantly
better than the traditional method, and the reason is
that the classification algorithm increases the
adjustment coefficient of physical examination and
sets the test results thresholds to reject biochemical
test protocols that do not meet the requirements.
5 CONCLUSIONS
Aiming at the problem of unsatisfactory biochemical
test in physical examination, this paper proposes a
classification algorithm and combines artificial
intelligence to optimize the physical examination. At
the same time, the accuracy of biochemical tests is
analyzed in depth and the test result collection is
constructed. Studies have shown that the
classification algorithm can improve the accuracy of
physical examination, and can perform general
biochemical tests for physical examination. However,
in the process of classification algorithm, too much
attention is paid to the analysis of biochemical tests,
resulting in unreasonable selection of biochemical
test indicators.
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